diff --git "a/openvino_model.xml" "b/openvino_model.xml"
--- "a/openvino_model.xml"
+++ "b/openvino_model.xml"
@@ -36,13 +36,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4" name="Constant_432625_compressed" type="Const" version="opset1">
+		<layer id="4" name="Constant_52090_compressed" type="Const" version="opset1">
 			<data element_type="f16" shape="" offset="0" size="2" />
 			<output>
 				<port id="0" precision="FP16" />
 			</output>
 		</layer>
-		<layer id="5" name="Constant_432625" type="Convert" version="opset1">
+		<layer id="5" name="Constant_52090" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -54,7 +54,7 @@
 				<port id="1" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="6" name="ShapeOf_432611" type="ShapeOf" version="opset3">
+		<layer id="6" name="ShapeOf_52076" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="I64">
@@ -68,7 +68,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7" name="Constant_432613" type="Const" version="opset1">
+		<layer id="7" name="Constant_52078" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -76,13 +76,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="8" name="Constant_432615" type="Const" version="opset1">
+		<layer id="8" name="Constant_52080" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="9" name="Gather_432616" type="Gather" version="opset8">
+		<layer id="9" name="Gather_52081" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -99,7 +99,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="10" name="Constant_432618" type="Const" version="opset1">
+		<layer id="10" name="Constant_52083" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="10" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -107,7 +107,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="11" name="Constant_432620" type="Const" version="opset1">
+		<layer id="11" name="Constant_52085" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -115,7 +115,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="12" name="Constant_432622" type="Const" version="opset1">
+		<layer id="12" name="Constant_52087" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="18" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -123,7 +123,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="13" name="Concat_432623" type="Concat" version="opset1">
+		<layer id="13" name="Concat_52088" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -145,7 +145,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="14" name="Broadcast_432626" type="Broadcast" version="opset3">
+		<layer id="14" name="Broadcast_52091" type="Broadcast" version="opset3">
 			<data mode="numpy" />
 			<input>
 				<port id="0" precision="FP32" />
@@ -162,7 +162,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="15" name="ReadValue_417408" type="ReadValue" version="opset6">
+		<layer id="15" name="ReadValue_49860" type="ReadValue" version="opset6">
 			<data variable_id="past_key_values.9.valuepresent.9.value" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
@@ -181,13 +181,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="16" name="Constant_401947" type="Const" version="opset1">
+		<layer id="16" name="Constant_47386" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="17" name="Gather_401948" type="Gather" version="opset8">
+		<layer id="17" name="Gather_47387" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
@@ -210,7 +210,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="18" name="self.model.gpt_neox.embed_in.weight_compressed" type="Const" version="opset1">
+		<layer id="18" name="self.model.gpt_neox.embed_in.weight" type="Const" version="opset1">
 			<data element_type="f16" shape="50432, 2560" offset="26" size="258211840" />
 			<output>
 				<port id="0" precision="FP16" names="self.model.gpt_neox.embed_in.weight">
@@ -219,7 +219,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="19" name="self.model.gpt_neox.embed_in.weight" type="Convert" version="opset1">
+		<layer id="19" name="__module.model.gpt_neox.embed_in/ov_ext::embedding/Convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -237,7 +237,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="20" name="__module.model.gpt_neox.embed_in/aten::embedding/Convert" type="Convert" version="opset1">
+		<layer id="20" name="__module.model.gpt_neox.embed_in/ov_ext::embedding/Convert_1" type="Convert" version="opset1">
 			<data destination_type="i32" />
 			<input>
 				<port id="0" precision="I64">
@@ -252,13 +252,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="21" name="__module.model.gpt_neox.embed_in/aten::embedding/Constant" type="Const" version="opset1">
+		<layer id="21" name="__module.model.gpt_neox.embed_in/ov_ext::embedding/Constant" type="Const" version="opset1">
 			<data element_type="i32" shape="" offset="258211866" size="4" />
 			<output>
 				<port id="0" precision="I32" />
 			</output>
 		</layer>
-		<layer id="22" name="__module.model.gpt_neox.embed_in/aten::embedding/Gather" type="Gather" version="opset8">
+		<layer id="22" name="__module.model.gpt_neox.embed_in/ov_ext::embedding/Gather" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
@@ -272,14 +272,14 @@
 				<port id="2" precision="I32" />
 			</input>
 			<output>
-				<port id="3" precision="FP32" names="306,input.1">
+				<port id="3" precision="FP32" names="296,inputs_embeds">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="23" name="__module.model.gpt_neox.layers.0.input_layernorm/aten::layer_norm/Constant" type="Const" version="opset1">
+		<layer id="23" name="__module.model.gpt_neox.layers.0.input_layernorm/aten::layer_norm/Multiply" type="Const" version="opset1">
 			<data element_type="i32" shape="1" offset="258211870" size="4" />
 			<output>
 				<port id="0" precision="I32">
@@ -307,7 +307,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="25" name="Constant_325188_compressed" type="Const" version="opset1">
+		<layer id="25" name="Constant_36902_compressed" type="Const" version="opset1">
 			<data element_type="f16" shape="1, 1, 2560" offset="258211874" size="5120" />
 			<output>
 				<port id="0" precision="FP16">
@@ -317,7 +317,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="26" name="Constant_325188" type="Convert" version="opset1">
+		<layer id="26" name="Constant_36902" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -337,7 +337,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="27" name="__module.model.gpt_neox.layers.0.input_layernorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
+		<layer id="27" name="__module.model.gpt_neox.layers.0.input_layernorm/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -359,7 +359,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="28" name="Constant_325189_compressed" type="Const" version="opset1">
+		<layer id="28" name="Constant_36903_compressed" type="Const" version="opset1">
 			<data element_type="f16" shape="1, 1, 2560" offset="258216994" size="5120" />
 			<output>
 				<port id="0" precision="FP16">
@@ -369,7 +369,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="29" name="Constant_325189" type="Convert" version="opset1">
+		<layer id="29" name="Constant_36903" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -404,7 +404,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="315">
+				<port id="2" precision="FP32" names="381,hidden_states.1">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
@@ -438,7 +438,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="33" name="__module.model.gpt_neox.layers.0.attention.query_key_value/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="33" name="__module.model.gpt_neox.layers.0.attention.query_key_value/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -459,7 +459,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="34" name="Constant_325190_compressed" type="Const" version="opset1">
+		<layer id="34" name="Constant_36904_compressed" type="Const" version="opset1">
 			<data element_type="f16" shape="1, 1, 7680" offset="297543714" size="15360" />
 			<output>
 				<port id="0" precision="FP16">
@@ -469,7 +469,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="35" name="Constant_325190" type="Convert" version="opset1">
+		<layer id="35" name="Constant_36904" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -489,7 +489,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="36" name="__module.model.gpt_neox.layers.0.attention.query_key_value/aten::linear/Add" type="Add" version="opset1">
+		<layer id="36" name="__module.model.gpt_neox.layers.0.attention.query_key_value/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -504,14 +504,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="322,qkv.1">
+				<port id="2" precision="FP32" names="388,qkv.1">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>7680</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="37" name="__module.model.gpt_neox.layers.0.attention/prim::ListConstruct/Concat" type="Const" version="opset1">
+		<layer id="37" name="__module.model.gpt_neox.layers.0.attention/prim::ListConstruct" type="Const" version="opset1">
 			<data element_type="i64" shape="4" offset="297559074" size="32" />
 			<rt_info>
 				<attribute name="precise" version="0" />
@@ -535,7 +535,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="326,qkv.3">
+				<port id="2" precision="FP32" names="392,qkv.3">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
@@ -543,41 +543,39 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="39" name="Constant_294370" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559106" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="39" name="Constant_709" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="40" name="Constant_294373" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559138" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="40" name="Constant_711" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="18" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="41" name="Constant_294376" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559170" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="41" name="Constant_713" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="42" name="__module.model.gpt_neox/aten::slice/Reshape_1" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559114" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="42" name="__module.model.gpt_neox.layers.0.attention/aten::slice/Slice" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="43" name="__module.model.gpt_neox.layers.0.attention/aten::slice/Slice" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -586,17 +584,20 @@
 					<dim>240</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="327">
+				<port id="5" precision="FP32" names="393">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
@@ -604,15 +605,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="43" name="Constant_222" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559202" size="32" />
+		<layer id="44" name="Constant_722" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="297559122" size="32" />
 			<output>
-				<port id="0" precision="I64" names="328">
+				<port id="0" precision="I64" names="394">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="44" name="__module.model.gpt_neox.layers.0.attention/aten::permute/Transpose" type="Transpose" version="opset1">
+		<layer id="45" name="__module.model.gpt_neox.layers.0.attention/aten::permute/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -625,7 +626,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="329,query.1">
+				<port id="2" precision="FP32" names="395,query.1">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -633,41 +634,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="45" name="Constant_294382" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559106" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="46" name="Constant_763" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="46" name="Constant_294385" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559138" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="47" name="Constant_765" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="18" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="47" name="Constant_294388" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559170" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="48" name="Constant_767" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="48" name="__module.model.gpt_neox.layers.0.attention/aten::slice/Slice_1" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="49" name="__module.model.gpt_neox.layers.0.attention/aten::slice/Slice_1" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -676,17 +667,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="336,q.1">
+				<port id="5" precision="FP32" names="402,q.1">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -694,123 +688,52 @@
 				</port>
 			</output>
 		</layer>
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 		</layer>
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+		<layer id="51" name="__module.model.gpt_neox.rotary_emb/aten::to/Convert" type="Convert" version="opset1">
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-		<layer id="56" name="ShapeOf_337904" type="ShapeOf" version="opset3">
+		<layer id="52" name="ShapeOf_38165" type="ShapeOf" version="opset3">
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 			<output>
 				<port id="1" precision="I64">
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+					<dim>2</dim>
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 		</layer>
-		<layer id="57" name="Constant_340970" type="Const" version="opset1">
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+		<layer id="53" name="Constant_38166" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<rt_info>
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@@ -820,7 +743,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="58" name="Constant_337906" type="Const" version="opset1">
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@@ -829,11 +752,11 @@
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 		</layer>
-		<layer id="59" name="Gather_337907" type="Gather" version="opset8">
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 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
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+					<dim>2</dim>
 				</port>
 				<port id="1" precision="I64">
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@@ -841,54 +764,34 @@
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 			</input>
 			<output>
-				<port id="3" precision="I64" names="340">
+				<port id="3" precision="I64" names="352">
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-		<layer id="60" name="Constant_432638_compressed" type="Const" version="opset1">
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-		<layer id="61" name="Constant_432638" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="56" name="Constant_32526" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
 			<rt_info>
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+				<attribute name="precise" version="0" />
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 			<output>
 				<port id="0" precision="I64">
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-		<layer id="64" name="Constant_432635" type="Const" version="opset1">
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+		<layer id="57" name="Constant_32528" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
+			<rt_info>
+				<attribute name="precise" version="0" />
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 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="65" name="Concat_432636" type="Concat" version="opset1">
+		<layer id="58" name="__module.model.gpt_neox.rotary_emb/prim::ListConstruct" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -900,253 +803,160 @@
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 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I64">
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-					<dim>32</dim>
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-					<dim>80</dim>
+				<port id="3" precision="I64">
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 		</layer>
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-			<data variable_id="past_key_values.0.keypresent.0.key" variable_type="f32" variable_shape="?,32,?,80" />
+		<layer id="59" name="__module.model.gpt_neox.rotary_emb/aten::expand/Broadcast" type="Broadcast" version="opset3">
+			<data mode="bidirectional" />
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 				<port id="0" precision="FP32">
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-					<dim>0</dim>
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+					<dim>40</dim>
+					<dim>1</dim>
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+				<port id="1" precision="I64">
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 				</port>
 			</input>
 			<output>
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 		</layer>
-		<layer id="68" name="Constant_401890" type="Const" version="opset1">
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+		<layer id="60" name="204" type="Const" version="opset1">
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+				<port id="0" precision="I64" names="204" />
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 		</layer>
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+		<layer id="61" name="__module.model.gpt_neox.rotary_emb/aten::unsqueeze/Unsqueeze_2" type="Unsqueeze" version="opset1">
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 					<dim>-1</dim>
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-		<layer id="83" name="__module.model.gpt_neox.layers.0.attention/aten::unsqueeze/Unsqueeze" type="Unsqueeze" version="opset1">
+		<layer id="68" name="__module.model.gpt_neox.layers.0.attention/aten::unsqueeze/Unsqueeze" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -1156,7 +966,7 @@
 				<port id="1" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="356,cos.3">
+				<port id="2" precision="FP32" names="1081,1193,1305,1417,1529,1641,1753,1865,1977,2089,2201,2313,2425,2537,2649,2761,2873,2985,3097,3209,3321,3433,3545,3657,3769,3881,406,521,633,745,857,969,cos,cos.11,cos.13,cos.15,cos.17,cos.19,cos.21,cos.23,cos.25,cos.27,cos.29,cos.31,cos.33,cos.35,cos.37,cos.39,cos.41,cos.43,cos.45,cos.47,cos.49,cos.51,cos.53,cos.55,cos.57,cos.59,cos.61,cos.63,cos.65,cos.67,cos.7,cos.9">
 					<dim>-1</dim>
 					<dim>1</dim>
 					<dim>-1</dim>
@@ -1164,7 +974,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="84" name="__module.model.gpt_neox.layers.0.attention/aten::mul/Multiply" type="Multiply" version="opset1">
+		<layer id="69" name="__module.model.gpt_neox.layers.0.attention/aten::mul/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -1181,7 +991,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="360">
+				<port id="2" precision="FP32" names="408">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -1189,183 +999,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="85" name="Constant_294405" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559106" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="86" name="Constant_294404" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886962" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="70" name="Constant_921" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559246" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="87" name="__module.model.gpt_neox.layers.0.attention/aten::size/ShapeOf_5" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
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-			</input>
-			<output>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="88" name="207" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="297886962" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I64" names="207" />
-			</output>
-		</layer>
-		<layer id="89" name="__module.model.gpt_neox.layers.0.attention/aten::size/Constant_5" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="258211866" size="4" />
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-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I32" />
-			</output>
-		</layer>
-		<layer id="90" name="__module.model.gpt_neox.layers.0.attention/aten::size/Gather_5" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
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-				<port id="1" precision="I64" />
-				<port id="2" precision="I32" />
-			</input>
-			<output>
-				<port id="3" precision="I64" names="361,366" />
-			</output>
-		</layer>
-		<layer id="91" name="Constant_57" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="297886954" size="8" />
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-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I64" names="219" />
-			</output>
-		</layer>
-		<layer id="92" name="__module.model.gpt_neox.layers.0.attention/aten::floor_divide/Divide_1" type="Divide" version="opset1">
-			<data auto_broadcast="numpy" m_pythondiv="true" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
-			</input>
-			<output>
-				<port id="2" precision="I64" />
-			</output>
-		</layer>
-		<layer id="93" name="__module.model.gpt_neox.layers.0.attention/aten::floor_divide/Floor_1" type="Floor" version="opset1">
-			<input>
-				<port id="0" precision="I64" />
-			</input>
-			<output>
-				<port id="1" precision="I64" names="363,364,368,369" />
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-		</layer>
-		<layer id="94" name="Constant_337584" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886946" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="71" name="Constant_923" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559254" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="95" name="__module.model.gpt_neox.layers.0.attention/aten::slice/Unsqueeze_17" type="Reshape" version="opset1">
-			<data special_zero="false" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="I64">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="96" name="Constant_294403" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="258211866" size="4" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="72" name="Constant_925" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
 			<output>
-				<port id="0" precision="I32">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="97" name="ScatterUpdate_294406" type="ScatterUpdate" version="opset3">
-			<input>
 				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="4" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="98" name="Constant_294409" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297886970" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="99" name="Constant_294412" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559170" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
 			</output>
 		</layer>
-		<layer id="100" name="__module.model.gpt_neox.layers.0.attention/aten::slice/Slice_3" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="73" name="__module.model.gpt_neox.layers.0.attention/aten::slice/Slice_2" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -1374,17 +1032,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="370,x2.1">
+				<port id="5" precision="FP32" names="418,x2.1">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -1392,8 +1053,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="101" name="Constant_325191_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 1, 1" offset="297887002" size="2" />
+		<layer id="74" name="Constant_36905_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 1, 1" offset="297559262" size="2" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -1403,7 +1064,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="102" name="Constant_325191" type="Convert" version="opset1">
+		<layer id="75" name="Constant_36905" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -1425,7 +1086,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="103" name="__module.model.gpt_neox.layers.0.attention/aten::neg/Multiply" type="Multiply" version="opset1">
+		<layer id="76" name="__module.model.gpt_neox.layers.0.attention/aten::neg/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -1442,7 +1103,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="371">
+				<port id="2" precision="FP32" names="419">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -1450,30 +1111,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="104" name="Constant_294457" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559106" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="77" name="Constant_818" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="105" name="Constant_294462" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559170" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="78" name="Constant_862" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559246" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="79" name="Constant_864" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="106" name="__module.model.gpt_neox.layers.0.attention/aten::slice/Slice_4" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="80" name="__module.model.gpt_neox.layers.0.attention/aten::slice/Slice_3" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -1482,17 +1144,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="365">
+				<port id="5" precision="FP32" names="413">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -1500,7 +1165,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="107" name="__module.model.gpt_neox.layers.0.attention/aten::cat/Concat" type="Concat" version="opset1">
+		<layer id="81" name="__module.model.gpt_neox.layers.0.attention/aten::cat/Concat" type="Concat" version="opset1">
 			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
@@ -1517,7 +1182,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="373">
+				<port id="2" precision="FP32" names="421">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -1525,107 +1190,23 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="108" name="self.model.gpt_neox.layers.0.attention.rotary_emb.sin_cached_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="2048, 80" offset="297887004" size="327680" />
-			<output>
-				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.0.attention.rotary_emb.sin_cached">
-					<dim>2048</dim>
-					<dim>80</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="109" name="self.model.gpt_neox.layers.0.attention.rotary_emb.sin_cached" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
-			<input>
-				<port id="0" precision="FP16">
-					<dim>2048</dim>
-					<dim>80</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32">
-					<dim>2048</dim>
-					<dim>80</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="110" name="__module.model.gpt_neox.layers.0.attention.rotary_emb/aten::slice/Unsqueeze_4" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="2" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="111" name="__module.model.gpt_neox.layers.0.attention.rotary_emb/aten::slice/Unsqueeze_6" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886946" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="112" name="__module.model.gpt_neox.layers.0.attention.rotary_emb/aten::slice/Slice_1" type="StridedSlice" version="opset1">
-			<data begin_mask="0" end_mask="0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="82" name="__module.model.gpt_neox.rotary_emb/aten::sin/Sin" type="Sin" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
-					<dim>2048</dim>
-					<dim>80</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="I64">
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="4" precision="FP32" names="350,353,sin.1">
 					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="113" name="Constant_38230" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="258211866" size="4" />
-			<output>
-				<port id="0" precision="I32" />
-			</output>
-		</layer>
-		<layer id="114" name="__module.model.gpt_neox.layers.0.attention/aten::index/Gather_1" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
-				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-				</port>
-				<port id="2" precision="I32" />
 			</input>
 			<output>
-				<port id="3" precision="FP32" names="358">
+				<port id="1" precision="FP32" names="366,368,370,373,sin.1,sin.3,sin.5">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="115" name="__module.model.gpt_neox.layers.0.attention/aten::unsqueeze/Unsqueeze_1" type="Unsqueeze" version="opset1">
+		<layer id="83" name="__module.model.gpt_neox.layers.0.attention/aten::unsqueeze/Unsqueeze_1" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -1635,7 +1216,7 @@
 				<port id="1" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="359,sin.3">
+				<port id="2" precision="FP32" names="1082,1194,1306,1418,1530,1642,1754,1866,1978,2090,2202,2314,2426,2538,2650,2762,2874,2986,3098,3210,3322,3434,3546,3658,3770,3882,407,522,634,746,858,970,sin,sin.11,sin.13,sin.15,sin.17,sin.19,sin.21,sin.23,sin.25,sin.27,sin.29,sin.31,sin.33,sin.35,sin.37,sin.39,sin.41,sin.43,sin.45,sin.47,sin.49,sin.51,sin.53,sin.55,sin.57,sin.59,sin.61,sin.63,sin.65,sin.67,sin.7,sin.9">
 					<dim>-1</dim>
 					<dim>1</dim>
 					<dim>-1</dim>
@@ -1643,7 +1224,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="116" name="__module.model.gpt_neox.layers.0.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
+		<layer id="84" name="__module.model.gpt_neox.layers.0.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -1660,7 +1241,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="374">
+				<port id="2" precision="FP32" names="422">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -1668,7 +1249,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="117" name="__module.model.gpt_neox.layers.0.attention/aten::add/Add" type="Add" version="opset1">
+		<layer id="85" name="__module.model.gpt_neox.layers.0.attention/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -1685,7 +1266,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="375,393,403,query.3,query.5">
+				<port id="2" precision="FP32" names="423,441">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -1693,114 +1274,128 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="118" name="Constant_236" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559202" size="32" />
+		<layer id="86" name="Constant_52102_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="" offset="0" size="2" />
 			<output>
-				<port id="0" precision="I64" names="331">
-					<dim>4</dim>
-				</port>
+				<port id="0" precision="FP16" />
 			</output>
 		</layer>
-		<layer id="119" name="__module.model.gpt_neox.layers.0.attention/aten::permute/Transpose_1" type="Transpose" version="opset1">
+		<layer id="87" name="Constant_52102" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>80</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
+				<port id="0" precision="FP16" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="332,key.1">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
+				<port id="1" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="120" name="Constant_294508" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559106" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="88" name="Constant_52095" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="10" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="121" name="Constant_294511" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559138" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="89" name="Constant_52097" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="122" name="Constant_294514" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559170" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="90" name="Constant_52099" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="18" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="123" name="__module.model.gpt_neox.layers.0.attention/aten::slice/Slice_6" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="91" name="Concat_52100" type="Concat" version="opset1">
+			<data axis="0" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="4" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="92" name="Broadcast_52103" type="Broadcast" version="opset3">
+			<data mode="numpy" />
+			<input>
+				<port id="0" precision="FP32" />
+				<port id="1" precision="I64">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="338,k.1">
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>-1</dim>
+					<dim>0</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="124" name="__module.model.gpt_neox.layers.0.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="93" name="ReadValue_49734" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.0.keypresent.0.key" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>0</dim>
+					<dim>80</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="past_key_values.0.key">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="FP32">
+			</output>
+		</layer>
+		<layer id="94" name="Constant_47329" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="2" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="95" name="Gather_47330" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
+				<port id="1" precision="I32">
+					<dim>-1</dim>
+				</port>
+				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="376">
+				<port id="3" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -1808,165 +1403,193 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="125" name="Constant_294518" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559106" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="96" name="Constant_727" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="18" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="126" name="Constant_294517" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886962" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="97" name="Constant_729" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559264" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="127" name="__module.model.gpt_neox.layers.0.attention/aten::size/ShapeOf_7" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="98" name="Constant_731" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="99" name="__module.model.gpt_neox.layers.0.attention/aten::slice/Slice_5" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>32</dim>
+					<dim>240</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="5" precision="FP32" names="396">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="128" name="__module.model.gpt_neox.layers.0.attention/aten::size/Constant_7" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="258211866" size="4" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="100" name="Constant_740" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="297559122" size="32" />
 			<output>
-				<port id="0" precision="I32" />
+				<port id="0" precision="I64" names="397">
+					<dim>4</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="129" name="__module.model.gpt_neox.layers.0.attention/aten::size/Gather_7" type="Gather" version="opset8">
-			<data batch_dims="0" />
+		<layer id="101" name="__module.model.gpt_neox.layers.0.attention/aten::permute/Transpose_1" type="Transpose" version="opset1">
 			<input>
-				<port id="0" precision="I64">
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="I64">
 					<dim>4</dim>
 				</port>
-				<port id="1" precision="I64" />
-				<port id="2" precision="I32" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="377,382" />
+				<port id="2" precision="FP32" names="398,key.1">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="130" name="__module.model.gpt_neox.layers.0.attention/aten::floor_divide/Divide_3" type="Divide" version="opset1">
-			<data auto_broadcast="numpy" m_pythondiv="true" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
-			</input>
+		<layer id="102" name="Constant_783" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
-				<port id="2" precision="I64" />
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="131" name="__module.model.gpt_neox.layers.0.attention/aten::floor_divide/Floor_3" type="Floor" version="opset1">
-			<input>
-				<port id="0" precision="I64" />
-			</input>
+		<layer id="103" name="Constant_785" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="18" size="8" />
 			<output>
-				<port id="1" precision="I64" names="379,380,384,385" />
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="132" name="Constant_337586" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886946" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="104" name="Constant_787" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="133" name="__module.model.gpt_neox.layers.0.attention/aten::slice/Unsqueeze_33" type="Reshape" version="opset1">
-			<data special_zero="false" />
+		<layer id="105" name="__module.model.gpt_neox.layers.0.attention/aten::slice/Slice_6" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64" />
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
 				</port>
-			</input>
-			<output>
 				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="134" name="Constant_294516" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="258211866" size="4" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I32">
+				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="5" precision="FP32" names="404,k.1">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="135" name="ScatterUpdate_294519" type="ScatterUpdate" version="opset3">
+		<layer id="106" name="__module.model.gpt_neox.layers.0.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="I64">
-					<dim>1</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-				<port id="3" precision="I32">
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
 					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="FP32" names="424">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="136" name="Constant_294522" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297886970" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="107" name="Constant_1064" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559246" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="137" name="Constant_294525" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559170" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="108" name="Constant_1066" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559254" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="109" name="Constant_1068" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="138" name="__module.model.gpt_neox.layers.0.attention/aten::slice/Slice_7" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="110" name="__module.model.gpt_neox.layers.0.attention/aten::slice/Slice_7" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -1975,17 +1598,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="386,x2.3">
+				<port id="5" precision="FP32" names="434,x2.3">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -1993,8 +1619,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="139" name="Constant_325192_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 1, 1" offset="297887002" size="2" />
+		<layer id="111" name="Constant_36906_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 1, 1" offset="297559262" size="2" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -2004,7 +1630,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="140" name="Constant_325192" type="Convert" version="opset1">
+		<layer id="112" name="Constant_36906" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -2026,7 +1652,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="141" name="__module.model.gpt_neox.layers.0.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
+		<layer id="113" name="__module.model.gpt_neox.layers.0.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -2043,7 +1669,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="387">
+				<port id="2" precision="FP32" names="435">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -2051,30 +1677,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="142" name="Constant_294570" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559106" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="114" name="Constant_961" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="143" name="Constant_294575" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559170" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="115" name="Constant_1005" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559246" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="144" name="__module.model.gpt_neox.layers.0.attention/aten::slice/Slice_8" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="116" name="Constant_1007" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="117" name="__module.model.gpt_neox.layers.0.attention/aten::slice/Slice_8" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -2083,17 +1710,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="381">
+				<port id="5" precision="FP32" names="429">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -2101,7 +1731,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="145" name="__module.model.gpt_neox.layers.0.attention/aten::cat/Concat_2" type="Concat" version="opset1">
+		<layer id="118" name="__module.model.gpt_neox.layers.0.attention/aten::cat/Concat_2" type="Concat" version="opset1">
 			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
@@ -2118,7 +1748,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="389">
+				<port id="2" precision="FP32" names="437">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -2126,7 +1756,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="146" name="__module.model.gpt_neox.layers.0.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
+		<layer id="119" name="__module.model.gpt_neox.layers.0.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -2143,7 +1773,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="390">
+				<port id="2" precision="FP32" names="438">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -2151,7 +1781,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="147" name="__module.model.gpt_neox.layers.0.attention/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="120" name="__module.model.gpt_neox.layers.0.attention/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -2168,7 +1798,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="391,395">
+				<port id="2" precision="FP32" names="439,443,key_states">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -2176,7 +1806,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="148" name="__module.model.gpt_neox.layers.0.attention/aten::to/Convert_1" type="Concat" version="opset1">
+		<layer id="121" name="__module.model.gpt_neox.layers.0.attention/aten::cat/Concat_4" type="Concat" version="opset1">
 			<data axis="-2" />
 			<input>
 				<port id="0" precision="FP32">
@@ -2201,13 +1831,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="149" name="Constant_432651_compressed" type="Const" version="opset1">
+		<layer id="122" name="Constant_52114_compressed" type="Const" version="opset1">
 			<data element_type="f16" shape="" offset="0" size="2" />
 			<output>
 				<port id="0" precision="FP16" />
 			</output>
 		</layer>
-		<layer id="150" name="Constant_432651" type="Convert" version="opset1">
+		<layer id="123" name="Constant_52114" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -2219,7 +1849,7 @@
 				<port id="1" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="151" name="Constant_432644" type="Const" version="opset1">
+		<layer id="124" name="Constant_52107" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="10" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -2227,7 +1857,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="152" name="Constant_432646" type="Const" version="opset1">
+		<layer id="125" name="Constant_52109" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -2235,7 +1865,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="153" name="Constant_432648" type="Const" version="opset1">
+		<layer id="126" name="Constant_52111" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="18" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -2243,7 +1873,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="154" name="Concat_432649" type="Concat" version="opset1">
+		<layer id="127" name="Concat_52112" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -2265,7 +1895,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="155" name="Broadcast_432652" type="Broadcast" version="opset3">
+		<layer id="128" name="Broadcast_52115" type="Broadcast" version="opset3">
 			<data mode="numpy" />
 			<input>
 				<port id="0" precision="FP32" />
@@ -2282,7 +1912,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="156" name="ReadValue_417284" type="ReadValue" version="opset6">
+		<layer id="129" name="ReadValue_49736" type="ReadValue" version="opset6">
 			<data variable_id="past_key_values.0.valuepresent.0.value" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
@@ -2301,13 +1931,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="157" name="Constant_401893" type="Const" version="opset1">
+		<layer id="130" name="Constant_47332" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="158" name="Gather_401894" type="Gather" version="opset8">
+		<layer id="131" name="Gather_47333" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
@@ -2330,41 +1960,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="159" name="Constant_294620" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297886914" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="132" name="Constant_745" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559264" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="160" name="Constant_294623" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297886970" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="133" name="Constant_747" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559254" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="161" name="Constant_294626" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559170" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="134" name="Constant_749" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="162" name="__module.model.gpt_neox.layers.0.attention/aten::slice/Slice_10" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="135" name="__module.model.gpt_neox.layers.0.attention/aten::slice/Slice_10" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -2373,17 +1993,20 @@
 					<dim>240</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="333">
+				<port id="5" precision="FP32" names="399">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
@@ -2391,15 +2014,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="163" name="Constant_250" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559202" size="32" />
+		<layer id="136" name="Constant_758" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="297559122" size="32" />
 			<output>
-				<port id="0" precision="I64" names="334">
+				<port id="0" precision="I64" names="400">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="164" name="__module.model.gpt_neox.layers.0.attention/aten::permute/Transpose_2" type="Transpose" version="opset1">
+		<layer id="137" name="__module.model.gpt_neox.layers.0.attention/aten::permute/Transpose_2" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -2412,7 +2035,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="335">
+				<port id="2" precision="FP32" names="401">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -2420,7 +2043,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="165" name="__module.model.gpt_neox.layers.0.attention/aten::cat/Concat_5" type="Concat" version="opset1">
+		<layer id="138" name="__module.model.gpt_neox.layers.0.attention/aten::cat/Concat_5" type="Concat" version="opset1">
 			<data axis="-2" />
 			<input>
 				<port id="0" precision="FP32">
@@ -2445,57 +2068,28 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="166" name="__module.model.gpt_neox.layers.0.attention/aten::slice/Slice_11" type="Const" version="opset1">
-			<data element_type="boolean" shape="1, 1, 2048, 2048" offset="298214684" size="4194304" />
-			<output>
-				<port id="0" precision="BOOL" names="412">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>2048</dim>
-					<dim>2048</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="167" name="Constant_294630" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="302408988" size="24" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I64">
-					<dim>3</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="168" name="Constant_294629" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886954" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="139" name="__module.model.gpt_neox/aten::triu/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="258211866" size="4" />
 			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
-				</port>
+				<port id="0" precision="I32" />
 			</output>
 		</layer>
-		<layer id="169" name="ShapeOf_337914" type="ShapeOf" version="opset3">
+		<layer id="140" name="ShapeOf_38175" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="I64">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>2</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="170" name="Constant_337915" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="297886954" size="8" />
+		<layer id="141" name="Constant_38176" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="297559106" size="8" />
 			<rt_info>
 				<attribute name="precise" version="0" />
 			</rt_info>
@@ -2503,7 +2097,7 @@
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="171" name="Constant_337916" type="Const" version="opset1">
+		<layer id="142" name="Constant_38177" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="2" size="8" />
 			<rt_info>
 				<attribute name="precise" version="0" />
@@ -2512,47 +2106,83 @@
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="172" name="Gather_337917" type="Gather" version="opset8">
+		<layer id="143" name="Gather_38178" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>2</dim>
 				</port>
 				<port id="1" precision="I64" />
 				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" />
+				<port id="3" precision="I64" names="308,325" />
 			</output>
 		</layer>
-		<layer id="173" name="Add_337918" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="144" name="Convert_38181" type="Convert" version="opset1">
+			<data destination_type="i32" />
 			<input>
 				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="I64" names="407" />
+				<port id="1" precision="I32" />
+			</output>
+		</layer>
+		<layer id="145" name="__module.model.gpt_neox/aten::triu/Constant_2" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="297559272" size="4" />
+			<output>
+				<port id="0" precision="I32" />
+			</output>
+		</layer>
+		<layer id="146" name="__module.model.gpt_neox/aten::triu/Range" type="Range" version="opset4">
+			<data output_type="i32" />
+			<input>
+				<port id="0" precision="I32" />
+				<port id="1" precision="I32" />
+				<port id="2" precision="I32" />
+			</input>
+			<output>
+				<port id="3" precision="I32">
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="147" name="__module.model.gpt_neox/aten::triu/Unsqueeze" type="Unsqueeze" version="opset1">
+			<input>
+				<port id="0" precision="I32">
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32" />
+			</input>
+			<output>
+				<port id="2" precision="I32">
+					<dim>1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="148" name="__module.model.gpt_neox/aten::triu/Convert" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="297559272" size="4" />
+			<output>
+				<port id="0" precision="I32" />
 			</output>
 		</layer>
-		<layer id="174" name="ShapeOf_337985" type="ShapeOf" version="opset3">
+		<layer id="149" name="ShapeOf_38169" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="I32">
 					<dim>-1</dim>
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 					<dim>-1</dim>
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 			</input>
 			<output>
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+					<dim>2</dim>
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 		</layer>
-		<layer id="175" name="Constant_337986" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="297886954" size="8" />
+		<layer id="150" name="Constant_38170" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="297559106" size="8" />
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@@ -2560,7 +2190,7 @@
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="176" name="Constant_337987" type="Const" version="opset1">
+		<layer id="151" name="Constant_38171" type="Const" version="opset1">
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@@ -2569,99 +2199,92 @@
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="177" name="Gather_337988" type="Gather" version="opset8">
+		<layer id="152" name="Gather_38172" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>2</dim>
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 			</input>
 			<output>
-				<port id="3" precision="I64" names="405" />
+				<port id="3" precision="I64" names="300,307" />
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 		</layer>
-		<layer id="178" name="__module.model.gpt_neox.layers.0.attention/aten::sub/Subtract" type="Subtract" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="153" name="Convert_38186" type="Convert" version="opset1">
+			<data destination_type="i32" />
 			<input>
 				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="I64" names="409,410" />
+				<port id="1" precision="I32" />
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 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="154" name="__module.model.gpt_neox/aten::triu/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="I32" />
+				<port id="1" precision="I32" />
+			</input>
 			<output>
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-					<dim>1</dim>
-				</port>
+				<port id="2" precision="I32" />
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 		</layer>
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-			<data special_zero="false" />
+		<layer id="155" name="__module.model.gpt_neox/aten::triu/Range_1" type="Range" version="opset4">
+			<data output_type="i32" />
 			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
+				<port id="0" precision="I32" />
+				<port id="1" precision="I32" />
+				<port id="2" precision="I32" />
 			</input>
 			<output>
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+				<port id="3" precision="I32">
+					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="181" name="Constant_294628" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
+		<layer id="156" name="__module.model.gpt_neox/aten::triu/Unsqueeze_1" type="Unsqueeze" version="opset1">
+			<input>
 				<port id="0" precision="I32">
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32" />
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+			<output>
+				<port id="2" precision="I32">
+					<dim>-1</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="182" name="ScatterUpdate_294631" type="ScatterUpdate" version="opset3">
+		<layer id="157" name="__module.model.gpt_neox/aten::triu/GreaterEqual" type="GreaterEqual" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
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-				<port id="1" precision="I64">
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-				<port id="2" precision="I64">
+				<port id="0" precision="I32">
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+					<dim>-1</dim>
 				</port>
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+				<port id="1" precision="I32">
+					<dim>-1</dim>
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 				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64">
-					<dim>3</dim>
+				<port id="2" precision="BOOL">
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="183" name="Constant_294632" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="158" name="__module.model.gpt_neox/aten::full/Convert" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="297559276" size="4" />
 			<output>
-				<port id="0" precision="I64">
-					<dim>3</dim>
-				</port>
+				<port id="0" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="184" name="Constant_337590" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886946" size="8" />
+		<layer id="159" name="Constant_38173" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
 			<rt_info>
 				<attribute name="precise" version="0" />
 			</rt_info>
@@ -2671,7 +2294,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="185" name="__module.model.gpt_neox.layers.0.attention/aten::slice/Unsqueeze_45" type="Reshape" version="opset1">
+		<layer id="160" name="Reshape_38174" type="Reshape" version="opset1">
 			<data special_zero="false" />
 			<input>
 				<port id="0" precision="I64" />
@@ -2685,177 +2308,69 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="186" name="ScatterUpdate_294633" type="ScatterUpdate" version="opset3">
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-		<layer id="187" name="Constant_294636" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="302409012" size="24" />
+		<layer id="161" name="Constant_38179" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
 			<rt_info>
 				<attribute name="precise" version="0" />
 			</rt_info>
 			<output>
 				<port id="0" precision="I64">
-					<dim>3</dim>
+					<dim>1</dim>
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 		</layer>
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-			<data begin_mask="1, 1, 0" end_mask="1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="162" name="Reshape_38180" type="Reshape" version="opset1">
+			<data special_zero="false" />
 			<input>
-				<port id="0" precision="BOOL">
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-					<dim>2048</dim>
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+				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
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-				<port id="2" precision="I64">
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-				<port id="3" precision="I64">
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-			<rt_info>
-				<attribute name="precise" version="0" />
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+			</input>
 			<output>
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+				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="193" name="ScatterUpdate_294711" type="ScatterUpdate" version="opset3">
+		<layer id="163" name="__module.model.gpt_neox/prim::ListConstruct" type="Concat" version="opset1">
+			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
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-				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
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 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
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-				<attribute name="precise" version="0" />
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-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="I64">
+					<dim>2</dim>
 				</port>
 			</output>
 		</layer>
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-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="164" name="__module.model.gpt_neox/aten::full/Broadcast" type="Broadcast" version="opset3">
+			<data mode="numpy" />
 			<input>
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-					<dim>2048</dim>
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+				<port id="0" precision="FP32" />
 				<port id="1" precision="I64">
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-					<dim>4</dim>
-				</port>
-				<port id="3" precision="I64">
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 				</port>
 			</input>
 			<output>
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-					<dim>1</dim>
+				<port id="2" precision="FP32" names="311">
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 					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="196" name="__module.model.gpt_neox.layers.0.attention/aten::where/Convert_1_compressed" type="Const" version="opset1">
+		<layer id="165" name="__module.model.gpt_neox/aten::triu/ConvertLike_compressed" type="Const" version="opset1">
 			<data element_type="f16" shape="" offset="0" size="2" />
 			<output>
 				<port id="0" precision="FP16" />
 			</output>
 		</layer>
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+		<layer id="166" name="__module.model.gpt_neox/aten::triu/ConvertLike" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -2867,174 +2382,162 @@
 				<port id="1" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="198" name="__module.model.gpt_neox.layers.0.attention/aten::full/Convert" type="Const" version="opset1">
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-		</layer>
-		<layer id="199" name="__module.model.gpt_neox.layers.0.attention/aten::where/Select" type="Select" version="opset1">
+		<layer id="167" name="__module.model.gpt_neox/aten::triu/Select" type="Select" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="BOOL">
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 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
-				<port id="1" precision="FP32" />
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+					<dim>-1</dim>
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 				<port id="2" precision="FP32" />
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 			<output>
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-					<dim>1</dim>
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 					<dim>-1</dim>
 					<dim>-1</dim>
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 			</output>
 		</layer>
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-			<data element_type="f16" shape="1, 1, 1, 1" offset="302409040" size="2" />
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+			<data element_type="i32" shape="" offset="258211866" size="4" />
 			<output>
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-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="I32" />
+			</output>
+		</layer>
+		<layer id="169" name="__module.model.gpt_neox/aten::arange/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="297559272" size="4" />
+			<output>
+				<port id="0" precision="I32" />
+			</output>
+		</layer>
+		<layer id="170" name="__module.model.gpt_neox/aten::arange/Range" type="Range" version="opset4">
+			<data output_type="f32" />
+			<input>
+				<port id="0" precision="I32" />
+				<port id="1" precision="I64" />
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+				<port id="3" precision="FP32">
+					<dim>-1</dim>
+				</port>
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+		<layer id="171" name="__module.model.gpt_neox/aten::arange/ConvertLike" type="Convert" version="opset1">
+			<data destination_type="i64" />
+			<input>
+				<port id="0" precision="FP32">
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+				<port id="1" precision="I64" names="313">
+					<dim>-1</dim>
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 			</output>
 		</layer>
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 			<output>
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+				<port id="3" precision="I64" names="302" />
 			</output>
 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="177" name="__module.model.gpt_neox/aten::add/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="I64" />
+				<port id="1" precision="I64" />
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+				<port id="2" precision="I64" names="304" />
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 		</layer>
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-				<port id="1" precision="I64">
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-			</input>
+		<layer id="178" name="__module.model.gpt_neox/aten::arange/Constant_2" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="297559272" size="4" />
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+				<port id="0" precision="I32" />
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 		</layer>
-		<layer id="208" name="__module.model.gpt_neox/aten::view/Reshape" type="Reshape" version="opset1">
-			<data special_zero="false" />
+		<layer id="179" name="__module.model.gpt_neox/aten::arange/Range_1" type="Range" version="opset4">
+			<data output_type="f32" />
 			<input>
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-					<dim>-1</dim>
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+				<port id="0" precision="I64" />
+				<port id="1" precision="I64" />
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+				<port id="3" precision="FP32" names="306,cache_position">
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 		</layer>
-		<layer id="209" name="Constant_337592" type="Const" version="opset1">
-			<data element_type="i64" shape="2" offset="302409050" size="16" />
+		<layer id="180" name="Constant_279" type="Const" version="opset1">
+			<data element_type="i64" shape="2" offset="297559288" size="16" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I64" names="314">
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 			</output>
 		</layer>
-		<layer id="210" name="__module.model.gpt_neox/aten::unsqueeze/Unsqueeze_1" type="Unsqueeze" version="opset1">
+		<layer id="181" name="__module.model.gpt_neox/aten::reshape/Reshape" type="Reshape" version="opset1">
+			<data special_zero="false" />
 			<input>
-				<port id="0" precision="I64">
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+				<port id="0" precision="FP32">
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@@ -3042,194 +2545,105 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64" names="300,301,attention_mask.5">
+				<port id="2" precision="FP32" names="315">
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 		</layer>
-		<layer id="211" name="__module.model.gpt_neox/aten::to/Convert" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="182" name="__module.model.gpt_neox/aten::gt/Greater" type="Greater" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="I64">
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
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-					<dim>1</dim>
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+				<port id="1" precision="FP32">
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+					<dim>1</dim>
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 			</input>
 			<output>
-				<port id="1" precision="FP32" names="302">
+				<port id="2" precision="BOOL" names="316">
 					<dim>-1</dim>
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-		<layer id="212" name="Constant_325193_compressed" type="Const" version="opset1">
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-				</port>
-			</output>
-		</layer>
-		<layer id="213" name="Constant_325193" type="Convert" version="opset1">
+		<layer id="183" name="__module.model.gpt_neox/aten::mul_/ConvertLike" type="Convert" version="opset1">
 			<data destination_type="f32" />
-			<rt_info>
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-		<layer id="214" name="__module.model.gpt_neox/aten::rsub/Multiply" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="BOOL">
 					<dim>-1</dim>
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-					<dim>1</dim>
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 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="1" precision="FP32">
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 				</port>
 			</output>
 		</layer>
-		<layer id="215" name="__module.model.gpt_neox/aten::rsub/Subtract" type="Subtract" version="opset1">
+		<layer id="184" name="__module.model.gpt_neox/aten::mul_/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
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-					<dim>1</dim>
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+					<dim>-1</dim>
+					<dim>-1</dim>
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 				<port id="1" precision="FP32">
 					<dim>-1</dim>
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="303">
+				<port id="2" precision="FP32" names="312,causal_mask.1">
 					<dim>-1</dim>
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 					<dim>-1</dim>
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 			</output>
 		</layer>
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-			<data element_type="f32" shape="1, 1, 1, 1" offset="302409036" size="4" />
+		<layer id="185" name="208" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="2" size="8" />
 			<output>
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-					<dim>1</dim>
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+				<port id="0" precision="I64" names="208" />
 			</output>
 		</layer>
-		<layer id="217" name="__module.model.gpt_neox/aten::mul/Multiply" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="186" name="__module.model.gpt_neox/aten::unsqueeze/Unsqueeze" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
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-					<dim>1</dim>
-					<dim>1</dim>
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+				<port id="1" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="304,attention_mask">
-					<dim>-1</dim>
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="318">
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 					<dim>-1</dim>
+					<dim>-1</dim>
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 			</output>
 		</layer>
-		<layer id="218" name="Add_314988" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="187" name="__module.model.gpt_neox/aten::unsqueeze/Unsqueeze_1" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
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 					<dim>-1</dim>
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-					<dim>1</dim>
 					<dim>-1</dim>
 				</port>
+				<port id="1" precision="I64" />
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 			<output>
-				<port id="2" precision="FP32">
-					<dim>-1</dim>
+				<port id="2" precision="FP32" names="319,320,321">
 					<dim>1</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
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-		<layer id="219" name="ShapeOf_314989" type="ShapeOf" version="opset3">
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-			<input>
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 					<dim>1</dim>
 					<dim>-1</dim>
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-				</port>
 			</output>
 		</layer>
-		<layer id="220" name="Constant_337996" type="Const" version="opset1">
+		<layer id="188" name="Constant_38196" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="2" size="8" />
 			<rt_info>
 				<attribute name="precise" version="0" />
@@ -3240,7 +2654,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="221" name="Constant_337997" type="Const" version="opset1">
+		<layer id="189" name="Constant_38197" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="2" size="8" />
 			<rt_info>
 				<attribute name="precise" version="0" />
@@ -3249,11 +2663,11 @@
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="222" name="Gather_337998" type="Gather" version="opset8">
+		<layer id="190" name="Gather_38198" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>2</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -3261,13 +2675,13 @@
 				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="400">
+				<port id="3" precision="I64" names="309">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="223" name="Constant_267961" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886946" size="8" />
+		<layer id="191" name="Constant_32534" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
 			<rt_info>
 				<attribute name="precise" version="0" />
 			</rt_info>
@@ -3277,8 +2691,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="224" name="Constant_267963" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886946" size="8" />
+		<layer id="192" name="Constant_32536" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
 			<rt_info>
 				<attribute name="precise" version="0" />
 			</rt_info>
@@ -3288,8 +2702,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="225" name="Constant_267965" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886946" size="8" />
+		<layer id="193" name="Constant_32538" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
 			<rt_info>
 				<attribute name="precise" version="0" />
 			</rt_info>
@@ -3299,7 +2713,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="226" name="__module.model.gpt_neox.layers.0.attention/prim::ListConstruct/Concat_1" type="Concat" version="opset1">
+		<layer id="194" name="__module.model.gpt_neox/prim::ListConstruct_1" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -3316,32 +2730,16 @@
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64" names="417">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="227" name="Maximum_314990" type="Maximum" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="I64">
+				<port id="4" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="228" name="__module.model.gpt_neox.layers.0.attention/aten::add/Add_2" type="Broadcast" version="opset3">
-			<data mode="numpy" />
+		<layer id="195" name="__module.model.gpt_neox/aten::expand/Broadcast" type="Broadcast" version="opset3">
+			<data mode="bidirectional" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>-1</dim>
+					<dim>1</dim>
 					<dim>1</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
@@ -3351,7 +2749,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="419">
+				<port id="2" precision="FP32" names="323,326,327,328,336,337,338,341_1,342_1,343_1,causal_mask.5">
 					<dim>-1</dim>
 					<dim>1</dim>
 					<dim>-1</dim>
@@ -3359,28 +2757,46 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="229" name="__module.model.gpt_neox.layers.0.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
-			<data causal="false" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
+		<layer id="196" name="Constant_26933" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559304" size="8" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
-				<port id="1" precision="FP32">
+			</output>
+		</layer>
+		<layer id="197" name="SliceAssign_493/Reshape_3" type="Reshape" version="opset1">
+			<data special_zero="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
 				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
 				<port id="2" precision="FP32">
 					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
 				</port>
-				<port id="3" precision="FP32">
+			</output>
+		</layer>
+		<layer id="198" name="Constant_21430" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="2" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="199" name="SliceAssign_493/ShapeOf" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>1</dim>
 					<dim>-1</dim>
@@ -3388,288 +2804,280 @@
 				</port>
 			</input>
 			<output>
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-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
+				<port id="1" precision="I64">
+					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="230" name="Constant_691" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559202" size="32" />
-			<output>
-				<port id="0" precision="I64" names="422">
+		<layer id="200" name="SliceAssign_493/ReduceProd" type="ReduceProd" version="opset1">
+			<data keep_dims="false" />
+			<input>
+				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
+				<port id="1" precision="I64" />
+			</input>
+			<output>
+				<port id="2" precision="I64" />
 			</output>
 		</layer>
-		<layer id="231" name="__module.model.gpt_neox.layers.0.attention/aten::permute/Transpose_3" type="Transpose" version="opset1">
+		<layer id="201" name="Constant_21431" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="297559106" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="202" name="SliceAssign_493/Range" type="Range" version="opset4">
+			<data output_type="i64" />
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="I64" />
+				<port id="1" precision="I64" />
+				<port id="2" precision="I64" />
+			</input>
+			<output>
+				<port id="3" precision="I64">
 					<dim>-1</dim>
-					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="203" name="SliceAssign_493/Reshape" type="Reshape" version="opset1">
+			<data special_zero="false" />
+			<input>
+				<port id="0" precision="I64">
 					<dim>-1</dim>
-					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>4</dim>
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+		<layer id="237" name="__module.model.gpt_neox.layers.0.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
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+		<layer id="241" name="__module.model.gpt_neox.layers.0.attention/aten::view/Reshape_1" type="Reshape" version="opset1">
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+		</layer>
+		<layer id="242" name="self.model.gpt_neox.layers.0.attention.dense.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="2560, 2560" offset="297559352" size="13107200" />
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+		<layer id="243" name="self.model.gpt_neox.layers.0.attention.dense.weight" type="Convert" version="opset1">
+			<data destination_type="f32" />
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+				<attribute name="decompression" version="0" />
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+				<port id="0" precision="FP16">
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 		</layer>
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-			<data auto_broadcast="numpy" />
+		<layer id="244" name="__module.model.gpt_neox.layers.0.attention.dense/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
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 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -4017,8 +3524,7 @@
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 				</port>
 				<port id="1" precision="FP32">
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-					<dim>1</dim>
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@@ -4030,8 +3536,8 @@
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-			<data element_type="f16" shape="1, 1, 2560" offset="420419970" size="5120" />
+		<layer id="245" name="Constant_36908_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 2560" offset="310666552" size="5120" />
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 				<port id="0" precision="FP16">
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@@ -4040,7 +3546,7 @@
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 		</layer>
-		<layer id="269" name="Constant_325202" type="Convert" version="opset1">
+		<layer id="246" name="Constant_36908" type="Convert" version="opset1">
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@@ -4060,7 +3566,7 @@
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-		<layer id="270" name="__module.model.gpt_neox.layers.1.input_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="247" name="__module.model.gpt_neox.layers.0.attention.dense/ov_ext::linear/Add" type="Add" version="opset1">
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@@ -4075,42 +3581,95 @@
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 			</input>
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-				<port id="2" precision="FP32" names="464">
+				<port id="2" precision="FP32" names="463,465,input.1">
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+					<dim>2560</dim>
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+		<layer id="248" name="__module.model.gpt_neox.layers.0/aten::add/Add" type="Add" version="opset1">
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+				<port id="2" precision="FP32" names="469,attn_output.7">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
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+		<layer id="249" name="__module.model.gpt_neox.layers.0.post_attention_layernorm/aten::layer_norm/Multiply" type="Const" version="opset1">
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+				<port id="0" precision="I32">
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+		</layer>
+		<layer id="250" name="__module.model.gpt_neox.layers.0.post_attention_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
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+		<layer id="251" name="Constant_36909_compressed" type="Const" version="opset1">
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 		</layer>
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+		<layer id="252" name="Constant_36909" type="Convert" version="opset1">
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 					<dim>2560</dim>
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 			</output>
 		</layer>
-		<layer id="273" name="__module.model.gpt_neox.layers.1.attention.query_key_value/aten::linear/MatMul" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="true" />
+		<layer id="253" name="__module.model.gpt_neox.layers.0.post_attention_layernorm/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
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 					<dim>-1</dim>
@@ -4118,7 +3677,8 @@
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 				</port>
 				<port id="1" precision="FP32">
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@@ -4126,21 +3686,21 @@
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 					<dim>-1</dim>
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 		</layer>
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-			<data element_type="f16" shape="1, 1, 7680" offset="459746690" size="15360" />
+		<layer id="254" name="Constant_36910_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 2560" offset="310676792" size="5120" />
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 		</layer>
-		<layer id="275" name="Constant_325203" type="Convert" version="opset1">
+		<layer id="255" name="Constant_36910" type="Convert" version="opset1">
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@@ -4149,608 +3709,557 @@
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 					<dim>1</dim>
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 		</layer>
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+		<layer id="256" name="__module.model.gpt_neox.layers.0.post_attention_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
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 		</layer>
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-			<data element_type="i64" shape="4" offset="297559074" size="32" />
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+		<layer id="258" name="__module.model.gpt_neox.layers.0.mlp.dense_h_to_4h/ov_ext::linear/ConvertLike" type="Convert" version="opset1">
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 			<rt_info>
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+				<attribute name="decompression" version="0" />
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+		<layer id="289" name="Constant_1349" type="Const" version="opset1">
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@@ -4761,77 +4270,41 @@
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 		</layer>
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+		<layer id="291" name="Constant_1358" type="Const" version="opset1">
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 		</layer>
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 					<dim>-1</dim>
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+				<port id="2" precision="FP32" names="510,query.3">
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 					<dim>32</dim>
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@@ -4839,30 +4312,31 @@
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+		<layer id="294" name="Constant_1401" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="18" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="325" name="__module.model.gpt_neox.layers.1.attention/aten::size/ShapeOf_5" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="295" name="Constant_1403" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="296" name="__module.model.gpt_neox.layers.1.attention/aten::slice/Slice_1" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -4870,134 +4344,78 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-			</input>
-			<output>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="326" name="__module.model.gpt_neox.layers.1.attention/aten::size/Constant_5" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="258211866" size="4" />
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-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I32" />
-			</output>
-		</layer>
-		<layer id="327" name="__module.model.gpt_neox.layers.1.attention/aten::size/Gather_5" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
-				<port id="1" precision="I64" />
-				<port id="2" precision="I32" />
-			</input>
-			<output>
-				<port id="3" precision="I64" names="510,515" />
-			</output>
-		</layer>
-		<layer id="328" name="__module.model.gpt_neox.layers.1.attention/aten::floor_divide/Divide_1" type="Divide" version="opset1">
-			<data auto_broadcast="numpy" m_pythondiv="true" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
-			</input>
-			<output>
-				<port id="2" precision="I64" />
-			</output>
-		</layer>
-		<layer id="329" name="__module.model.gpt_neox.layers.1.attention/aten::floor_divide/Floor_1" type="Floor" version="opset1">
-			<input>
-				<port id="0" precision="I64" />
 			</input>
 			<output>
-				<port id="1" precision="I64" names="512,513,517,518" />
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-		</layer>
-		<layer id="330" name="Constant_337596" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886946" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
+				<port id="5" precision="FP32" names="517,q.3">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="331" name="__module.model.gpt_neox.layers.1.attention/aten::slice/Unsqueeze_17" type="Reshape" version="opset1">
-			<data special_zero="false" />
+		<layer id="297" name="__module.model.gpt_neox.layers.1.attention/aten::mul/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
 					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64">
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="523">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="332" name="Constant_294767" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="258211866" size="4" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="298" name="Constant_1557" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559246" size="8" />
 			<output>
-				<port id="0" precision="I32">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="333" name="ScatterUpdate_294770" type="ScatterUpdate" version="opset3">
-			<input>
 				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>1</dim>
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-				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
-					<dim>1</dim>
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-			</input>
-			<output>
-				<port id="4" precision="I64">
-					<dim>4</dim>
-				</port>
 			</output>
 		</layer>
-		<layer id="334" name="Constant_294773" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297886970" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="299" name="Constant_1559" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559254" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="335" name="Constant_294776" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559170" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="300" name="Constant_1561" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="336" name="__module.model.gpt_neox.layers.1.attention/aten::slice/Slice_3" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="301" name="__module.model.gpt_neox.layers.1.attention/aten::slice/Slice_2" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -5006,17 +4424,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="519,x2.5">
+				<port id="5" precision="FP32" names="533,x2.5">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -5024,8 +4445,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="337" name="Constant_325204_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 1, 1" offset="297887002" size="2" />
+		<layer id="302" name="Constant_36914_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 1, 1" offset="297559262" size="2" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -5035,7 +4456,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="338" name="Constant_325204" type="Convert" version="opset1">
+		<layer id="303" name="Constant_36914" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -5057,7 +4478,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="339" name="__module.model.gpt_neox.layers.1.attention/aten::neg/Multiply" type="Multiply" version="opset1">
+		<layer id="304" name="__module.model.gpt_neox.layers.1.attention/aten::neg/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -5074,7 +4495,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="520">
+				<port id="2" precision="FP32" names="534">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -5082,30 +4503,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="340" name="Constant_294821" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559106" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="305" name="Constant_1454" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="341" name="Constant_294826" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559170" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="306" name="Constant_1498" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559246" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="307" name="Constant_1500" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="342" name="__module.model.gpt_neox.layers.1.attention/aten::slice/Slice_4" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="308" name="__module.model.gpt_neox.layers.1.attention/aten::slice/Slice_3" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -5114,17 +4536,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="514">
+				<port id="5" precision="FP32" names="528">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -5132,7 +4557,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="343" name="__module.model.gpt_neox.layers.1.attention/aten::cat/Concat" type="Concat" version="opset1">
+		<layer id="309" name="__module.model.gpt_neox.layers.1.attention/aten::cat/Concat" type="Concat" version="opset1">
 			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
@@ -5149,7 +4574,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="522">
+				<port id="2" precision="FP32" names="536">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -5157,61 +4582,103 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="344" name="self.model.gpt_neox.layers.1.attention.rotary_emb.sin_cached_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="2048, 80" offset="297887004" size="327680" />
+		<layer id="310" name="__module.model.gpt_neox.layers.1.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.1.attention.rotary_emb.sin_cached">
-					<dim>2048</dim>
+				<port id="2" precision="FP32" names="537">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="345" name="self.model.gpt_neox.layers.1.attention.rotary_emb.sin_cached" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
+		<layer id="311" name="__module.model.gpt_neox.layers.1.attention/aten::add/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="FP16">
-					<dim>2048</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
-					<dim>2048</dim>
+				<port id="2" precision="FP32" names="538,556">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="346" name="__module.model.gpt_neox.layers.1.attention.rotary_emb/aten::slice/Unsqueeze_4" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="2" size="8" />
+		<layer id="312" name="Constant_52126_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="" offset="0" size="2" />
+			<output>
+				<port id="0" precision="FP16" />
+			</output>
+		</layer>
+		<layer id="313" name="Constant_52126" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="precise" version="0" />
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16" />
+			</input>
+			<output>
+				<port id="1" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="314" name="Constant_52119" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="10" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="347" name="__module.model.gpt_neox.layers.1.attention.rotary_emb/aten::slice/Unsqueeze_6" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886946" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="315" name="Constant_52121" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="316" name="Constant_52123" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="18" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="348" name="__module.model.gpt_neox.layers.1.attention.rotary_emb/aten::slice/Slice_1" type="StridedSlice" version="opset1">
-			<data begin_mask="0" end_mask="0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="317" name="Concat_52124" type="Concat" version="opset1">
+			<data axis="0" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>2048</dim>
-					<dim>80</dim>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -5224,59 +4691,55 @@
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="499,502,sin.5">
-					<dim>-1</dim>
-					<dim>80</dim>
+				<port id="4" precision="I64">
+					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="349" name="Constant_38236" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="258211866" size="4" />
-			<output>
-				<port id="0" precision="I32" />
-			</output>
-		</layer>
-		<layer id="350" name="__module.model.gpt_neox.layers.1.attention/aten::index/Gather_1" type="Gather" version="opset8">
-			<data batch_dims="0" />
+		<layer id="318" name="Broadcast_52127" type="Broadcast" version="opset3">
+			<data mode="numpy" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-				<port id="1" precision="I32">
-					<dim>-1</dim>
-					<dim>-1</dim>
+				<port id="0" precision="FP32" />
+				<port id="1" precision="I64">
+					<dim>4</dim>
 				</port>
-				<port id="2" precision="I32" />
 			</input>
 			<output>
-				<port id="3" precision="FP32" names="507">
-					<dim>-1</dim>
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>0</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="351" name="__module.model.gpt_neox.layers.1.attention/aten::unsqueeze/Unsqueeze_1" type="Unsqueeze" version="opset1">
+		<layer id="319" name="ReadValue_49738" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.1.keypresent.1.key" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
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+					<dim>32</dim>
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 			<output>
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+				<port id="1" precision="FP32" names="past_key_values.1.key">
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 					<dim>80</dim>
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 			</output>
 		</layer>
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-			<data auto_broadcast="numpy" />
+		<layer id="320" name="Constant_47335" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="2" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="321" name="Gather_47336" type="Gather" version="opset8">
+			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -5284,15 +4747,13 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>1</dim>
+				<port id="1" precision="I32">
 					<dim>-1</dim>
-					<dim>80</dim>
 				</port>
+				<port id="2" precision="I64" />
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 			<output>
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+				<port id="3" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -5300,40 +4761,69 @@
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 			</output>
 		</layer>
-		<layer id="353" name="__module.model.gpt_neox.layers.1.attention/aten::add/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="322" name="Constant_1363" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="18" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="323" name="Constant_1365" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559264" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="324" name="Constant_1367" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="325" name="__module.model.gpt_neox.layers.1.attention/aten::slice/Slice_5" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
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-					<dim>-1</dim>
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 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>240</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
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+				<port id="2" precision="I64">
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+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
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+				<port id="4" precision="I64">
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="524,542,552,query.11,query.9">
+				<port id="5" precision="FP32" names="511">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="354" name="Constant_817" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559202" size="32" />
+		<layer id="326" name="Constant_1376" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="297559122" size="32" />
 			<output>
-				<port id="0" precision="I64" names="480">
+				<port id="0" precision="I64" names="512">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="355" name="__module.model.gpt_neox.layers.1.attention/aten::permute/Transpose_1" type="Transpose" version="opset1">
+		<layer id="327" name="__module.model.gpt_neox.layers.1.attention/aten::permute/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -5346,7 +4836,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="481,key.7">
+				<port id="2" precision="FP32" names="513,key.5">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -5354,41 +4844,31 @@
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 			</output>
 		</layer>
-		<layer id="356" name="Constant_294872" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559106" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="328" name="Constant_1419" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="357" name="Constant_294875" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559138" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="329" name="Constant_1421" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="18" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="358" name="Constant_294878" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559170" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="330" name="Constant_1423" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="359" name="__module.model.gpt_neox.layers.1.attention/aten::slice/Slice_6" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="331" name="__module.model.gpt_neox.layers.1.attention/aten::slice/Slice_6" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -5397,17 +4877,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="487,k.3">
+				<port id="5" precision="FP32" names="519,k.3">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -5415,7 +4898,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="360" name="__module.model.gpt_neox.layers.1.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
+		<layer id="332" name="__module.model.gpt_neox.layers.1.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -5432,7 +4915,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="525">
+				<port id="2" precision="FP32" names="539">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -5440,30 +4923,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="361" name="Constant_294882" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559106" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="333" name="Constant_1700" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559246" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="362" name="Constant_294881" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886962" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="334" name="Constant_1702" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559254" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="363" name="__module.model.gpt_neox.layers.1.attention/aten::size/ShapeOf_7" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="335" name="Constant_1704" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="336" name="__module.model.gpt_neox.layers.1.attention/aten::slice/Slice_7" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -5471,162 +4955,30 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="5" precision="FP32" names="549,x2.7">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="364" name="__module.model.gpt_neox.layers.1.attention/aten::size/Constant_7" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="258211866" size="4" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I32" />
-			</output>
-		</layer>
-		<layer id="365" name="__module.model.gpt_neox.layers.1.attention/aten::size/Gather_7" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
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-				<port id="1" precision="I64" />
-				<port id="2" precision="I32" />
-			</input>
-			<output>
-				<port id="3" precision="I64" names="526,531" />
-			</output>
-		</layer>
-		<layer id="366" name="__module.model.gpt_neox.layers.1.attention/aten::floor_divide/Divide_3" type="Divide" version="opset1">
-			<data auto_broadcast="numpy" m_pythondiv="true" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
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-			<output>
-				<port id="2" precision="I64" />
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-		</layer>
-		<layer id="367" name="__module.model.gpt_neox.layers.1.attention/aten::floor_divide/Floor_3" type="Floor" version="opset1">
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-				<port id="0" precision="I64" />
-			</input>
-			<output>
-				<port id="1" precision="I64" names="528,529,533,534" />
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-		</layer>
-		<layer id="368" name="Constant_337598" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886946" size="8" />
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-				<port id="0" precision="I64">
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-		<layer id="369" name="__module.model.gpt_neox.layers.1.attention/aten::slice/Unsqueeze_33" type="Reshape" version="opset1">
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-		<layer id="370" name="Constant_294880" type="Const" version="opset1">
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-		<layer id="371" name="ScatterUpdate_294883" type="ScatterUpdate" version="opset3">
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-				<port id="0" precision="I64">
-					<dim>4</dim>
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-				<port id="1" precision="I64">
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-				<port id="3" precision="I32">
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-			<output>
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-					<dim>4</dim>
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-		<layer id="372" name="Constant_294886" type="Const" version="opset1">
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-		<layer id="374" name="__module.model.gpt_neox.layers.1.attention/aten::slice/Slice_7" type="StridedSlice" version="opset1">
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-				<port id="0" precision="FP32">
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-					<dim>-1</dim>
-					<dim>80</dim>
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-				<port id="2" precision="I64">
-					<dim>4</dim>
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-				<port id="3" precision="I64">
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-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>40</dim>
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-		<layer id="375" name="Constant_325205_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 1, 1" offset="297887002" size="2" />
+		<layer id="337" name="Constant_36915_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 1, 1" offset="297559262" size="2" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -5636,7 +4988,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="376" name="Constant_325205" type="Convert" version="opset1">
+		<layer id="338" name="Constant_36915" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -5658,7 +5010,7 @@
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 			</output>
 		</layer>
-		<layer id="377" name="__module.model.gpt_neox.layers.1.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
+		<layer id="339" name="__module.model.gpt_neox.layers.1.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -5675,7 +5027,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="536">
+				<port id="2" precision="FP32" names="550">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -5683,30 +5035,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="378" name="Constant_294934" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="340" name="Constant_1597" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="379" name="Constant_294939" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="341" name="Constant_1641" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559246" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="342" name="Constant_1643" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="380" name="__module.model.gpt_neox.layers.1.attention/aten::slice/Slice_8" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="343" name="__module.model.gpt_neox.layers.1.attention/aten::slice/Slice_8" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -5715,17 +5068,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
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+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="530">
+				<port id="5" precision="FP32" names="544">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -5733,7 +5089,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="381" name="__module.model.gpt_neox.layers.1.attention/aten::cat/Concat_2" type="Concat" version="opset1">
+		<layer id="344" name="__module.model.gpt_neox.layers.1.attention/aten::cat/Concat_2" type="Concat" version="opset1">
 			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
@@ -5750,7 +5106,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="538">
+				<port id="2" precision="FP32" names="552">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -5758,7 +5114,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="382" name="__module.model.gpt_neox.layers.1.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
+		<layer id="345" name="__module.model.gpt_neox.layers.1.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -5775,7 +5131,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="539">
+				<port id="2" precision="FP32" names="553">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -5783,7 +5139,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="383" name="__module.model.gpt_neox.layers.1.attention/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="346" name="__module.model.gpt_neox.layers.1.attention/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -5800,7 +5156,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="540,544">
+				<port id="2" precision="FP32" names="554,558">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -5808,7 +5164,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="384" name="__module.model.gpt_neox.layers.1.attention/aten::to/Convert_1" type="Concat" version="opset1">
+		<layer id="347" name="__module.model.gpt_neox.layers.1.attention/aten::cat/Concat_4" type="Concat" version="opset1">
 			<data axis="-2" />
 			<input>
 				<port id="0" precision="FP32">
@@ -5833,13 +5189,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="385" name="Constant_432677_compressed" type="Const" version="opset1">
+		<layer id="348" name="Constant_52138_compressed" type="Const" version="opset1">
 			<data element_type="f16" shape="" offset="0" size="2" />
 			<output>
 				<port id="0" precision="FP16" />
 			</output>
 		</layer>
-		<layer id="386" name="Constant_432677" type="Convert" version="opset1">
+		<layer id="349" name="Constant_52138" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -5851,7 +5207,7 @@
 				<port id="1" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="387" name="Constant_432670" type="Const" version="opset1">
+		<layer id="350" name="Constant_52131" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="10" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -5859,7 +5215,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="388" name="Constant_432672" type="Const" version="opset1">
+		<layer id="351" name="Constant_52133" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -5867,7 +5223,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="389" name="Constant_432674" type="Const" version="opset1">
+		<layer id="352" name="Constant_52135" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="18" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -5875,7 +5231,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="390" name="Concat_432675" type="Concat" version="opset1">
+		<layer id="353" name="Concat_52136" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -5897,7 +5253,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="391" name="Broadcast_432678" type="Broadcast" version="opset3">
+		<layer id="354" name="Broadcast_52139" type="Broadcast" version="opset3">
 			<data mode="numpy" />
 			<input>
 				<port id="0" precision="FP32" />
@@ -5914,7 +5270,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="392" name="ReadValue_417288" type="ReadValue" version="opset6">
+		<layer id="355" name="ReadValue_49740" type="ReadValue" version="opset6">
 			<data variable_id="past_key_values.1.valuepresent.1.value" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
@@ -5933,13 +5289,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="393" name="Constant_401899" type="Const" version="opset1">
+		<layer id="356" name="Constant_47338" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="394" name="Gather_401900" type="Gather" version="opset8">
+		<layer id="357" name="Gather_47339" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
@@ -5962,41 +5318,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="395" name="Constant_294984" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297886914" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="358" name="Constant_1381" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559264" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="396" name="Constant_294987" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297886970" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="359" name="Constant_1383" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559254" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="397" name="Constant_294990" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559170" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="360" name="Constant_1385" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="398" name="__module.model.gpt_neox.layers.1.attention/aten::slice/Slice_10" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="361" name="__module.model.gpt_neox.layers.1.attention/aten::slice/Slice_10" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -6005,17 +5351,20 @@
 					<dim>240</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="482">
+				<port id="5" precision="FP32" names="514">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
@@ -6023,15 +5372,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="399" name="Constant_831" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559202" size="32" />
+		<layer id="362" name="Constant_1394" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="297559122" size="32" />
 			<output>
-				<port id="0" precision="I64" names="483">
+				<port id="0" precision="I64" names="515">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="400" name="__module.model.gpt_neox.layers.1.attention/aten::permute/Transpose_2" type="Transpose" version="opset1">
+		<layer id="363" name="__module.model.gpt_neox.layers.1.attention/aten::permute/Transpose_2" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -6044,7 +5393,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="484">
+				<port id="2" precision="FP32" names="516">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -6052,7 +5401,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="401" name="__module.model.gpt_neox.layers.1.attention/aten::cat/Concat_5" type="Concat" version="opset1">
+		<layer id="364" name="__module.model.gpt_neox.layers.1.attention/aten::cat/Concat_5" type="Concat" version="opset1">
 			<data axis="-2" />
 			<input>
 				<port id="0" precision="FP32">
@@ -6077,40 +5426,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="402" name="__module.model.gpt_neox.layers.1.attention/aten::slice/Slice_11" type="Const" version="opset1">
-			<data element_type="boolean" shape="1, 1, 2048, 2048" offset="298214684" size="4194304" />
-			<output>
-				<port id="0" precision="BOOL" names="561">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>2048</dim>
-					<dim>2048</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="403" name="Constant_294994" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="302408988" size="24" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I64">
-					<dim>3</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="404" name="Constant_294993" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886954" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="365" name="Constant_1776" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="405" name="ShapeOf_338010" type="ShapeOf" version="opset3">
+		<layer id="366" name="ShapeOf_38272" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -6126,48 +5450,38 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="406" name="Constant_338011" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="297886954" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="367" name="Constant_38273" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559280" size="8" />
 			<output>
-				<port id="0" precision="I64" />
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="407" name="Constant_338012" type="Const" version="opset1">
+		<layer id="368" name="Constant_38274" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="2" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="408" name="Gather_338013" type="Gather" version="opset8">
+		<layer id="369" name="Gather_38275" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
-				<port id="1" precision="I64" />
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
 				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" />
-			</output>
-		</layer>
-		<layer id="409" name="Add_338014" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
-			</input>
-			<output>
-				<port id="2" precision="I64" names="556" />
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="410" name="ShapeOf_338081" type="ShapeOf" version="opset3">
+		<layer id="370" name="ShapeOf_38276" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -6183,87 +5497,68 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="411" name="Constant_338082" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="297886954" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="371" name="Constant_38277" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559280" size="8" />
 			<output>
-				<port id="0" precision="I64" />
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="412" name="Constant_338083" type="Const" version="opset1">
+		<layer id="372" name="Constant_38278" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="2" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="413" name="Gather_338084" type="Gather" version="opset8">
+		<layer id="373" name="Gather_38279" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
-				<port id="1" precision="I64" />
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
 				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="554" />
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="414" name="__module.model.gpt_neox.layers.1.attention/aten::sub/Subtract" type="Subtract" version="opset1">
+		<layer id="374" name="Add_38280" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
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-			<output>
-				<port id="2" precision="I64" names="558,559" />
-			</output>
-		</layer>
-		<layer id="415" name="Constant_337600" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886946" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
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-			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="416" name="__module.model.gpt_neox.layers.1.attention/aten::slice/Unsqueeze_44" type="Reshape" version="opset1">
-			<data special_zero="false" />
-			<input>
-				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64">
+				<port id="2" precision="I64" names="563">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="417" name="Constant_294992" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="258211866" size="4" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="375" name="Constant_1779" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
 			<output>
-				<port id="0" precision="I32">
+				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="418" name="ScatterUpdate_294995" type="ScatterUpdate" version="opset3">
+		<layer id="376" name="__module.model.gpt_neox.layers.1.attention/aten::slice/Slice_14" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64">
-					<dim>3</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -6271,661 +5566,251 @@
 				<port id="2" precision="I64">
 					<dim>1</dim>
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@@ -6945,8 +5830,8 @@
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@@ -6955,7 +5840,7 @@
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 		</layer>
-		<layer id="462" name="Constant_325207" type="Convert" version="opset1">
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@@ -6975,7 +5860,7 @@
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+		<layer id="393" name="__module.model.gpt_neox.layers.1.post_attention_layernorm/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
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@@ -6997,8 +5882,8 @@
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-		<layer id="464" name="Constant_325208_compressed" type="Const" version="opset1">
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+		<layer id="394" name="Constant_36918_compressed" type="Const" version="opset1">
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@@ -7007,7 +5892,7 @@
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 		</layer>
-		<layer id="465" name="Constant_325208" type="Convert" version="opset1">
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@@ -7027,7 +5912,7 @@
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+		<layer id="396" name="__module.model.gpt_neox.layers.1.post_attention_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
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@@ -7042,15 +5927,15 @@
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-			<data element_type="f16" shape="10240, 2560" offset="472884610" size="52428800" />
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@@ -7058,7 +5943,7 @@
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 		</layer>
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+		<layer id="398" name="__module.model.gpt_neox.layers.1.mlp.dense_h_to_4h/ov_ext::linear/ConvertLike" type="Convert" version="opset1">
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@@ -7076,7 +5961,7 @@
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@@ -7097,37 +5982,31 @@
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 		</layer>
-		<layer id="471" name="Constant_325209" type="Convert" version="opset1">
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 					<dim>10240</dim>
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+		<layer id="402" name="__module.model.gpt_neox.layers.1.mlp.dense_h_to_4h/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
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@@ -7136,20 +6015,18 @@
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 				<port id="1" precision="FP32">
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+				<port id="2" precision="FP32" names="590">
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 		</layer>
-		<layer id="473" name="__module.model.gpt_neox.layers.1.mlp.act/aten::gelu/Gelu" type="Gelu" version="opset7">
+		<layer id="403" name="__module.model.gpt_neox.layers.1.mlp.act/aten::gelu/Gelu" type="Gelu" version="opset7">
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@@ -7159,15 +6036,15 @@
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-			<data element_type="f16" shape="2560, 10240" offset="525333890" size="52428800" />
+		<layer id="404" name="self.model.gpt_neox.layers.1.mlp.dense_4h_to_h.weight" type="Const" version="opset1">
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 				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.1.mlp.dense_4h_to_h.weight">
 					<dim>2560</dim>
@@ -7175,7 +6052,7 @@
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 		</layer>
-		<layer id="475" name="self.model.gpt_neox.layers.1.mlp.dense_4h_to_h.weight" type="Convert" version="opset1">
+		<layer id="405" name="__module.model.gpt_neox.layers.1.mlp.dense_4h_to_h/ov_ext::linear/ConvertLike" type="Convert" version="opset1">
 			<data destination_type="f32" />
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@@ -7193,7 +6070,7 @@
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 		</layer>
-		<layer id="476" name="__module.model.gpt_neox.layers.1.mlp.dense_4h_to_h/aten::linear/MatMul" type="MatMul" version="opset1">
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@@ -7214,37 +6091,31 @@
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 		</layer>
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-			<data element_type="f16" shape="1, 1, 2560" offset="577762690" size="5120" />
+		<layer id="407" name="self.model.gpt_neox.layers.1.mlp.dense_4h_to_h.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="2560" offset="572912952" size="5120" />
 			<output>
-				<port id="0" precision="FP16">
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-					<dim>1</dim>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.1.mlp.dense_4h_to_h.bias">
 					<dim>2560</dim>
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 		</layer>
-		<layer id="478" name="Constant_325210" type="Convert" version="opset1">
+		<layer id="408" name="__module.model.gpt_neox.layers.1.mlp.dense_4h_to_h/ov_ext::linear/ConvertLike_1" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
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 				<port id="0" precision="FP16">
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 					<dim>2560</dim>
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 			<output>
 				<port id="1" precision="FP32">
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 					<dim>2560</dim>
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 		</layer>
-		<layer id="479" name="__module.model.gpt_neox.layers.1.mlp.dense_4h_to_h/aten::linear/Add" type="Add" version="opset1">
+		<layer id="409" name="__module.model.gpt_neox.layers.1.mlp.dense_4h_to_h/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -7253,20 +6124,18 @@
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 				</port>
 				<port id="1" precision="FP32">
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-					<dim>1</dim>
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 			<output>
-				<port id="2" precision="FP32" names="599,input.9">
+				<port id="2" precision="FP32" names="594,input.7">
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 					<dim>-1</dim>
 					<dim>2560</dim>
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 		</layer>
-		<layer id="480" name="__module.model.gpt_neox.layers.1/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="410" name="__module.model.gpt_neox.layers.1/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
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@@ -7281,14 +6150,14 @@
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-				<port id="2" precision="FP32" names="601,603,hidden_states.5">
+				<port id="2" precision="FP32" names="596,598,hidden_states.11">
 					<dim>-1</dim>
 					<dim>-1</dim>
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 		</layer>
-		<layer id="481" name="__module.model.gpt_neox.layers.2.input_layernorm/aten::layer_norm/Constant" type="Const" version="opset1">
+		<layer id="411" name="__module.model.gpt_neox.layers.2.input_layernorm/aten::layer_norm/Multiply" type="Const" version="opset1">
 			<data element_type="i32" shape="1" offset="258211870" size="4" />
 			<output>
 				<port id="0" precision="I32">
@@ -7296,7 +6165,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="482" name="__module.model.gpt_neox.layers.2.input_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
+		<layer id="412" name="__module.model.gpt_neox.layers.2.input_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -7316,8 +6185,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="483" name="Constant_325211_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 2560" offset="577767810" size="5120" />
+		<layer id="413" name="Constant_36919_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 2560" offset="572918072" size="5120" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -7326,7 +6195,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="484" name="Constant_325211" type="Convert" version="opset1">
+		<layer id="414" name="Constant_36919" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -7346,7 +6215,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="485" name="__module.model.gpt_neox.layers.2.input_layernorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
+		<layer id="415" name="__module.model.gpt_neox.layers.2.input_layernorm/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -7368,8 +6237,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="486" name="Constant_325212_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 2560" offset="577772930" size="5120" />
+		<layer id="416" name="Constant_36920_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 2560" offset="572923192" size="5120" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -7378,7 +6247,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="487" name="Constant_325212" type="Convert" version="opset1">
+		<layer id="417" name="Constant_36920" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -7398,7 +6267,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="488" name="__module.model.gpt_neox.layers.2.input_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="418" name="__module.model.gpt_neox.layers.2.input_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -7413,15 +6282,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="613">
+				<port id="2" precision="FP32" names="608,hidden_states.9">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="489" name="self.model.gpt_neox.layers.2.attention.query_key_value.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="7680, 2560" offset="577778050" size="39321600" />
+		<layer id="419" name="self.model.gpt_neox.layers.2.attention.query_key_value.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="7680, 2560" offset="572928312" size="39321600" />
 			<output>
 				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.2.attention.query_key_value.weight">
 					<dim>7680</dim>
@@ -7429,7 +6298,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="490" name="self.model.gpt_neox.layers.2.attention.query_key_value.weight" type="Convert" version="opset1">
+		<layer id="420" name="self.model.gpt_neox.layers.2.attention.query_key_value.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -7447,7 +6316,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="491" name="__module.model.gpt_neox.layers.2.attention.query_key_value/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="421" name="__module.model.gpt_neox.layers.2.attention.query_key_value/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -7468,8 +6337,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="492" name="Constant_325213_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 7680" offset="617099650" size="15360" />
+		<layer id="422" name="Constant_36921_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 7680" offset="612249912" size="15360" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -7478,7 +6347,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="493" name="Constant_325213" type="Convert" version="opset1">
+		<layer id="423" name="Constant_36921" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -7498,7 +6367,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="494" name="__module.model.gpt_neox.layers.2.attention.query_key_value/aten::linear/Add" type="Add" version="opset1">
+		<layer id="424" name="__module.model.gpt_neox.layers.2.attention.query_key_value/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -7513,14 +6382,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="620,qkv.9">
+				<port id="2" precision="FP32" names="615,qkv.9">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>7680</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="495" name="__module.model.gpt_neox.layers.2.attention/prim::ListConstruct/Concat" type="Const" version="opset1">
+		<layer id="425" name="__module.model.gpt_neox.layers.2.attention/prim::ListConstruct" type="Const" version="opset1">
 			<data element_type="i64" shape="4" offset="297559074" size="32" />
 			<rt_info>
 				<attribute name="precise" version="0" />
@@ -7531,7 +6400,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="496" name="__module.model.gpt_neox.layers.2.attention/aten::view/Reshape" type="Reshape" version="opset1">
+		<layer id="426" name="__module.model.gpt_neox.layers.2.attention/aten::view/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -7544,7 +6413,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="624,qkv.11">
+				<port id="2" precision="FP32" names="619,qkv.11">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
@@ -7552,41 +6421,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="497" name="Constant_295085" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559106" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="427" name="Constant_1975" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="498" name="Constant_295088" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559138" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="428" name="Constant_1977" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="18" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="499" name="Constant_295091" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559170" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="429" name="Constant_1979" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="500" name="__module.model.gpt_neox.layers.2.attention/aten::slice/Slice" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="430" name="__module.model.gpt_neox.layers.2.attention/aten::slice/Slice" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -7595,17 +6454,20 @@
 					<dim>240</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="625">
+				<port id="5" precision="FP32" names="620">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
@@ -7613,15 +6475,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="501" name="Constant_1384" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559202" size="32" />
+		<layer id="431" name="Constant_1988" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="297559122" size="32" />
 			<output>
-				<port id="0" precision="I64" names="626">
+				<port id="0" precision="I64" names="621">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="502" name="__module.model.gpt_neox.layers.2.attention/aten::permute/Transpose" type="Transpose" version="opset1">
+		<layer id="432" name="__module.model.gpt_neox.layers.2.attention/aten::permute/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -7634,7 +6496,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="627,query.13">
+				<port id="2" precision="FP32" names="622,query.5">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -7642,41 +6504,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="503" name="Constant_295097" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559106" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="433" name="Constant_2029" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="504" name="Constant_295100" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559138" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="434" name="Constant_2031" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="18" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="505" name="Constant_295103" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559170" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="435" name="Constant_2033" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="506" name="__module.model.gpt_neox.layers.2.attention/aten::slice/Slice_1" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="436" name="__module.model.gpt_neox.layers.2.attention/aten::slice/Slice_1" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -7685,17 +6537,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="634,q.5">
+				<port id="5" precision="FP32" names="629,q.5">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -7703,205 +6558,174 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="507" name="self.model.gpt_neox.layers.2.attention.rotary_emb.cos_cached_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="2048, 80" offset="297559234" size="327680" />
-			<output>
-				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.2.attention.rotary_emb.cos_cached">
-					<dim>2048</dim>
+		<layer id="437" name="__module.model.gpt_neox.layers.2.attention/aten::mul/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="508" name="self.model.gpt_neox.layers.2.attention.rotary_emb.cos_cached" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
-			<input>
-				<port id="0" precision="FP16">
-					<dim>2048</dim>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
-					<dim>2048</dim>
+				<port id="2" precision="FP32" names="635">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="509" name="__module.model.gpt_neox.layers.2.attention.rotary_emb/aten::slice/Unsqueeze" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="2" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="438" name="Constant_2187" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559246" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="510" name="Constant_295109" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559138" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I64">
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-		</layer>
-		<layer id="511" name="Constant_295112" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="439" name="Constant_2189" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559254" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="512" name="Constant_295115" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559170" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="440" name="Constant_2191" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="513" name="__module.model.gpt_neox.layers.2.attention/aten::slice/Slice_2" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="441" name="__module.model.gpt_neox.layers.2.attention/aten::slice/Slice_2" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
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 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>240</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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 				<port id="1" precision="I64">
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 				<port id="2" precision="I64">
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 				<port id="3" precision="I64">
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+					<dim>1</dim>
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+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
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+		<layer id="443" name="Constant_36922" type="Convert" version="opset1">
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+		<layer id="445" name="Constant_2084" type="Const" version="opset1">
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+				<port id="0" precision="I64">
+					<dim>1</dim>
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 		</layer>
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-		<layer id="521" name="Constant_432685" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="2" size="8" />
+		<layer id="446" name="Constant_2128" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559246" size="8" />
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 		</layer>
-		<layer id="522" name="Constant_432687" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="18" size="8" />
+		<layer id="447" name="Constant_2130" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
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 			</output>
 		</layer>
-		<layer id="523" name="Concat_432688" type="Concat" version="opset1">
-			<data axis="0" />
+		<layer id="448" name="__module.model.gpt_neox.layers.2.attention/aten::slice/Slice_3" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64">
-					<dim>1</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -7912,42 +6736,37 @@
 				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
-			</input>
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-			<input>
-				<port id="0" precision="FP32" />
-				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
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 			</input>
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 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>0</dim>
-					<dim>80</dim>
+					<dim>-1</dim>
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 		</layer>
-		<layer id="525" name="ReadValue_417330" type="ReadValue" version="opset6">
-			<data variable_id="past_key_values.2.keypresent.2.key" variable_type="f32" variable_shape="?,32,?,80" />
+		<layer id="449" name="__module.model.gpt_neox.layers.2.attention/aten::cat/Concat" type="Concat" version="opset1">
+			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>0</dim>
-					<dim>80</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="FP32">
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+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="past_key_values.2.key">
+				<port id="2" precision="FP32" names="648">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -7955,14 +6774,8 @@
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 			</output>
 		</layer>
-		<layer id="526" name="Constant_401902" type="Const" version="opset1">
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-			</output>
-		</layer>
-		<layer id="527" name="Gather_401903" type="Gather" version="opset8">
-			<data batch_dims="0" />
+		<layer id="450" name="__module.model.gpt_neox.layers.2.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -7970,13 +6783,15 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I32">
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="FP32">
+				<port id="2" precision="FP32" names="649">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -7984,8 +6799,8 @@
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 			</output>
 		</layer>
-		<layer id="528" name="ShapeOf_338096" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="451" name="__module.model.gpt_neox.layers.2.attention/aten::add/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -7993,102 +6808,69 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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 			</input>
 			<output>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="FP32" names="650,668">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="529" name="Constant_338097" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="297886954" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="452" name="Constant_52150_compressed" type="Const" version="opset1">
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-				<port id="0" precision="I64" />
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 			</output>
 		</layer>
-		<layer id="530" name="Constant_338098" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="2" size="8" />
+		<layer id="453" name="Constant_52150" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="precise" version="0" />
+				<attribute name="decompression" version="0" />
 			</rt_info>
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-			</output>
-		</layer>
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-				<port id="1" precision="I64" />
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+				<port id="0" precision="FP16" />
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 			<output>
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+				<port id="1" precision="FP32" />
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 		</layer>
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-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="454" name="Constant_52143" type="Const" version="opset1">
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 				<port id="0" precision="I64">
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 				</port>
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 		</layer>
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-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-			</input>
+		<layer id="455" name="Constant_52145" type="Const" version="opset1">
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 			<output>
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 					<dim>1</dim>
 				</port>
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 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="456" name="Constant_52147" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="18" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-			<data begin_mask="0" end_mask="0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="457" name="Concat_52148" type="Concat" version="opset1">
+			<data axis="0" />
 			<input>
-				<port id="0" precision="FP32">
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-					<dim>80</dim>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -8101,59 +6883,55 @@
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 			</input>
 			<output>
-				<port id="4" precision="FP32" names="647,650,cos.9">
-					<dim>-1</dim>
-					<dim>80</dim>
+				<port id="4" precision="I64">
+					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
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-		<layer id="538" name="__module.model.gpt_neox.layers.2.attention/aten::index/Gather" type="Gather" version="opset8">
-			<data batch_dims="0" />
+		<layer id="458" name="Broadcast_52151" type="Broadcast" version="opset3">
+			<data mode="numpy" />
 			<input>
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-					<dim>80</dim>
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-				<port id="1" precision="I32">
-					<dim>-1</dim>
-					<dim>-1</dim>
+				<port id="0" precision="FP32" />
+				<port id="1" precision="I64">
+					<dim>4</dim>
 				</port>
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 			</input>
 			<output>
-				<port id="3" precision="FP32" names="653">
-					<dim>-1</dim>
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>0</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="539" name="__module.model.gpt_neox.layers.2.attention/aten::unsqueeze/Unsqueeze" type="Unsqueeze" version="opset1">
+		<layer id="459" name="ReadValue_49782" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.2.keypresent.2.key" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>32</dim>
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 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="654,cos.11">
+				<port id="1" precision="FP32" names="past_key_values.2.key">
 					<dim>-1</dim>
-					<dim>1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="540" name="__module.model.gpt_neox.layers.2.attention/aten::mul/Multiply" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="460" name="Constant_47341" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="2" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="461" name="Gather_47342" type="Gather" version="opset8">
+			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -8161,15 +6939,13 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>1</dim>
+				<port id="1" precision="I32">
 					<dim>-1</dim>
-					<dim>80</dim>
 				</port>
+				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="658">
+				<port id="3" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -8177,165 +6953,193 @@
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 			</output>
 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="462" name="Constant_1993" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="18" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="542" name="Constant_295119" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="463" name="Constant_1995" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559264" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="543" name="__module.model.gpt_neox.layers.2.attention/aten::size/ShapeOf_5" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="464" name="Constant_1997" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="465" name="__module.model.gpt_neox.layers.2.attention/aten::slice/Slice_5" type="Slice" version="opset8">
 			<input>
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+					<dim>-1</dim>
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-			<rt_info>
-				<attribute name="precise" version="0" />
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+			<data element_type="i64" shape="4" offset="297559122" size="32" />
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+				<port id="0" precision="I64" names="624">
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 		</layer>
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-			<data batch_dims="0" />
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 			<input>
-				<port id="0" precision="I64">
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
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+					<dim>80</dim>
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+				<port id="2" precision="FP32" names="625,key.9">
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+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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 		</layer>
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-				<port id="1" precision="I64" />
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+				<port id="0" precision="I64">
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 		</layer>
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-			<input>
-				<port id="0" precision="I64" />
-			</input>
+		<layer id="469" name="Constant_2051" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="18" size="8" />
 			<output>
-				<port id="1" precision="I64" names="661,662,666,667" />
+				<port id="0" precision="I64">
+					<dim>1</dim>
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 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
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 				<port id="0" precision="I64">
 					<dim>1</dim>
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 		</layer>
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-			<data special_zero="false" />
+		<layer id="471" name="__module.model.gpt_neox.layers.2.attention/aten::slice/Slice_6" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64" />
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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 				<port id="1" precision="I64">
 					<dim>1</dim>
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-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I32">
+				<port id="3" precision="I64">
+					<dim>1</dim>
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+				<port id="4" precision="I64">
 					<dim>1</dim>
 				</port>
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+			<output>
+				<port id="5" precision="FP32" names="631,k.5">
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+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="551" name="ScatterUpdate_295121" type="ScatterUpdate" version="opset3">
+		<layer id="472" name="__module.model.gpt_neox.layers.2.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
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-				</port>
-				<port id="2" precision="I64">
-					<dim>1</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-				<port id="3" precision="I32">
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
 					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="FP32" names="651">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="552" name="Constant_295124" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297886970" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="473" name="Constant_2330" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559246" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="553" name="Constant_295127" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559170" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="474" name="Constant_2332" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559254" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="475" name="Constant_2334" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="554" name="__module.model.gpt_neox.layers.2.attention/aten::slice/Slice_3" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="476" name="__module.model.gpt_neox.layers.2.attention/aten::slice/Slice_7" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -8344,17 +7148,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
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+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="668,x2.9">
+				<port id="5" precision="FP32" names="661,x2.11">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -8362,8 +7169,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="555" name="Constant_325214_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 1, 1" offset="297887002" size="2" />
+		<layer id="477" name="Constant_36923_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 1, 1" offset="297559262" size="2" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -8373,7 +7180,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="556" name="Constant_325214" type="Convert" version="opset1">
+		<layer id="478" name="Constant_36923" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -8395,7 +7202,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="557" name="__module.model.gpt_neox.layers.2.attention/aten::neg/Multiply" type="Multiply" version="opset1">
+		<layer id="479" name="__module.model.gpt_neox.layers.2.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -8412,7 +7219,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="669">
+				<port id="2" precision="FP32" names="662">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -8420,30 +7227,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="558" name="Constant_295172" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559106" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="480" name="Constant_2227" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="559" name="Constant_295177" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559170" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="481" name="Constant_2271" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559246" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="560" name="__module.model.gpt_neox.layers.2.attention/aten::slice/Slice_4" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="482" name="Constant_2273" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="483" name="__module.model.gpt_neox.layers.2.attention/aten::slice/Slice_8" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -8452,17 +7260,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="663">
+				<port id="5" precision="FP32" names="656">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -8470,7 +7281,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="561" name="__module.model.gpt_neox.layers.2.attention/aten::cat/Concat" type="Concat" version="opset1">
+		<layer id="484" name="__module.model.gpt_neox.layers.2.attention/aten::cat/Concat_2" type="Concat" version="opset1">
 			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
@@ -8487,7 +7298,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="671">
+				<port id="2" precision="FP32" names="664">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -8495,125 +7306,32 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="562" name="self.model.gpt_neox.layers.2.attention.rotary_emb.sin_cached_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="2048, 80" offset="297887004" size="327680" />
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-				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.2.attention.rotary_emb.sin_cached">
-					<dim>2048</dim>
-					<dim>80</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="563" name="self.model.gpt_neox.layers.2.attention.rotary_emb.sin_cached" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
-			<input>
-				<port id="0" precision="FP16">
-					<dim>2048</dim>
-					<dim>80</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32">
-					<dim>2048</dim>
-					<dim>80</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="564" name="__module.model.gpt_neox.layers.2.attention.rotary_emb/aten::slice/Unsqueeze_4" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="2" size="8" />
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-				<attribute name="precise" version="0" />
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-			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
-				</port>
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-		</layer>
-		<layer id="565" name="__module.model.gpt_neox.layers.2.attention.rotary_emb/aten::slice/Unsqueeze_6" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886946" size="8" />
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-				<attribute name="precise" version="0" />
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-				<port id="0" precision="I64">
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-				</port>
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-		</layer>
-		<layer id="566" name="__module.model.gpt_neox.layers.2.attention.rotary_emb/aten::slice/Slice_1" type="StridedSlice" version="opset1">
-			<data begin_mask="0" end_mask="0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
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-				<port id="0" precision="FP32">
-					<dim>2048</dim>
-					<dim>80</dim>
-				</port>
-				<port id="1" precision="I64">
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-				<port id="2" precision="I64">
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-				<port id="3" precision="I64">
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-					<dim>80</dim>
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-		</layer>
-		<layer id="567" name="Constant_38242" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="I32" />
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-		</layer>
-		<layer id="568" name="__module.model.gpt_neox.layers.2.attention/aten::index/Gather_1" type="Gather" version="opset8">
-			<data batch_dims="0" />
+		<layer id="485" name="__module.model.gpt_neox.layers.2.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>80</dim>
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-				<port id="1" precision="I32">
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-					<dim>-1</dim>
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-				<port id="2" precision="I32" />
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-			<output>
-				<port id="3" precision="FP32" names="656">
-					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
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-		</layer>
-		<layer id="569" name="__module.model.gpt_neox.layers.2.attention/aten::unsqueeze/Unsqueeze_1" type="Unsqueeze" version="opset1">
-			<input>
-				<port id="0" precision="FP32">
+				<port id="1" precision="FP32">
 					<dim>-1</dim>
+					<dim>1</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="657,sin.11">
+				<port id="2" precision="FP32" names="665">
 					<dim>-1</dim>
-					<dim>1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="570" name="__module.model.gpt_neox.layers.2.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
+		<layer id="486" name="__module.model.gpt_neox.layers.2.attention/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -8624,13 +7342,13 @@
 				</port>
 				<port id="1" precision="FP32">
 					<dim>-1</dim>
-					<dim>1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="672">
+				<port id="2" precision="FP32" names="666,670">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -8638,8 +7356,8 @@
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 			</output>
 		</layer>
-		<layer id="571" name="__module.model.gpt_neox.layers.2.attention/aten::add/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="487" name="__module.model.gpt_neox.layers.2.attention/aten::cat/Concat_4" type="Concat" version="opset1">
+			<data axis="-2" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -8655,7 +7373,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="673,691,701,query.15,query.17">
+				<port id="2" precision="FP32" names="present.2.key">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -8663,114 +7381,99 @@
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 			</output>
 		</layer>
-		<layer id="572" name="Constant_1398" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559202" size="32" />
+		<layer id="488" name="Constant_52162_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="" offset="0" size="2" />
 			<output>
-				<port id="0" precision="I64" names="629">
-					<dim>4</dim>
-				</port>
+				<port id="0" precision="FP16" />
 			</output>
 		</layer>
-		<layer id="573" name="__module.model.gpt_neox.layers.2.attention/aten::permute/Transpose_1" type="Transpose" version="opset1">
+		<layer id="489" name="Constant_52162" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
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-					<dim>-1</dim>
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-					<dim>80</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
+				<port id="0" precision="FP16" />
 			</input>
 			<output>
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-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
+				<port id="1" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="574" name="Constant_295223" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="490" name="Constant_52155" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="10" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="491" name="Constant_52157" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="492" name="Constant_52159" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="18" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="577" name="__module.model.gpt_neox.layers.2.attention/aten::slice/Slice_6" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="493" name="Concat_52160" type="Concat" version="opset1">
+			<data axis="0" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="4" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="494" name="Broadcast_52163" type="Broadcast" version="opset3">
+			<data mode="numpy" />
+			<input>
+				<port id="0" precision="FP32" />
+				<port id="1" precision="I64">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="636,k.5">
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>-1</dim>
+					<dim>0</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="578" name="__module.model.gpt_neox.layers.2.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="495" name="ReadValue_49784" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.2.valuepresent.2.value" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>1</dim>
-					<dim>-1</dim>
+					<dim>0</dim>
 					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="674">
+				<port id="1" precision="FP32" names="past_key_values.2.value">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -8778,30 +7481,14 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="579" name="Constant_295233" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559106" size="32" />
-			<rt_info>
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-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="580" name="Constant_295232" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886962" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="496" name="Constant_47344" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="2" size="8" />
 			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
-				</port>
+				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="581" name="__module.model.gpt_neox.layers.2.attention/aten::size/ShapeOf_7" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="497" name="Gather_47345" type="Gather" version="opset8">
+			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -8809,93 +7496,51 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-			</input>
-			<output>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="582" name="__module.model.gpt_neox.layers.2.attention/aten::size/Constant_7" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="258211866" size="4" />
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-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I32" />
-			</output>
-		</layer>
-		<layer id="583" name="__module.model.gpt_neox.layers.2.attention/aten::size/Gather_7" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="I32">
+					<dim>-1</dim>
 				</port>
-				<port id="1" precision="I64" />
-				<port id="2" precision="I32" />
-			</input>
-			<output>
-				<port id="3" precision="I64" names="675,680" />
-			</output>
-		</layer>
-		<layer id="584" name="__module.model.gpt_neox.layers.2.attention/aten::floor_divide/Divide_3" type="Divide" version="opset1">
-			<data auto_broadcast="numpy" m_pythondiv="true" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
-			</input>
-			<output>
 				<port id="2" precision="I64" />
-			</output>
-		</layer>
-		<layer id="585" name="__module.model.gpt_neox.layers.2.attention/aten::floor_divide/Floor_3" type="Floor" version="opset1">
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-				<port id="0" precision="I64" />
 			</input>
 			<output>
-				<port id="1" precision="I64" names="677,678,682,683" />
+				<port id="3" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="586" name="Constant_337608" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886946" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="498" name="Constant_2011" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559264" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="587" name="__module.model.gpt_neox.layers.2.attention/aten::slice/Unsqueeze_33" type="Reshape" version="opset1">
-			<data special_zero="false" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-			</input>
+		<layer id="499" name="Constant_2013" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559254" size="8" />
 			<output>
-				<port id="2" precision="I64">
+				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="588" name="Constant_295231" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="258211866" size="4" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="500" name="Constant_2015" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
 			<output>
-				<port id="0" precision="I32">
+				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="589" name="ScatterUpdate_295234" type="ScatterUpdate" version="opset3">
+		<layer id="501" name="__module.model.gpt_neox.layers.2.attention/aten::slice/Slice_10" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>240</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -8903,148 +7548,86 @@
 				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
+				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
-			</input>
-			<output>
 				<port id="4" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="590" name="Constant_295237" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297886970" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+			</input>
 			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="5" precision="FP32" names="626">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="591" name="Constant_295240" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559170" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="502" name="Constant_2024" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="297559122" size="32" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I64" names="627">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="592" name="__module.model.gpt_neox.layers.2.attention/aten::slice/Slice_7" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="503" name="__module.model.gpt_neox.layers.2.attention/aten::permute/Transpose_2" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>4</dim>
 				</port>
-				<port id="2" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="3" precision="I64">
-					<dim>4</dim>
-				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="684,x2.11">
+				<port id="2" precision="FP32" names="628">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>40</dim>
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-			</output>
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-		<layer id="593" name="Constant_325215_compressed" type="Const" version="opset1">
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-				<port id="0" precision="FP16">
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-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
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-		</layer>
-		<layer id="594" name="Constant_325215" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
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-				<port id="0" precision="FP16">
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-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
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-			<data auto_broadcast="numpy" />
+		<layer id="504" name="__module.model.gpt_neox.layers.2.attention/aten::cat/Concat_5" type="Concat" version="opset1">
+			<data axis="-2" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>40</dim>
+					<dim>80</dim>
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 				<port id="1" precision="FP32">
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-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="685">
+				<port id="2" precision="FP32" names="present.2.value">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>40</dim>
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-		<layer id="596" name="Constant_295285" type="Const" version="opset1">
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-				<attribute name="precise" version="0" />
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-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="597" name="Constant_295290" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559170" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="505" name="Constant_2406" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="598" name="__module.model.gpt_neox.layers.2.attention/aten::slice/Slice_8" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="506" name="ShapeOf_38345" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -9052,77 +7635,46 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
+			</input>
+			<output>
 				<port id="1" precision="I64">
 					<dim>4</dim>
 				</port>
-				<port id="2" precision="I64">
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-				</port>
-				<port id="3" precision="I64">
-					<dim>4</dim>
-				</port>
-			</input>
+			</output>
+		</layer>
+		<layer id="507" name="Constant_38346" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559280" size="8" />
 			<output>
-				<port id="4" precision="FP32" names="679">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>40</dim>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="599" name="__module.model.gpt_neox.layers.2.attention/aten::cat/Concat_2" type="Concat" version="opset1">
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-			<input>
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+		<layer id="508" name="Constant_38347" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="2" size="8" />
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+				<port id="0" precision="I64" />
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 		</layer>
-		<layer id="600" name="__module.model.gpt_neox.layers.2.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="509" name="Gather_38348" type="Gather" version="opset8">
+			<data batch_dims="0" />
 			<input>
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-					<dim>32</dim>
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-					<dim>80</dim>
+				<port id="0" precision="I64">
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 				</port>
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-					<dim>-1</dim>
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 			</input>
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-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
+				<port id="3" precision="I64">
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 				</port>
 			</output>
 		</layer>
-		<layer id="601" name="__module.model.gpt_neox.layers.2.attention/aten::add/Add_1" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="510" name="ShapeOf_38349" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -9130,94 +7682,75 @@
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 					<dim>80</dim>
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-				<port id="1" precision="FP32">
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-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
+				<port id="1" precision="I64">
+					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="602" name="__module.model.gpt_neox.layers.2.attention/aten::to/Convert_1" type="Concat" version="opset1">
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-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-			</input>
+		<layer id="511" name="Constant_38350" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559280" size="8" />
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-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
+				<port id="0" precision="I64">
+					<dim>1</dim>
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 			</output>
 		</layer>
-		<layer id="603" name="Constant_432703_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="" offset="0" size="2" />
+		<layer id="512" name="Constant_38351" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="2" size="8" />
 			<output>
-				<port id="0" precision="FP16" />
+				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="604" name="Constant_432703" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
+		<layer id="513" name="Gather_38352" type="Gather" version="opset8">
+			<data batch_dims="0" />
 			<input>
-				<port id="0" precision="FP16" />
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
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+				<port id="2" precision="I64" />
 			</input>
 			<output>
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+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="605" name="Constant_432696" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="10" size="8" />
-			<output>
+		<layer id="514" name="Add_38353" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
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-		</layer>
-		<layer id="606" name="Constant_432698" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="2" size="8" />
+				<port id="1" precision="I64">
+					<dim>1</dim>
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+			</input>
 			<output>
-				<port id="0" precision="I64">
+				<port id="2" precision="I64" names="675">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="607" name="Constant_432700" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="18" size="8" />
+		<layer id="515" name="Constant_2409" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="608" name="Concat_432701" type="Concat" version="opset1">
-			<data axis="0" />
+		<layer id="516" name="__module.model.gpt_neox.layers.2.attention/aten::slice/Slice_14" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64">
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
 					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -9228,71 +7761,49 @@
 				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
-			</input>
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 				<port id="4" precision="I64">
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-			<input>
-				<port id="0" precision="FP32" />
-				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="5" precision="FP32" names="679">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>32</dim>
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-					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
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-			<data variable_id="past_key_values.2.valuepresent.2.value" variable_type="f32" variable_shape="?,32,?,80" />
+		<layer id="517" name="__module.model.gpt_neox.layers.2.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+			<data causal="false" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>0</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
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-			<output>
-				<port id="1" precision="FP32" names="past_key_values.2.value">
+				<port id="1" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
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-		<layer id="611" name="Constant_401905" type="Const" version="opset1">
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-				<port id="0" precision="I64" />
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-		<layer id="612" name="Gather_401906" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
-				<port id="0" precision="FP32">
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I32">
+				<port id="3" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
-				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="FP32">
+				<port id="4" precision="FP32" names="680,attn_output.17">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -9300,29122 +7811,228 @@
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 			</output>
 		</layer>
-		<layer id="613" name="Constant_295335" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="518" name="__module.model.gpt_neox.layers.2.attention/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="297559312" size="16" />
 			<output>
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+				<port id="0" precision="I32">
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 				</port>
 			</output>
 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I64">
+		<layer id="519" name="__module.model.gpt_neox.layers.2.attention/aten::transpose/Transpose" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="681">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>80</dim>
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 			</output>
 		</layer>
-		<layer id="615" name="Constant_295341" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559170" size="32" />
+		<layer id="520" name="Constant_40537" type="Const" version="opset1">
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 			<rt_info>
 				<attribute name="precise" version="0" />
 			</rt_info>
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>3</dim>
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 			</output>
 		</layer>
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-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="521" name="__module.model.gpt_neox.layers.2.attention/aten::view/Reshape_1" type="Reshape" version="opset1">
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 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
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 				<port id="1" precision="I64">
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-				<port id="3" precision="I64">
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+					<dim>3</dim>
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 			</input>
 			<output>
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+				<port id="2" precision="FP32" names="684">
 					<dim>-1</dim>
 					<dim>-1</dim>
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 		</layer>
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+		<layer id="522" name="self.model.gpt_neox.layers.2.attention.dense.weight_compressed" type="Const" version="opset1">
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+					<dim>2560</dim>
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 		</layer>
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+		<layer id="523" name="self.model.gpt_neox.layers.2.attention.dense.weight" type="Convert" version="opset1">
+			<data destination_type="f32" />
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+				<attribute name="decompression" version="0" />
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 		</layer>
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+		<layer id="524" name="__module.model.gpt_neox.layers.2.attention.dense/ov_ext::linear/MatMul" type="MatMul" version="opset1">
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 			<output>
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+					<dim>80</dim>
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 		</layer>
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-				<port id="1" precision="I64" />
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 		</layer>
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-			<data output_type="i64" />
+		<layer id="572" name="__module.model.gpt_neox.layers.3.attention/aten::permute/Transpose" type="Transpose" version="opset1">
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-				<port id="1" precision="I64" />
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+				<port id="2" precision="FP32" names="734,query.7">
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+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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 		</layer>
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-				<attribute name="precise" version="0" />
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+		<layer id="573" name="Constant_2659" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
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 				<port id="0" precision="I64">
 					<dim>1</dim>
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-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
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-			</input>
+		<layer id="574" name="Constant_2661" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="18" size="8" />
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 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="575" name="Constant_2663" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
 			<output>
-				<port id="0" precision="I32">
+				<port id="0" precision="I64">
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 				</port>
 			</output>
 		</layer>
-		<layer id="2610" name="ScatterUpdate_298505" type="ScatterUpdate" version="opset3">
+		<layer id="576" name="__module.model.gpt_neox.layers.3.attention/aten::slice/Slice_1" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64">
-					<dim>3</dim>
+				<port id="0" precision="FP32">
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+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -39651,56 +8734,78 @@
 				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
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 				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64">
-					<dim>3</dim>
+				<port id="5" precision="FP32" names="741,q.7">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="577" name="__module.model.gpt_neox.layers.3.attention/aten::mul/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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+			</input>
 			<output>
-				<port id="0" precision="I64">
-					<dim>3</dim>
+				<port id="2" precision="FP32" names="747">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="578" name="Constant_2817" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559246" size="8" />
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 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-			<data special_zero="false" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
+		<layer id="579" name="Constant_2819" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559254" size="8" />
+			<output>
+				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
-			</input>
+			</output>
+		</layer>
+		<layer id="580" name="Constant_2821" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
 			<output>
-				<port id="2" precision="I64">
+				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2614" name="ScatterUpdate_298507" type="ScatterUpdate" version="opset3">
+		<layer id="581" name="__module.model.gpt_neox.layers.3.attention/aten::slice/Slice_2" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64">
-					<dim>3</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -39708,103 +8813,111 @@
 				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
+				<port id="3" precision="I64">
+					<dim>1</dim>
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+				<port id="4" precision="I64">
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64">
-					<dim>3</dim>
+				<port id="5" precision="FP32" names="757,x2.13">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="582" name="Constant_36930_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 1, 1" offset="297559262" size="2" />
 			<output>
-				<port id="0" precision="I64">
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+				<port id="0" precision="FP16">
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+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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 			</output>
 		</layer>
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-			<data begin_mask="1, 1, 0" end_mask="1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="583" name="Constant_36930" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
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 			<input>
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 				</port>
 			</input>
 			<output>
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 					<dim>1</dim>
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 		</layer>
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-				<attribute name="precise" version="0" />
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+		<layer id="584" name="__module.model.gpt_neox.layers.3.attention/aten::neg/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
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+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
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+					<dim>1</dim>
+					<dim>1</dim>
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 			<output>
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-					<dim>4</dim>
+				<port id="2" precision="FP32" names="758">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
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 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
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 			<output>
 				<port id="0" precision="I64">
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+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="586" name="Constant_2758" type="Const" version="opset1">
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 				<port id="0" precision="I64">
 					<dim>1</dim>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="587" name="Constant_2760" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
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-				<port id="0" precision="I32">
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 				</port>
 			</output>
 		</layer>
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 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="FP32">
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+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -39812,212 +8925,140 @@
 				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
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 					<dim>1</dim>
 				</port>
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 				<port id="4" precision="I64">
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 				</port>
 			</input>
 			<output>
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-					<dim>1</dim>
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 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>40</dim>
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 		</layer>
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-		<layer id="2627" name="__module.model.gpt_neox.layers.11.attention/aten::where/Select" type="Select" version="opset1">
-			<data auto_broadcast="numpy" />
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 					<dim>-1</dim>
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@@ -40034,79 +9075,69 @@
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+		<layer id="599" name="ReadValue_49826" type="ReadValue" version="opset6">
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 				</port>
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+		</layer>
+		<layer id="600" name="Constant_47347" type="Const" version="opset1">
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+				<port id="0" precision="I64" />
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+		<layer id="601" name="Gather_47348" type="Gather" version="opset8">
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@@ -40114,280 +9145,234 @@
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 		</layer>
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+		<layer id="602" name="Constant_2623" type="Const" version="opset1">
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+		<layer id="603" name="Constant_2625" type="Const" version="opset1">
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-					<dim>2560</dim>
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 				<port id="0" precision="FP32">
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 			<output>
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 				<port id="0" precision="FP32">
 					<dim>-1</dim>
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 		</layer>
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 			<output>
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 					<dim>32</dim>
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@@ -41022,738 +10003,635 @@
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+		<layer id="659" name="__module.model.gpt_neox.layers.3.attention/aten::transpose/Transpose" type="Transpose" version="opset1">
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+		<layer id="702" name="Constant_36937_compressed" type="Const" version="opset1">
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 		</layer>
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 		</layer>
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+		<layer id="705" name="__module.model.gpt_neox.layers.4.attention/prim::ListConstruct" type="Const" version="opset1">
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 					<dim>-1</dim>
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+		<layer id="707" name="Constant_3235" type="Const" version="opset1">
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+				<port id="0" precision="I64">
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 		</layer>
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+		<layer id="710" name="__module.model.gpt_neox.layers.4.attention/aten::slice/Slice" type="Slice" version="opset8">
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 				<port id="0" precision="FP32">
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 			</input>
 			<output>
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+				<port id="5" precision="FP32" names="844">
 					<dim>-1</dim>
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 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>80</dim>
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 		</layer>
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-			<data element_type="i64" shape="4" offset="297559202" size="32" />
+		<layer id="711" name="Constant_3248" type="Const" version="opset1">
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 			<output>
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+				<port id="0" precision="I64" names="845">
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 				</port>
 			</output>
 		</layer>
-		<layer id="2765" name="__module.model.gpt_neox.layers.12.attention/aten::permute/Transpose_1" type="Transpose" version="opset1">
+		<layer id="712" name="__module.model.gpt_neox.layers.4.attention/aten::permute/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -42064,7 +10880,7 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2120,key.73">
+				<port id="2" precision="FP32" names="846,query.9">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -42072,41 +10888,31 @@
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 		</layer>
-		<layer id="2766" name="Constant_298733" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="713" name="Constant_3289" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
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 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
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+		<layer id="714" name="Constant_3291" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="I64">
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+					<dim>1</dim>
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 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="715" name="Constant_3293" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2769" name="__module.model.gpt_neox.layers.12.attention/aten::slice/Slice_6" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="716" name="__module.model.gpt_neox.layers.4.attention/aten::slice/Slice_1" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -42115,17 +10921,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
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+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
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+					<dim>1</dim>
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+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="2126,k.25">
+				<port id="5" precision="FP32" names="853,q.9">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -42133,7 +10942,7 @@
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 			</output>
 		</layer>
-		<layer id="2770" name="__module.model.gpt_neox.layers.12.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
+		<layer id="717" name="__module.model.gpt_neox.layers.4.attention/aten::mul/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -42150,7 +10959,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2164">
+				<port id="2" precision="FP32" names="859">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -42158,165 +10967,31 @@
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 		</layer>
-		<layer id="2771" name="Constant_298743" type="Const" version="opset1">
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-		<layer id="2772" name="Constant_298742" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="718" name="Constant_3447" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559246" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
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 		</layer>
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-		<layer id="2777" name="__module.model.gpt_neox.layers.12.attention/aten::floor_divide/Floor_3" type="Floor" version="opset1">
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-			<output>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="719" name="Constant_3449" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559254" size="8" />
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 				<port id="0" precision="I64">
 					<dim>1</dim>
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 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="720" name="Constant_3451" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
 			<output>
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 				<port id="0" precision="I64">
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-		<layer id="2783" name="Constant_298750" type="Const" version="opset1">
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-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="721" name="__module.model.gpt_neox.layers.4.attention/aten::slice/Slice_2" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -42325,17 +11000,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
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+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
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+					<dim>1</dim>
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+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
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+				<port id="5" precision="FP32" names="869,x2.17">
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 					<dim>32</dim>
 					<dim>-1</dim>
@@ -42343,8 +11021,8 @@
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 			</output>
 		</layer>
-		<layer id="2785" name="Constant_325315_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 1, 1" offset="297887002" size="2" />
+		<layer id="722" name="Constant_36938_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 1, 1" offset="297559262" size="2" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -42354,7 +11032,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2786" name="Constant_325315" type="Convert" version="opset1">
+		<layer id="723" name="Constant_36938" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -42376,7 +11054,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2787" name="__module.model.gpt_neox.layers.12.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
+		<layer id="724" name="__module.model.gpt_neox.layers.4.attention/aten::neg/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -42393,7 +11071,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2175">
+				<port id="2" precision="FP32" names="870">
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 					<dim>32</dim>
 					<dim>-1</dim>
@@ -42401,30 +11079,31 @@
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 			</output>
 		</layer>
-		<layer id="2788" name="Constant_298795" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="725" name="Constant_3344" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2789" name="Constant_298800" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559170" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="726" name="Constant_3388" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559246" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="727" name="Constant_3390" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2790" name="__module.model.gpt_neox.layers.12.attention/aten::slice/Slice_8" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="728" name="__module.model.gpt_neox.layers.4.attention/aten::slice/Slice_3" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -42433,17 +11112,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
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+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
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+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
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+				<port id="5" precision="FP32" names="864">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -42451,7 +11133,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2791" name="__module.model.gpt_neox.layers.12.attention/aten::cat/Concat_2" type="Concat" version="opset1">
+		<layer id="729" name="__module.model.gpt_neox.layers.4.attention/aten::cat/Concat" type="Concat" version="opset1">
 			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
@@ -42468,7 +11150,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2177">
+				<port id="2" precision="FP32" names="872">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -42476,7 +11158,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2792" name="__module.model.gpt_neox.layers.12.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
+		<layer id="730" name="__module.model.gpt_neox.layers.4.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -42493,7 +11175,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2178">
+				<port id="2" precision="FP32" names="873">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -42501,7 +11183,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2793" name="__module.model.gpt_neox.layers.12.attention/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="731" name="__module.model.gpt_neox.layers.4.attention/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -42518,32 +11200,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2179,2183">
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-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
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-			</output>
-		</layer>
-		<layer id="2794" name="__module.model.gpt_neox.layers.12.attention/aten::to/Convert_1" type="Concat" version="opset1">
-			<data axis="-2" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
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-				<port id="1" precision="FP32">
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-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="present.12.key">
+				<port id="2" precision="FP32" names="874,892">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -42551,13 +11208,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2795" name="Constant_432963_compressed" type="Const" version="opset1">
+		<layer id="732" name="Constant_52198_compressed" type="Const" version="opset1">
 			<data element_type="f16" shape="" offset="0" size="2" />
 			<output>
 				<port id="0" precision="FP16" />
 			</output>
 		</layer>
-		<layer id="2796" name="Constant_432963" type="Convert" version="opset1">
+		<layer id="733" name="Constant_52198" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -42569,7 +11226,7 @@
 				<port id="1" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="2797" name="Constant_432956" type="Const" version="opset1">
+		<layer id="734" name="Constant_52191" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="10" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -42577,7 +11234,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2798" name="Constant_432958" type="Const" version="opset1">
+		<layer id="735" name="Constant_52193" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -42585,7 +11242,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2799" name="Constant_432960" type="Const" version="opset1">
+		<layer id="736" name="Constant_52195" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="18" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -42593,7 +11250,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2800" name="Concat_432961" type="Concat" version="opset1">
+		<layer id="737" name="Concat_52196" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -42615,7 +11272,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2801" name="Broadcast_432964" type="Broadcast" version="opset3">
+		<layer id="738" name="Broadcast_52199" type="Broadcast" version="opset3">
 			<data mode="numpy" />
 			<input>
 				<port id="0" precision="FP32" />
@@ -42632,8 +11289,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2802" name="ReadValue_417300" type="ReadValue" version="opset6">
-			<data variable_id="past_key_values.12.valuepresent.12.value" variable_type="f32" variable_shape="?,32,?,80" />
+		<layer id="739" name="ReadValue_49838" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.4.keypresent.4.key" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -42643,7 +11300,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="past_key_values.12.value">
+				<port id="1" precision="FP32" names="past_key_values.4.key">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -42651,13 +11308,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2803" name="Constant_401965" type="Const" version="opset1">
+		<layer id="740" name="Constant_47353" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="2804" name="Gather_401966" type="Gather" version="opset8">
+		<layer id="741" name="Gather_47354" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
@@ -42680,41 +11337,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2805" name="Constant_298845" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297886914" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="742" name="Constant_3253" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="18" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2806" name="Constant_298848" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297886970" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="743" name="Constant_3255" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559264" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2807" name="Constant_298851" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559170" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="744" name="Constant_3257" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2808" name="__module.model.gpt_neox.layers.12.attention/aten::slice/Slice_10" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="745" name="__module.model.gpt_neox.layers.4.attention/aten::slice/Slice_5" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -42723,17 +11370,20 @@
 					<dim>240</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="2121">
+				<port id="5" precision="FP32" names="847">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
@@ -42741,15 +11391,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2809" name="Constant_7222" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559202" size="32" />
+		<layer id="746" name="Constant_3266" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="297559122" size="32" />
 			<output>
-				<port id="0" precision="I64" names="2122">
+				<port id="0" precision="I64" names="848">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2810" name="__module.model.gpt_neox.layers.12.attention/aten::permute/Transpose_2" type="Transpose" version="opset1">
+		<layer id="747" name="__module.model.gpt_neox.layers.4.attention/aten::permute/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -42762,32 +11412,7 @@
 				</port>
 			</input>
 			<output>
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-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
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-		</layer>
-		<layer id="2811" name="__module.model.gpt_neox.layers.12.attention/aten::cat/Concat_5" type="Concat" version="opset1">
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-			<input>
-				<port id="0" precision="FP32">
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-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
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-				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
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-					<dim>80</dim>
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-			</input>
-			<output>
-				<port id="2" precision="FP32" names="present.12.value">
+				<port id="2" precision="FP32" names="849,key.17">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -42795,41 +11420,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2812" name="__module.model.gpt_neox.layers.12.attention/aten::slice/Slice_11" type="Const" version="opset1">
-			<data element_type="boolean" shape="1, 1, 2048, 2048" offset="298214684" size="4194304" />
+		<layer id="748" name="Constant_3309" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
-				<port id="0" precision="BOOL" names="2200">
-					<dim>1</dim>
+				<port id="0" precision="I64">
 					<dim>1</dim>
-					<dim>2048</dim>
-					<dim>2048</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2813" name="Constant_298855" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="302408988" size="24" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="749" name="Constant_3311" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="18" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>3</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2814" name="Constant_298854" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886954" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="750" name="Constant_3313" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2815" name="ShapeOf_339011" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="751" name="__module.model.gpt_neox.layers.4.attention/aten::slice/Slice_6" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -42837,56 +11452,30 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-			</input>
-			<output>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="2816" name="Constant_339012" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="297886954" size="8" />
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-			</rt_info>
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-				<port id="0" precision="I64" />
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-		</layer>
-		<layer id="2817" name="Constant_339013" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I64" />
-			</output>
-		</layer>
-		<layer id="2818" name="Gather_339014" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
-				<port id="1" precision="I64" />
-				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" />
+				<port id="5" precision="FP32" names="855,k.9">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="2819" name="Add_339015" type="Add" version="opset1">
+		<layer id="752" name="__module.model.gpt_neox.layers.4.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
-			</input>
-			<output>
-				<port id="2" precision="I64" names="2195" />
-			</output>
-		</layer>
-		<layer id="2820" name="ShapeOf_339082" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -42894,94 +11483,53 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-			</input>
-			<output>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2821" name="Constant_339083" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="297886954" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I64" />
-			</output>
-		</layer>
-		<layer id="2822" name="Constant_339084" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="2" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I64" />
-			</output>
-		</layer>
-		<layer id="2823" name="Gather_339085" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64" />
-				<port id="2" precision="I64" />
-			</input>
-			<output>
-				<port id="3" precision="I64" names="2193" />
-			</output>
-		</layer>
-		<layer id="2824" name="__module.model.gpt_neox.layers.12.attention/aten::sub/Subtract" type="Subtract" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="I64" names="2197,2198" />
+				<port id="2" precision="FP32" names="875">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="2825" name="Constant_337710" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886946" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="753" name="Constant_3590" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559246" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2826" name="__module.model.gpt_neox.layers.12.attention/aten::slice/Unsqueeze_44" type="Reshape" version="opset1">
-			<data special_zero="false" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-			</input>
+		<layer id="754" name="Constant_3592" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559254" size="8" />
 			<output>
-				<port id="2" precision="I64">
+				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2827" name="Constant_298853" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="258211866" size="4" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="755" name="Constant_3594" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
 			<output>
-				<port id="0" precision="I32">
+				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2828" name="ScatterUpdate_298856" type="ScatterUpdate" version="opset3">
+		<layer id="756" name="__module.model.gpt_neox.layers.4.attention/aten::slice/Slice_7" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64">
-					<dim>3</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -42989,160 +11537,111 @@
 				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
+				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
-			</input>
-			<output>
 				<port id="4" precision="I64">
-					<dim>3</dim>
+					<dim>1</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="2829" name="Constant_298857" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="302408988" size="24" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+			</input>
 			<output>
-				<port id="0" precision="I64">
-					<dim>3</dim>
+				<port id="5" precision="FP32" names="885,x2.19">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2830" name="Constant_337712" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886946" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="757" name="Constant_36939_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 1, 1" offset="297559262" size="2" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="FP16">
+					<dim>1</dim>
 					<dim>1</dim>
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-			</output>
-		</layer>
-		<layer id="2831" name="__module.model.gpt_neox.layers.12.attention/aten::slice/Unsqueeze_45" type="Reshape" version="opset1">
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-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
 					<dim>1</dim>
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-			<output>
-				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2832" name="ScatterUpdate_298858" type="ScatterUpdate" version="opset3">
+		<layer id="758" name="Constant_36939" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
-				<port id="0" precision="I64">
-					<dim>3</dim>
-				</port>
-				<port id="1" precision="I64">
+				<port id="0" precision="FP16">
+					<dim>1</dim>
 					<dim>1</dim>
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-				<port id="2" precision="I64">
 					<dim>1</dim>
-				</port>
-				<port id="3" precision="I32">
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
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-					<dim>3</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2833" name="Constant_298861" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="302409012" size="24" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I64">
-					<dim>3</dim>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2834" name="__module.model.gpt_neox.layers.12.attention/aten::slice/Slice_12" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 0" end_mask="1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="759" name="__module.model.gpt_neox.layers.4.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="BOOL">
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="FP32">
 					<dim>1</dim>
 					<dim>1</dim>
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-					<dim>2048</dim>
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-				<port id="1" precision="I64">
-					<dim>3</dim>
-				</port>
-				<port id="2" precision="I64">
-					<dim>3</dim>
-				</port>
-				<port id="3" precision="I64">
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-				</port>
-			</input>
-			<output>
-				<port id="4" precision="BOOL" names="2201">
 					<dim>1</dim>
 					<dim>1</dim>
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-					<dim>2048</dim>
 				</port>
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-		<layer id="2835" name="Constant_298934" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559106" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+			</input>
 			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="FP32" names="886">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2836" name="Constant_298935" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559106" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="760" name="Constant_3487" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2837" name="Constant_298931" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886962" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="761" name="Constant_3531" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559246" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2838" name="Constant_298930" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="258211866" size="4" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="762" name="Constant_3533" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
 			<output>
-				<port id="0" precision="I32">
+				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2839" name="ScatterUpdate_298936" type="ScatterUpdate" version="opset3">
+		<layer id="763" name="__module.model.gpt_neox.layers.4.attention/aten::slice/Slice_8" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -43150,212 +11649,165 @@
 				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
+				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
-			</input>
-			<output>
 				<port id="4" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="2840" name="Constant_298939" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559170" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+			</input>
 			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="5" precision="FP32" names="880">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2841" name="__module.model.gpt_neox.layers.12.attention/aten::slice/Slice_13" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="764" name="__module.model.gpt_neox.layers.4.attention/aten::cat/Concat_2" type="Concat" version="opset1">
+			<data axis="-1" />
 			<input>
-				<port id="0" precision="BOOL">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>2048</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
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 			<output>
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+				<port id="1" precision="FP32" />
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 		</layer>
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+		<layer id="770" name="Constant_52203" type="Const" version="opset1">
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+		</layer>
+		<layer id="771" name="Constant_52205" type="Const" version="opset1">
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-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="772" name="Constant_52207" type="Const" version="opset1">
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 				<port id="0" precision="I64">
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 				</port>
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 		</layer>
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+		<layer id="773" name="Concat_52208" type="Concat" version="opset1">
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 			<input>
 				<port id="0" precision="I64">
@@ -43372,79 +11824,40 @@
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 			</input>
 			<output>
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-			</input>
-			<output>
-				<port id="2" precision="I64">
+				<port id="4" precision="I64">
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 				</port>
 			</output>
 		</layer>
-		<layer id="2856" name="__module.model.gpt_neox.layers.12.attention/aten::add/Add_2" type="Broadcast" version="opset3">
+		<layer id="774" name="Broadcast_52211" type="Broadcast" version="opset3">
 			<data mode="numpy" />
 			<input>
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-					<dim>-1</dim>
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+				<port id="0" precision="FP32" />
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 				</port>
 			</input>
 			<output>
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-					<dim>-1</dim>
-					<dim>1</dim>
-					<dim>-1</dim>
+				<port id="2" precision="FP32">
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+					<dim>32</dim>
+					<dim>0</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
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-			<data causal="false" />
+		<layer id="775" name="ReadValue_49840" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.4.valuepresent.4.value" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
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-				<port id="2" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
+					<dim>0</dim>
 					<dim>80</dim>
 				</port>
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 			</input>
 			<output>
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+				<port id="1" precision="FP32" names="past_key_values.4.value">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -43452,15 +11865,14 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2858" name="Constant_7663" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559202" size="32" />
+		<layer id="776" name="Constant_47356" type="Const" version="opset1">
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 			<output>
-				<port id="0" precision="I64" names="2210">
-					<dim>4</dim>
-				</port>
+				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="2859" name="__module.model.gpt_neox.layers.12.attention/aten::permute/Transpose_3" type="Transpose" version="opset1">
+		<layer id="777" name="Gather_47357" type="Gather" version="opset8">
+			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -43468,432 +11880,392 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="I32">
+					<dim>-1</dim>
 				</port>
+				<port id="2" precision="I64" />
 			</input>
 			<output>
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-					<dim>-1</dim>
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 					<dim>-1</dim>
 					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="778" name="Constant_3271" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559264" size="8" />
 			<output>
 				<port id="0" precision="I64">
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-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>2560</dim>
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 			</output>
 		</layer>
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+		<layer id="779" name="Constant_3273" type="Const" version="opset1">
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 			<output>
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-					<dim>2560</dim>
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 			</output>
 		</layer>
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-					<dim>2560</dim>
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+		<layer id="780" name="Constant_3275" type="Const" version="opset1">
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 			<output>
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-					<dim>2560</dim>
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 				</port>
 			</output>
 		</layer>
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-			<data transpose_a="false" transpose_b="true" />
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 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
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 				</port>
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-					<dim>2560</dim>
-					<dim>2560</dim>
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+				<port id="2" precision="I64">
+					<dim>1</dim>
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+					<dim>1</dim>
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+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
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 					<dim>-1</dim>
 					<dim>-1</dim>
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+					<dim>80</dim>
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 			</output>
 		</layer>
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 			<output>
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 			</output>
 		</layer>
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 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
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-					<dim>2560</dim>
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 			<output>
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 					<dim>-1</dim>
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 		</layer>
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 			<input>
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+		<layer id="797" name="__module.model.gpt_neox.layers.4.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
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+		<layer id="800" name="Constant_40539" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="297559328" size="24" />
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+		</layer>
+		<layer id="801" name="__module.model.gpt_neox.layers.4.attention/aten::view/Reshape_1" type="Reshape" version="opset1">
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 		</layer>
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+		<layer id="802" name="self.model.gpt_neox.layers.4.attention.dense.weight_compressed" type="Const" version="opset1">
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@@ -43901,27 +12273,27 @@
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@@ -43932,8 +12304,8 @@
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+		<layer id="805" name="Constant_36940_compressed" type="Const" version="opset1">
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@@ -43942,7 +12314,7 @@
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-		<layer id="2888" name="Constant_325320" type="Convert" version="opset1">
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@@ -43962,7 +12334,7 @@
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@@ -43977,14 +12349,14 @@
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@@ -43999,14 +12371,14 @@
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+		<layer id="809" name="__module.model.gpt_neox.layers.4.post_attention_layernorm/aten::layer_norm/Multiply" type="Const" version="opset1">
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@@ -44014,7 +12386,7 @@
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+		<layer id="810" name="__module.model.gpt_neox.layers.4.post_attention_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
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@@ -44034,60 +12406,8 @@
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 		</layer>
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-			<data element_type="f16" shape="1, 1, 2560" offset="2308655490" size="5120" />
+		<layer id="811" name="Constant_36941_compressed" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -44096,7 +12416,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2897" name="Constant_325322" type="Convert" version="opset1">
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 			<data destination_type="f32" />
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@@ -44116,7 +12436,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2898" name="__module.model.gpt_neox.layers.13.input_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="813" name="__module.model.gpt_neox.layers.4.post_attention_layernorm/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
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@@ -44125,56 +12445,8 @@
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 				</port>
 				<port id="1" precision="FP32">
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-				<port id="1" precision="FP32">
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+					<dim>1</dim>
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 				</port>
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@@ -44182,21 +12454,21 @@
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 					<dim>-1</dim>
 					<dim>-1</dim>
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 		</layer>
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-			<data element_type="f16" shape="1, 1, 7680" offset="2347982210" size="15360" />
+		<layer id="814" name="Constant_36942_compressed" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
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 			</output>
 		</layer>
-		<layer id="2903" name="Constant_325323" type="Convert" version="opset1">
+		<layer id="815" name="Constant_36942" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -44205,855 +12477,713 @@
 				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
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+					<dim>2560</dim>
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 			<output>
 				<port id="1" precision="FP32">
 					<dim>1</dim>
 					<dim>1</dim>
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+					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2904" name="__module.model.gpt_neox.layers.13.attention.query_key_value/aten::linear/Add" type="Add" version="opset1">
+		<layer id="816" name="__module.model.gpt_neox.layers.4.post_attention_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
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 				<port id="1" precision="FP32">
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 					<dim>1</dim>
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+					<dim>2560</dim>
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 			</input>
 			<output>
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 					<dim>-1</dim>
 					<dim>-1</dim>
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 		</layer>
-		<layer id="2905" name="__module.model.gpt_neox.layers.13.attention/prim::ListConstruct/Concat" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559074" size="32" />
+		<layer id="817" name="self.model.gpt_neox.layers.4.mlp.dense_h_to_4h.weight" type="Const" version="opset1">
+			<data element_type="f16" shape="10240, 2560" offset="940093752" size="52428800" />
+			<output>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.4.mlp.dense_h_to_4h.weight">
+					<dim>10240</dim>
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="818" name="__module.model.gpt_neox.layers.4.mlp.dense_h_to_4h/ov_ext::linear/ConvertLike" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="precise" version="0" />
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>10240</dim>
+					<dim>2560</dim>
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+			</input>
 			<output>
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+				<port id="1" precision="FP32">
+					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
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-			<data special_zero="true" />
+		<layer id="819" name="__module.model.gpt_neox.layers.4.mlp.dense_h_to_4h/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
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+				<port id="1" precision="FP32">
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+					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
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 					<dim>-1</dim>
 					<dim>-1</dim>
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 		</layer>
-		<layer id="2907" name="Constant_298946" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
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+		<layer id="820" name="self.model.gpt_neox.layers.4.mlp.dense_h_to_4h.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="10240" offset="992522552" size="20480" />
 			<output>
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+		<layer id="821" name="__module.model.gpt_neox.layers.4.mlp.dense_h_to_4h/ov_ext::linear/ConvertLike_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="precise" version="0" />
+				<attribute name="decompression" version="0" />
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 			<output>
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-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="822" name="__module.model.gpt_neox.layers.4.mlp.dense_h_to_4h/ov_ext::linear/Add" type="Add" version="opset1">
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 					<dim>-1</dim>
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-				<port id="2" precision="I64">
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 			</input>
 			<output>
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 					<dim>-1</dim>
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 		</layer>
-		<layer id="2912" name="__module.model.gpt_neox.layers.13.attention/aten::permute/Transpose" type="Transpose" version="opset1">
+		<layer id="823" name="__module.model.gpt_neox.layers.4.mlp.act/aten::gelu/Gelu" type="Gelu" version="opset7">
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 					<dim>-1</dim>
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 			<output>
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 			<output>
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 		</layer>
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-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-				<port id="1" precision="I64" />
-			</input>
+		<layer id="845" name="__module.model.gpt_neox.layers.5.attention/prim::ListConstruct" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="297559074" size="32" />
+			<rt_info>
+				<attribute name="precise" version="0" />
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-					<dim>-1</dim>
-					<dim>1</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
+				<port id="0" precision="I64">
+					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2950" name="__module.model.gpt_neox.layers.13.attention/aten::mul/Multiply" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="846" name="__module.model.gpt_neox.layers.5.attention/aten::view/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
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 					<dim>-1</dim>
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-					<dim>-1</dim>
-					<dim>1</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
+				<port id="1" precision="I64">
+					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2297">
+				<port id="2" precision="FP32" names="955,qkv.23">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>32</dim>
+					<dim>240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2951" name="Constant_298981" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="847" name="Constant_3865" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2952" name="Constant_298980" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="848" name="Constant_3867" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="18" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-			<data output_type="i64" />
+		<layer id="849" name="Constant_3869" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="850" name="__module.model.gpt_neox.layers.5.attention/aten::slice/Slice" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>32</dim>
+					<dim>240</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="5" precision="FP32" names="956">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2954" name="__module.model.gpt_neox.layers.13.attention/aten::size/Constant_5" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="258211866" size="4" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="851" name="Constant_3878" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="297559122" size="32" />
 			<output>
-				<port id="0" precision="I32" />
+				<port id="0" precision="I64" names="957">
+					<dim>4</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="2955" name="__module.model.gpt_neox.layers.13.attention/aten::size/Gather_5" type="Gather" version="opset8">
-			<data batch_dims="0" />
+		<layer id="852" name="__module.model.gpt_neox.layers.5.attention/aten::permute/Transpose" type="Transpose" version="opset1">
 			<input>
-				<port id="0" precision="I64">
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="I64">
 					<dim>4</dim>
 				</port>
-				<port id="1" precision="I64" />
-				<port id="2" precision="I32" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="2298,2303" />
+				<port id="2" precision="FP32" names="958,query.11">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="2956" name="__module.model.gpt_neox.layers.13.attention/aten::floor_divide/Divide_1" type="Divide" version="opset1">
-			<data auto_broadcast="numpy" m_pythondiv="true" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
-			</input>
+		<layer id="853" name="Constant_3919" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
-				<port id="2" precision="I64" />
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="2957" name="__module.model.gpt_neox.layers.13.attention/aten::floor_divide/Floor_1" type="Floor" version="opset1">
-			<input>
-				<port id="0" precision="I64" />
-			</input>
+		<layer id="854" name="Constant_3921" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="18" size="8" />
 			<output>
-				<port id="1" precision="I64" names="2300,2301,2305,2306" />
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="2958" name="Constant_337716" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886946" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="855" name="Constant_3923" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2959" name="__module.model.gpt_neox.layers.13.attention/aten::slice/Unsqueeze_17" type="Reshape" version="opset1">
-			<data special_zero="false" />
+		<layer id="856" name="__module.model.gpt_neox.layers.5.attention/aten::slice/Slice_1" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64" />
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
 				</port>
-			</input>
-			<output>
 				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="2960" name="Constant_298979" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="258211866" size="4" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I32">
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
 					<dim>1</dim>
 				</port>
+			</input>
+			<output>
+				<port id="5" precision="FP32" names="965,q.11">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="2961" name="ScatterUpdate_298982" type="ScatterUpdate" version="opset3">
+		<layer id="857" name="__module.model.gpt_neox.layers.5.attention/aten::mul/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="I64">
-					<dim>1</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-				<port id="3" precision="I32">
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
 					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="FP32" names="971">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2962" name="Constant_298985" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297886970" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="858" name="Constant_4077" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559246" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2963" name="Constant_298988" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559170" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="859" name="Constant_4079" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559254" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="860" name="Constant_4081" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2964" name="__module.model.gpt_neox.layers.13.attention/aten::slice/Slice_3" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="861" name="__module.model.gpt_neox.layers.5.attention/aten::slice/Slice_2" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -45062,17 +13192,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="2307,x2.53">
+				<port id="5" precision="FP32" names="981,x2.21">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -45080,8 +13213,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2965" name="Constant_325324_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 1, 1" offset="297887002" size="2" />
+		<layer id="862" name="Constant_36946_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 1, 1" offset="297559262" size="2" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -45091,7 +13224,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2966" name="Constant_325324" type="Convert" version="opset1">
+		<layer id="863" name="Constant_36946" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -45113,7 +13246,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2967" name="__module.model.gpt_neox.layers.13.attention/aten::neg/Multiply" type="Multiply" version="opset1">
+		<layer id="864" name="__module.model.gpt_neox.layers.5.attention/aten::neg/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -45130,7 +13263,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2308">
+				<port id="2" precision="FP32" names="982">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -45138,30 +13271,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2968" name="Constant_299033" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559106" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="865" name="Constant_3974" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2969" name="Constant_299038" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559170" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="866" name="Constant_4018" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559246" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="867" name="Constant_4020" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2970" name="__module.model.gpt_neox.layers.13.attention/aten::slice/Slice_4" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="868" name="__module.model.gpt_neox.layers.5.attention/aten::slice/Slice_3" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -45170,17 +13304,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="2302">
+				<port id="5" precision="FP32" names="976">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -45188,7 +13325,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2971" name="__module.model.gpt_neox.layers.13.attention/aten::cat/Concat" type="Concat" version="opset1">
+		<layer id="869" name="__module.model.gpt_neox.layers.5.attention/aten::cat/Concat" type="Concat" version="opset1">
 			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
@@ -45205,7 +13342,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2310">
+				<port id="2" precision="FP32" names="984">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -45213,61 +13350,103 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2972" name="self.model.gpt_neox.layers.13.attention.rotary_emb.sin_cached_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="2048, 80" offset="297887004" size="327680" />
+		<layer id="870" name="__module.model.gpt_neox.layers.5.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.13.attention.rotary_emb.sin_cached">
-					<dim>2048</dim>
+				<port id="2" precision="FP32" names="985">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2973" name="self.model.gpt_neox.layers.13.attention.rotary_emb.sin_cached" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
+		<layer id="871" name="__module.model.gpt_neox.layers.5.attention/aten::add/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="FP16">
-					<dim>2048</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
-					<dim>2048</dim>
+				<port id="2" precision="FP32" names="1004,986">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2974" name="__module.model.gpt_neox.layers.13.attention.rotary_emb/aten::slice/Unsqueeze_4" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="2" size="8" />
+		<layer id="872" name="Constant_52222_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="" offset="0" size="2" />
+			<output>
+				<port id="0" precision="FP16" />
+			</output>
+		</layer>
+		<layer id="873" name="Constant_52222" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="precise" version="0" />
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16" />
+			</input>
+			<output>
+				<port id="1" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="874" name="Constant_52215" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="10" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2975" name="__module.model.gpt_neox.layers.13.attention.rotary_emb/aten::slice/Unsqueeze_6" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886946" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="875" name="Constant_52217" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="876" name="Constant_52219" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="18" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2976" name="__module.model.gpt_neox.layers.13.attention.rotary_emb/aten::slice/Slice_1" type="StridedSlice" version="opset1">
-			<data begin_mask="0" end_mask="0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="877" name="Concat_52220" type="Concat" version="opset1">
+			<data axis="0" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>2048</dim>
-					<dim>80</dim>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -45280,59 +13459,55 @@
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="2287,2290,sin.53">
-					<dim>-1</dim>
-					<dim>80</dim>
+				<port id="4" precision="I64">
+					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2977" name="Constant_38308" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="258211866" size="4" />
-			<output>
-				<port id="0" precision="I32" />
-			</output>
-		</layer>
-		<layer id="2978" name="__module.model.gpt_neox.layers.13.attention/aten::index/Gather_1" type="Gather" version="opset8">
-			<data batch_dims="0" />
+		<layer id="878" name="Broadcast_52223" type="Broadcast" version="opset3">
+			<data mode="numpy" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-				<port id="1" precision="I32">
-					<dim>-1</dim>
-					<dim>-1</dim>
+				<port id="0" precision="FP32" />
+				<port id="1" precision="I64">
+					<dim>4</dim>
 				</port>
-				<port id="2" precision="I32" />
 			</input>
 			<output>
-				<port id="3" precision="FP32" names="2295">
-					<dim>-1</dim>
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>0</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2979" name="__module.model.gpt_neox.layers.13.attention/aten::unsqueeze/Unsqueeze_1" type="Unsqueeze" version="opset1">
+		<layer id="879" name="ReadValue_49842" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.5.keypresent.5.key" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>0</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2296,sin.55">
+				<port id="1" precision="FP32" names="past_key_values.5.key">
 					<dim>-1</dim>
-					<dim>1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2980" name="__module.model.gpt_neox.layers.13.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="880" name="Constant_47359" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="2" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="881" name="Gather_47360" type="Gather" version="opset8">
+			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -45340,15 +13515,13 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>1</dim>
+				<port id="1" precision="I32">
 					<dim>-1</dim>
-					<dim>80</dim>
 				</port>
+				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2311">
+				<port id="3" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -45356,40 +13529,69 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2981" name="__module.model.gpt_neox.layers.13.attention/aten::add/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="882" name="Constant_3883" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="18" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="883" name="Constant_3885" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559264" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="884" name="Constant_3887" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="885" name="__module.model.gpt_neox.layers.5.attention/aten::slice/Slice_5" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-				<port id="1" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>240</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2312,2330,2340,query.81,query.83">
+				<port id="5" precision="FP32" names="959">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2982" name="Constant_7789" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559202" size="32" />
+		<layer id="886" name="Constant_3896" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="297559122" size="32" />
 			<output>
-				<port id="0" precision="I64" names="2268">
+				<port id="0" precision="I64" names="960">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2983" name="__module.model.gpt_neox.layers.13.attention/aten::permute/Transpose_1" type="Transpose" version="opset1">
+		<layer id="887" name="__module.model.gpt_neox.layers.5.attention/aten::permute/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -45402,7 +13604,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2269,key.79">
+				<port id="2" precision="FP32" names="961,key.21">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -45410,41 +13612,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2984" name="Constant_299084" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559106" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="888" name="Constant_3939" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2985" name="Constant_299087" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559138" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="889" name="Constant_3941" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="18" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2986" name="Constant_299090" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559170" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="890" name="Constant_3943" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2987" name="__module.model.gpt_neox.layers.13.attention/aten::slice/Slice_6" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="891" name="__module.model.gpt_neox.layers.5.attention/aten::slice/Slice_6" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -45453,17 +13645,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="2275,k.27">
+				<port id="5" precision="FP32" names="967,k.11">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -45471,7 +13666,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2988" name="__module.model.gpt_neox.layers.13.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
+		<layer id="892" name="__module.model.gpt_neox.layers.5.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -45488,173 +13683,39 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2313">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2989" name="Constant_299094" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559106" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2990" name="Constant_299093" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886962" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2991" name="__module.model.gpt_neox.layers.13.attention/aten::size/ShapeOf_7" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2992" name="__module.model.gpt_neox.layers.13.attention/aten::size/Constant_7" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="258211866" size="4" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I32" />
-			</output>
-		</layer>
-		<layer id="2993" name="__module.model.gpt_neox.layers.13.attention/aten::size/Gather_7" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="1" precision="I64" />
-				<port id="2" precision="I32" />
-			</input>
-			<output>
-				<port id="3" precision="I64" names="2314,2319" />
-			</output>
-		</layer>
-		<layer id="2994" name="__module.model.gpt_neox.layers.13.attention/aten::floor_divide/Divide_3" type="Divide" version="opset1">
-			<data auto_broadcast="numpy" m_pythondiv="true" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
-			</input>
-			<output>
-				<port id="2" precision="I64" />
-			</output>
-		</layer>
-		<layer id="2995" name="__module.model.gpt_neox.layers.13.attention/aten::floor_divide/Floor_3" type="Floor" version="opset1">
-			<input>
-				<port id="0" precision="I64" />
-			</input>
-			<output>
-				<port id="1" precision="I64" names="2316,2317,2321,2322" />
-			</output>
-		</layer>
-		<layer id="2996" name="Constant_337718" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886946" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2997" name="__module.model.gpt_neox.layers.13.attention/aten::slice/Unsqueeze_33" type="Reshape" version="opset1">
-			<data special_zero="false" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="I64">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2998" name="Constant_299092" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="258211866" size="4" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I32">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2999" name="ScatterUpdate_299095" type="ScatterUpdate" version="opset3">
-			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="I32">
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="987">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-			</input>
+			</output>
+		</layer>
+		<layer id="893" name="Constant_4220" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559246" size="8" />
 			<output>
-				<port id="4" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3000" name="Constant_299098" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297886970" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="894" name="Constant_4222" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559254" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3001" name="Constant_299101" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559170" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="895" name="Constant_4224" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3002" name="__module.model.gpt_neox.layers.13.attention/aten::slice/Slice_7" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="896" name="__module.model.gpt_neox.layers.5.attention/aten::slice/Slice_7" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -45663,17 +13724,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="2323,x2.55">
+				<port id="5" precision="FP32" names="997,x2.23">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -45681,8 +13745,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3003" name="Constant_325325_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 1, 1" offset="297887002" size="2" />
+		<layer id="897" name="Constant_36947_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 1, 1" offset="297559262" size="2" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -45692,7 +13756,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3004" name="Constant_325325" type="Convert" version="opset1">
+		<layer id="898" name="Constant_36947" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -45714,7 +13778,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3005" name="__module.model.gpt_neox.layers.13.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
+		<layer id="899" name="__module.model.gpt_neox.layers.5.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -45731,7 +13795,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2324">
+				<port id="2" precision="FP32" names="998">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -45739,30 +13803,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3006" name="Constant_299146" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559106" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="900" name="Constant_4117" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3007" name="Constant_299151" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559170" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="901" name="Constant_4161" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559246" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="902" name="Constant_4163" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3008" name="__module.model.gpt_neox.layers.13.attention/aten::slice/Slice_8" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="903" name="__module.model.gpt_neox.layers.5.attention/aten::slice/Slice_8" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -45771,17 +13836,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="2318">
+				<port id="5" precision="FP32" names="992">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -45789,7 +13857,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3009" name="__module.model.gpt_neox.layers.13.attention/aten::cat/Concat_2" type="Concat" version="opset1">
+		<layer id="904" name="__module.model.gpt_neox.layers.5.attention/aten::cat/Concat_2" type="Concat" version="opset1">
 			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
@@ -45806,7 +13874,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2326">
+				<port id="2" precision="FP32" names="1000">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -45814,7 +13882,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3010" name="__module.model.gpt_neox.layers.13.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
+		<layer id="905" name="__module.model.gpt_neox.layers.5.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -45831,7 +13899,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2327">
+				<port id="2" precision="FP32" names="1001">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -45839,7 +13907,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3011" name="__module.model.gpt_neox.layers.13.attention/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="906" name="__module.model.gpt_neox.layers.5.attention/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -45856,7 +13924,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2328,2332">
+				<port id="2" precision="FP32" names="1002,1006">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -45864,7 +13932,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3012" name="__module.model.gpt_neox.layers.13.attention/aten::to/Convert_1" type="Concat" version="opset1">
+		<layer id="907" name="__module.model.gpt_neox.layers.5.attention/aten::cat/Concat_4" type="Concat" version="opset1">
 			<data axis="-2" />
 			<input>
 				<port id="0" precision="FP32">
@@ -45881,7 +13949,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="present.13.key">
+				<port id="2" precision="FP32" names="present.5.key">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -45889,13 +13957,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3013" name="Constant_432989_compressed" type="Const" version="opset1">
+		<layer id="908" name="Constant_52234_compressed" type="Const" version="opset1">
 			<data element_type="f16" shape="" offset="0" size="2" />
 			<output>
 				<port id="0" precision="FP16" />
 			</output>
 		</layer>
-		<layer id="3014" name="Constant_432989" type="Convert" version="opset1">
+		<layer id="909" name="Constant_52234" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -45907,7 +13975,7 @@
 				<port id="1" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="3015" name="Constant_432982" type="Const" version="opset1">
+		<layer id="910" name="Constant_52227" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="10" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -45915,7 +13983,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3016" name="Constant_432984" type="Const" version="opset1">
+		<layer id="911" name="Constant_52229" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -45923,7 +13991,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3017" name="Constant_432986" type="Const" version="opset1">
+		<layer id="912" name="Constant_52231" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="18" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -45931,7 +13999,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3018" name="Concat_432987" type="Concat" version="opset1">
+		<layer id="913" name="Concat_52232" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -45953,7 +14021,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3019" name="Broadcast_432990" type="Broadcast" version="opset3">
+		<layer id="914" name="Broadcast_52235" type="Broadcast" version="opset3">
 			<data mode="numpy" />
 			<input>
 				<port id="0" precision="FP32" />
@@ -45970,8 +14038,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3020" name="ReadValue_417304" type="ReadValue" version="opset6">
-			<data variable_id="past_key_values.13.valuepresent.13.value" variable_type="f32" variable_shape="?,32,?,80" />
+		<layer id="915" name="ReadValue_49844" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.5.valuepresent.5.value" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -45981,7 +14049,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="past_key_values.13.value">
+				<port id="1" precision="FP32" names="past_key_values.5.value">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -45989,13 +14057,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3021" name="Constant_401971" type="Const" version="opset1">
+		<layer id="916" name="Constant_47362" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="3022" name="Gather_401972" type="Gather" version="opset8">
+		<layer id="917" name="Gather_47363" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
@@ -46018,41 +14086,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3023" name="Constant_299196" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297886914" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="918" name="Constant_3901" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559264" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3024" name="Constant_299199" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297886970" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="919" name="Constant_3903" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559254" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3025" name="Constant_299202" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559170" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="920" name="Constant_3905" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3026" name="__module.model.gpt_neox.layers.13.attention/aten::slice/Slice_10" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="921" name="__module.model.gpt_neox.layers.5.attention/aten::slice/Slice_10" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -46061,17 +14119,20 @@
 					<dim>240</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="2270">
+				<port id="5" precision="FP32" names="962">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
@@ -46079,15 +14140,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3027" name="Constant_7803" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559202" size="32" />
+		<layer id="922" name="Constant_3914" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="297559122" size="32" />
 			<output>
-				<port id="0" precision="I64" names="2271">
+				<port id="0" precision="I64" names="963">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3028" name="__module.model.gpt_neox.layers.13.attention/aten::permute/Transpose_2" type="Transpose" version="opset1">
+		<layer id="923" name="__module.model.gpt_neox.layers.5.attention/aten::permute/Transpose_2" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -46100,7 +14161,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2272">
+				<port id="2" precision="FP32" names="964">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -46108,7 +14169,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3029" name="__module.model.gpt_neox.layers.13.attention/aten::cat/Concat_5" type="Concat" version="opset1">
+		<layer id="924" name="__module.model.gpt_neox.layers.5.attention/aten::cat/Concat_5" type="Concat" version="opset1">
 			<data axis="-2" />
 			<input>
 				<port id="0" precision="FP32">
@@ -46125,7 +14186,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="present.13.value">
+				<port id="2" precision="FP32" names="present.5.value">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -46133,40 +14194,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3030" name="__module.model.gpt_neox.layers.13.attention/aten::slice/Slice_11" type="Const" version="opset1">
-			<data element_type="boolean" shape="1, 1, 2048, 2048" offset="298214684" size="4194304" />
-			<output>
-				<port id="0" precision="BOOL" names="2349">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>2048</dim>
-					<dim>2048</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3031" name="Constant_299206" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="302408988" size="24" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I64">
-					<dim>3</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3032" name="Constant_299205" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886954" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="925" name="Constant_4296" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3033" name="ShapeOf_339102" type="ShapeOf" version="opset3">
+		<layer id="926" name="ShapeOf_38564" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -46182,302 +14218,22 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3034" name="Constant_339103" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="297886954" size="8" />
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@@ -46485,136 +14241,22 @@
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@@ -46623,27 +14265,21 @@
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 			</output>
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@@ -46655,46 +14291,13 @@
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+				<port id="3" precision="I64">
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+		<layer id="934" name="Add_38572" type="Add" version="opset1">
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 				<port id="0" precision="I64">
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@@ -46702,37 +14305,22 @@
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+		<layer id="935" name="Constant_4299" type="Const" version="opset1">
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 		</layer>
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+		<layer id="936" name="__module.model.gpt_neox.layers.5.attention/aten::slice/Slice_14" type="Slice" version="opset8">
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@@ -46741,11 +14329,20 @@
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 				<port id="1" precision="I64">
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+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2356">
+				<port id="5" precision="FP32" names="1015">
 					<dim>-1</dim>
 					<dim>1</dim>
 					<dim>-1</dim>
@@ -46753,7 +14350,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3075" name="__module.model.gpt_neox.layers.13.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+		<layer id="937" name="__module.model.gpt_neox.layers.5.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
 			<data causal="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -46782,7 +14379,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="2357,2358,sdpa_result.27,tensor.53">
+				<port id="4" precision="FP32" names="1016,attn_output.41">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -46790,15 +14387,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3076" name="Constant_8244" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559202" size="32" />
+		<layer id="938" name="__module.model.gpt_neox.layers.5.attention/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="297559312" size="16" />
 			<output>
-				<port id="0" precision="I64" names="2359">
+				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3077" name="__module.model.gpt_neox.layers.13.attention/aten::permute/Transpose_3" type="Transpose" version="opset1">
+		<layer id="939" name="__module.model.gpt_neox.layers.5.attention/aten::transpose/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -46806,12 +14403,12 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2360">
+				<port id="2" precision="FP32" names="1017">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
@@ -46819,8 +14416,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3078" name="__module.model.gpt_neox.layers.13.attention/prim::ListConstruct/Concat_2" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="302409066" size="24" />
+		<layer id="940" name="Constant_40540" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="297559328" size="24" />
 			<rt_info>
 				<attribute name="precise" version="0" />
 			</rt_info>
@@ -46830,7 +14427,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3079" name="__module.model.gpt_neox.layers.13.attention/aten::view/Reshape_1" type="Reshape" version="opset1">
+		<layer id="941" name="__module.model.gpt_neox.layers.5.attention/aten::view/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -46844,23 +14441,23 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2365">
+				<port id="2" precision="FP32" names="1020">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3080" name="self.model.gpt_neox.layers.13.attention.dense.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="2560, 2560" offset="2347997570" size="13107200" />
+		<layer id="942" name="self.model.gpt_neox.layers.5.attention.dense.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="2560, 2560" offset="1084324152" size="13107200" />
 			<output>
-				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.13.attention.dense.weight">
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.5.attention.dense.weight">
 					<dim>2560</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3081" name="self.model.gpt_neox.layers.13.attention.dense.weight" type="Convert" version="opset1">
+		<layer id="943" name="self.model.gpt_neox.layers.5.attention.dense.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -46878,7 +14475,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3082" name="__module.model.gpt_neox.layers.13.attention.dense/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="944" name="__module.model.gpt_neox.layers.5.attention.dense/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -46899,8 +14496,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3083" name="Constant_325326_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 2560" offset="2361104770" size="5120" />
+		<layer id="945" name="Constant_36948_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 2560" offset="1097431352" size="5120" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -46909,7 +14506,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3084" name="Constant_325326" type="Convert" version="opset1">
+		<layer id="946" name="Constant_36948" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -46929,7 +14526,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3085" name="__module.model.gpt_neox.layers.13.attention.dense/aten::linear/Add" type="Add" version="opset1">
+		<layer id="947" name="__module.model.gpt_neox.layers.5.attention.dense/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -46944,14 +14541,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2368,2370,input.55">
+				<port id="2" precision="FP32" names="1023,1025,input.21">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3086" name="__module.model.gpt_neox.layers.13/aten::add/Add" type="Add" version="opset1">
+		<layer id="948" name="__module.model.gpt_neox.layers.5/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -46966,14 +14563,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2374,attn_output.55">
+				<port id="2" precision="FP32" names="1029,attn_output.47">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3087" name="__module.model.gpt_neox.layers.13.post_attention_layernorm/aten::layer_norm/Constant" type="Const" version="opset1">
+		<layer id="949" name="__module.model.gpt_neox.layers.5.post_attention_layernorm/aten::layer_norm/Multiply" type="Const" version="opset1">
 			<data element_type="i32" shape="1" offset="258211870" size="4" />
 			<output>
 				<port id="0" precision="I32">
@@ -46981,7 +14578,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3088" name="__module.model.gpt_neox.layers.13.post_attention_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
+		<layer id="950" name="__module.model.gpt_neox.layers.5.post_attention_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -47001,8 +14598,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3089" name="Constant_325327_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 2560" offset="2361109890" size="5120" />
+		<layer id="951" name="Constant_36949_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 2560" offset="1097436472" size="5120" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -47011,7 +14608,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3090" name="Constant_325327" type="Convert" version="opset1">
+		<layer id="952" name="Constant_36949" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -47031,7 +14628,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3091" name="__module.model.gpt_neox.layers.13.post_attention_layernorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
+		<layer id="953" name="__module.model.gpt_neox.layers.5.post_attention_layernorm/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -47053,8 +14650,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3092" name="Constant_325328_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 2560" offset="2361115010" size="5120" />
+		<layer id="954" name="Constant_36950_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 2560" offset="1097441592" size="5120" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -47063,7 +14660,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3093" name="Constant_325328" type="Convert" version="opset1">
+		<layer id="955" name="Constant_36950" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -47083,7 +14680,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3094" name="__module.model.gpt_neox.layers.13.post_attention_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="956" name="__module.model.gpt_neox.layers.5.post_attention_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -47098,23 +14695,23 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2378">
+				<port id="2" precision="FP32" names="1033">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3095" name="self.model.gpt_neox.layers.13.mlp.dense_h_to_4h.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="10240, 2560" offset="2361120130" size="52428800" />
+		<layer id="957" name="self.model.gpt_neox.layers.5.mlp.dense_h_to_4h.weight" type="Const" version="opset1">
+			<data element_type="f16" shape="10240, 2560" offset="1097446712" size="52428800" />
 			<output>
-				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.13.mlp.dense_h_to_4h.weight">
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.5.mlp.dense_h_to_4h.weight">
 					<dim>10240</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3096" name="self.model.gpt_neox.layers.13.mlp.dense_h_to_4h.weight" type="Convert" version="opset1">
+		<layer id="958" name="__module.model.gpt_neox.layers.5.mlp.dense_h_to_4h/ov_ext::linear/ConvertLike" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -47132,7 +14729,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3097" name="__module.model.gpt_neox.layers.13.mlp.dense_h_to_4h/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="959" name="__module.model.gpt_neox.layers.5.mlp.dense_h_to_4h/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -47153,37 +14750,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3098" name="Constant_325329_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 10240" offset="2413548930" size="20480" />
+		<layer id="960" name="self.model.gpt_neox.layers.5.mlp.dense_h_to_4h.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="10240" offset="1149875512" size="20480" />
 			<output>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.5.mlp.dense_h_to_4h.bias">
 					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3099" name="Constant_325329" type="Convert" version="opset1">
+		<layer id="961" name="__module.model.gpt_neox.layers.5.mlp.dense_h_to_4h/ov_ext::linear/ConvertLike_1" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>10240</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3100" name="__module.model.gpt_neox.layers.13.mlp.dense_h_to_4h/aten::linear/Add" type="Add" version="opset1">
+		<layer id="962" name="__module.model.gpt_neox.layers.5.mlp.dense_h_to_4h/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -47192,20 +14783,18 @@
 					<dim>10240</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>10240</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2383">
+				<port id="2" precision="FP32" names="1038">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3101" name="__module.model.gpt_neox.layers.13.mlp.act/aten::gelu/Gelu" type="Gelu" version="opset7">
+		<layer id="963" name="__module.model.gpt_neox.layers.5.mlp.act/aten::gelu/Gelu" type="Gelu" version="opset7">
 			<data approximation_mode="ERF" />
 			<input>
 				<port id="0" precision="FP32">
@@ -47215,23 +14804,23 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="2384">
+				<port id="1" precision="FP32" names="1039">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3102" name="self.model.gpt_neox.layers.13.mlp.dense_4h_to_h.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="2560, 10240" offset="2413569410" size="52428800" />
+		<layer id="964" name="self.model.gpt_neox.layers.5.mlp.dense_4h_to_h.weight" type="Const" version="opset1">
+			<data element_type="f16" shape="2560, 10240" offset="1149895992" size="52428800" />
 			<output>
-				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.13.mlp.dense_4h_to_h.weight">
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.5.mlp.dense_4h_to_h.weight">
 					<dim>2560</dim>
 					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3103" name="self.model.gpt_neox.layers.13.mlp.dense_4h_to_h.weight" type="Convert" version="opset1">
+		<layer id="965" name="__module.model.gpt_neox.layers.5.mlp.dense_4h_to_h/ov_ext::linear/ConvertLike" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -47249,7 +14838,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3104" name="__module.model.gpt_neox.layers.13.mlp.dense_4h_to_h/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="966" name="__module.model.gpt_neox.layers.5.mlp.dense_4h_to_h/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -47270,37 +14859,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3105" name="Constant_325330_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 2560" offset="2465998210" size="5120" />
+		<layer id="967" name="self.model.gpt_neox.layers.5.mlp.dense_4h_to_h.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="2560" offset="1202324792" size="5120" />
 			<output>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.5.mlp.dense_4h_to_h.bias">
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3106" name="Constant_325330" type="Convert" version="opset1">
+		<layer id="968" name="__module.model.gpt_neox.layers.5.mlp.dense_4h_to_h/ov_ext::linear/ConvertLike_1" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
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 					<dim>-1</dim>
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@@ -48233,30 +15272,31 @@
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+		<layer id="995" name="Constant_4553" type="Const" version="opset1">
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+		<layer id="996" name="__module.model.gpt_neox.layers.6.attention/aten::slice/Slice_1" type="Slice" version="opset8">
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@@ -48264,134 +15304,78 @@
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 				<port id="1" precision="I64">
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-		<layer id="3174" name="__module.model.gpt_neox.layers.14.attention/aten::floor_divide/Divide_1" type="Divide" version="opset1">
-			<data auto_broadcast="numpy" m_pythondiv="true" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
-			</input>
-			<output>
-				<port id="2" precision="I64" />
-			</output>
-		</layer>
-		<layer id="3175" name="__module.model.gpt_neox.layers.14.attention/aten::floor_divide/Floor_1" type="Floor" version="opset1">
-			<input>
-				<port id="0" precision="I64" />
 			</input>
 			<output>
-				<port id="1" precision="I64" names="2449,2450,2454,2455" />
-			</output>
-		</layer>
-		<layer id="3176" name="Constant_337726" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886946" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
+				<port id="5" precision="FP32" names="1077,q.13">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3177" name="__module.model.gpt_neox.layers.14.attention/aten::slice/Unsqueeze_17" type="Reshape" version="opset1">
-			<data special_zero="false" />
+		<layer id="997" name="__module.model.gpt_neox.layers.6.attention/aten::mul/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
 					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64">
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="1083">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3178" name="Constant_299330" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="258211866" size="4" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="998" name="Constant_4707" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559246" size="8" />
 			<output>
-				<port id="0" precision="I32">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3179" name="ScatterUpdate_299333" type="ScatterUpdate" version="opset3">
-			<input>
 				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="4" precision="I64">
-					<dim>4</dim>
-				</port>
 			</output>
 		</layer>
-		<layer id="3180" name="Constant_299336" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297886970" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="999" name="Constant_4709" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559254" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3181" name="Constant_299339" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559170" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1000" name="Constant_4711" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3182" name="__module.model.gpt_neox.layers.14.attention/aten::slice/Slice_3" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1001" name="__module.model.gpt_neox.layers.6.attention/aten::slice/Slice_2" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -48400,17 +15384,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="2456,x2.57">
+				<port id="5" precision="FP32" names="1093,x2.25">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -48418,8 +15405,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3183" name="Constant_325334_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 1, 1" offset="297887002" size="2" />
+		<layer id="1002" name="Constant_36954_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 1, 1" offset="297559262" size="2" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -48429,7 +15416,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3184" name="Constant_325334" type="Convert" version="opset1">
+		<layer id="1003" name="Constant_36954" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -48451,7 +15438,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3185" name="__module.model.gpt_neox.layers.14.attention/aten::neg/Multiply" type="Multiply" version="opset1">
+		<layer id="1004" name="__module.model.gpt_neox.layers.6.attention/aten::neg/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -48468,7 +15455,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2457">
+				<port id="2" precision="FP32" names="1094">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -48476,30 +15463,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3186" name="Constant_299384" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559106" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1005" name="Constant_4604" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3187" name="Constant_299389" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559170" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1006" name="Constant_4648" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559246" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1007" name="Constant_4650" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3188" name="__module.model.gpt_neox.layers.14.attention/aten::slice/Slice_4" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1008" name="__module.model.gpt_neox.layers.6.attention/aten::slice/Slice_3" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -48508,17 +15496,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="2451">
+				<port id="5" precision="FP32" names="1088">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -48526,7 +15517,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3189" name="__module.model.gpt_neox.layers.14.attention/aten::cat/Concat" type="Concat" version="opset1">
+		<layer id="1009" name="__module.model.gpt_neox.layers.6.attention/aten::cat/Concat" type="Concat" version="opset1">
 			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
@@ -48543,7 +15534,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2459">
+				<port id="2" precision="FP32" names="1096">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -48551,61 +15542,103 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3190" name="self.model.gpt_neox.layers.14.attention.rotary_emb.sin_cached_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="2048, 80" offset="297887004" size="327680" />
+		<layer id="1010" name="__module.model.gpt_neox.layers.6.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.14.attention.rotary_emb.sin_cached">
-					<dim>2048</dim>
+				<port id="2" precision="FP32" names="1097">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3191" name="self.model.gpt_neox.layers.14.attention.rotary_emb.sin_cached" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
+		<layer id="1011" name="__module.model.gpt_neox.layers.6.attention/aten::add/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="FP16">
-					<dim>2048</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
-					<dim>2048</dim>
+				<port id="2" precision="FP32" names="1098,1116">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3192" name="__module.model.gpt_neox.layers.14.attention.rotary_emb/aten::slice/Unsqueeze_4" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="2" size="8" />
+		<layer id="1012" name="Constant_52246_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="" offset="0" size="2" />
+			<output>
+				<port id="0" precision="FP16" />
+			</output>
+		</layer>
+		<layer id="1013" name="Constant_52246" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="precise" version="0" />
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16" />
+			</input>
+			<output>
+				<port id="1" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="1014" name="Constant_52239" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="10" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3193" name="__module.model.gpt_neox.layers.14.attention.rotary_emb/aten::slice/Unsqueeze_6" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886946" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1015" name="Constant_52241" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1016" name="Constant_52243" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="18" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3194" name="__module.model.gpt_neox.layers.14.attention.rotary_emb/aten::slice/Slice_1" type="StridedSlice" version="opset1">
-			<data begin_mask="0" end_mask="0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1017" name="Concat_52244" type="Concat" version="opset1">
+			<data axis="0" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>2048</dim>
-					<dim>80</dim>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -48618,59 +15651,55 @@
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="2436,2439,sin.57">
-					<dim>-1</dim>
-					<dim>80</dim>
+				<port id="4" precision="I64">
+					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3195" name="Constant_38314" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="258211866" size="4" />
-			<output>
-				<port id="0" precision="I32" />
-			</output>
-		</layer>
-		<layer id="3196" name="__module.model.gpt_neox.layers.14.attention/aten::index/Gather_1" type="Gather" version="opset8">
-			<data batch_dims="0" />
+		<layer id="1018" name="Broadcast_52247" type="Broadcast" version="opset3">
+			<data mode="numpy" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-				<port id="1" precision="I32">
-					<dim>-1</dim>
-					<dim>-1</dim>
+				<port id="0" precision="FP32" />
+				<port id="1" precision="I64">
+					<dim>4</dim>
 				</port>
-				<port id="2" precision="I32" />
 			</input>
 			<output>
-				<port id="3" precision="FP32" names="2444">
-					<dim>-1</dim>
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>0</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3197" name="__module.model.gpt_neox.layers.14.attention/aten::unsqueeze/Unsqueeze_1" type="Unsqueeze" version="opset1">
+		<layer id="1019" name="ReadValue_49846" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.6.keypresent.6.key" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>0</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2445,sin.59">
+				<port id="1" precision="FP32" names="past_key_values.6.key">
 					<dim>-1</dim>
-					<dim>1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3198" name="__module.model.gpt_neox.layers.14.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="1020" name="Constant_47365" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="2" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="1021" name="Gather_47366" type="Gather" version="opset8">
+			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -48678,15 +15707,13 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>1</dim>
+				<port id="1" precision="I32">
 					<dim>-1</dim>
-					<dim>80</dim>
 				</port>
+				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2460">
+				<port id="3" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -48694,40 +15721,69 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3199" name="__module.model.gpt_neox.layers.14.attention/aten::add/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="1022" name="Constant_4513" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="18" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1023" name="Constant_4515" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559264" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1024" name="Constant_4517" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1025" name="__module.model.gpt_neox.layers.6.attention/aten::slice/Slice_5" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
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-				<port id="1" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>240</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2461,2479,2489,query.87,query.89">
+				<port id="5" precision="FP32" names="1071">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3200" name="Constant_8370" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559202" size="32" />
+		<layer id="1026" name="Constant_4526" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="297559122" size="32" />
 			<output>
-				<port id="0" precision="I64" names="2417">
+				<port id="0" precision="I64" names="1072">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3201" name="__module.model.gpt_neox.layers.14.attention/aten::permute/Transpose_1" type="Transpose" version="opset1">
+		<layer id="1027" name="__module.model.gpt_neox.layers.6.attention/aten::permute/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -48740,7 +15796,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2418,key.85">
+				<port id="2" precision="FP32" names="1073,key.25">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -48748,41 +15804,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3202" name="Constant_299435" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559106" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1028" name="Constant_4569" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3203" name="Constant_299438" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559138" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1029" name="Constant_4571" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="18" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3204" name="Constant_299441" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559170" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1030" name="Constant_4573" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3205" name="__module.model.gpt_neox.layers.14.attention/aten::slice/Slice_6" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1031" name="__module.model.gpt_neox.layers.6.attention/aten::slice/Slice_6" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -48791,17 +15837,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="2424,k.29">
+				<port id="5" precision="FP32" names="1079,k.13">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -48809,7 +15858,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3206" name="__module.model.gpt_neox.layers.14.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
+		<layer id="1032" name="__module.model.gpt_neox.layers.6.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -48826,7 +15875,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2462">
+				<port id="2" precision="FP32" names="1099">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -48834,165 +15883,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3207" name="Constant_299445" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559106" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3208" name="Constant_299444" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886962" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1033" name="Constant_4850" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559246" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3209" name="__module.model.gpt_neox.layers.14.attention/aten::size/ShapeOf_7" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3210" name="__module.model.gpt_neox.layers.14.attention/aten::size/Constant_7" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="258211866" size="4" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I32" />
-			</output>
-		</layer>
-		<layer id="3211" name="__module.model.gpt_neox.layers.14.attention/aten::size/Gather_7" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="1" precision="I64" />
-				<port id="2" precision="I32" />
-			</input>
-			<output>
-				<port id="3" precision="I64" names="2463,2468" />
-			</output>
-		</layer>
-		<layer id="3212" name="__module.model.gpt_neox.layers.14.attention/aten::floor_divide/Divide_3" type="Divide" version="opset1">
-			<data auto_broadcast="numpy" m_pythondiv="true" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
-			</input>
-			<output>
-				<port id="2" precision="I64" />
-			</output>
-		</layer>
-		<layer id="3213" name="__module.model.gpt_neox.layers.14.attention/aten::floor_divide/Floor_3" type="Floor" version="opset1">
-			<input>
-				<port id="0" precision="I64" />
-			</input>
-			<output>
-				<port id="1" precision="I64" names="2465,2466,2470,2471" />
-			</output>
-		</layer>
-		<layer id="3214" name="Constant_337728" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886946" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1034" name="Constant_4852" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559254" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3215" name="__module.model.gpt_neox.layers.14.attention/aten::slice/Unsqueeze_33" type="Reshape" version="opset1">
-			<data special_zero="false" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="I64">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3216" name="Constant_299443" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="258211866" size="4" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1035" name="Constant_4854" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
 			<output>
-				<port id="0" precision="I32">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3217" name="ScatterUpdate_299446" type="ScatterUpdate" version="opset3">
-			<input>
 				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="4" precision="I64">
-					<dim>4</dim>
-				</port>
 			</output>
 		</layer>
-		<layer id="3218" name="Constant_299449" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297886970" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3219" name="Constant_299452" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559170" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3220" name="__module.model.gpt_neox.layers.14.attention/aten::slice/Slice_7" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1036" name="__module.model.gpt_neox.layers.6.attention/aten::slice/Slice_7" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -49001,17 +15916,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="2472,x2.59">
+				<port id="5" precision="FP32" names="1109,x2.27">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -49019,8 +15937,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3221" name="Constant_325335_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 1, 1" offset="297887002" size="2" />
+		<layer id="1037" name="Constant_36955_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 1, 1" offset="297559262" size="2" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -49030,7 +15948,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3222" name="Constant_325335" type="Convert" version="opset1">
+		<layer id="1038" name="Constant_36955" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -49052,7 +15970,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3223" name="__module.model.gpt_neox.layers.14.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
+		<layer id="1039" name="__module.model.gpt_neox.layers.6.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -49069,7 +15987,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2473">
+				<port id="2" precision="FP32" names="1110">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -49077,30 +15995,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3224" name="Constant_299497" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559106" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1040" name="Constant_4747" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3225" name="Constant_299502" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559170" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1041" name="Constant_4791" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559246" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1042" name="Constant_4793" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3226" name="__module.model.gpt_neox.layers.14.attention/aten::slice/Slice_8" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1043" name="__module.model.gpt_neox.layers.6.attention/aten::slice/Slice_8" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -49109,17 +16028,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="2467">
+				<port id="5" precision="FP32" names="1104">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -49127,7 +16049,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3227" name="__module.model.gpt_neox.layers.14.attention/aten::cat/Concat_2" type="Concat" version="opset1">
+		<layer id="1044" name="__module.model.gpt_neox.layers.6.attention/aten::cat/Concat_2" type="Concat" version="opset1">
 			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
@@ -49144,7 +16066,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2475">
+				<port id="2" precision="FP32" names="1112">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -49152,7 +16074,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3228" name="__module.model.gpt_neox.layers.14.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
+		<layer id="1045" name="__module.model.gpt_neox.layers.6.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -49169,7 +16091,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2476">
+				<port id="2" precision="FP32" names="1113">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -49177,7 +16099,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3229" name="__module.model.gpt_neox.layers.14.attention/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="1046" name="__module.model.gpt_neox.layers.6.attention/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -49194,7 +16116,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2477,2481">
+				<port id="2" precision="FP32" names="1114,1118">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -49202,7 +16124,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3230" name="__module.model.gpt_neox.layers.14.attention/aten::to/Convert_1" type="Concat" version="opset1">
+		<layer id="1047" name="__module.model.gpt_neox.layers.6.attention/aten::cat/Concat_4" type="Concat" version="opset1">
 			<data axis="-2" />
 			<input>
 				<port id="0" precision="FP32">
@@ -49219,7 +16141,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="present.14.key">
+				<port id="2" precision="FP32" names="present.6.key">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -49227,13 +16149,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3231" name="Constant_433015_compressed" type="Const" version="opset1">
+		<layer id="1048" name="Constant_52258_compressed" type="Const" version="opset1">
 			<data element_type="f16" shape="" offset="0" size="2" />
 			<output>
 				<port id="0" precision="FP16" />
 			</output>
 		</layer>
-		<layer id="3232" name="Constant_433015" type="Convert" version="opset1">
+		<layer id="1049" name="Constant_52258" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -49245,7 +16167,7 @@
 				<port id="1" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="3233" name="Constant_433008" type="Const" version="opset1">
+		<layer id="1050" name="Constant_52251" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="10" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -49253,7 +16175,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3234" name="Constant_433010" type="Const" version="opset1">
+		<layer id="1051" name="Constant_52253" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -49261,7 +16183,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3235" name="Constant_433012" type="Const" version="opset1">
+		<layer id="1052" name="Constant_52255" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="18" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -49269,7 +16191,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3236" name="Concat_433013" type="Concat" version="opset1">
+		<layer id="1053" name="Concat_52256" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -49291,7 +16213,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3237" name="Broadcast_433016" type="Broadcast" version="opset3">
+		<layer id="1054" name="Broadcast_52259" type="Broadcast" version="opset3">
 			<data mode="numpy" />
 			<input>
 				<port id="0" precision="FP32" />
@@ -49308,8 +16230,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3238" name="ReadValue_417308" type="ReadValue" version="opset6">
-			<data variable_id="past_key_values.14.valuepresent.14.value" variable_type="f32" variable_shape="?,32,?,80" />
+		<layer id="1055" name="ReadValue_49848" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.6.valuepresent.6.value" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -49319,7 +16241,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="past_key_values.14.value">
+				<port id="1" precision="FP32" names="past_key_values.6.value">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -49327,13 +16249,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3239" name="Constant_401977" type="Const" version="opset1">
+		<layer id="1056" name="Constant_47368" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="3240" name="Gather_401978" type="Gather" version="opset8">
+		<layer id="1057" name="Gather_47369" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
@@ -49356,41 +16278,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3241" name="Constant_299547" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297886914" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1058" name="Constant_4531" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559264" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3242" name="Constant_299550" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297886970" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1059" name="Constant_4533" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559254" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3243" name="Constant_299553" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559170" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1060" name="Constant_4535" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3244" name="__module.model.gpt_neox.layers.14.attention/aten::slice/Slice_10" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1061" name="__module.model.gpt_neox.layers.6.attention/aten::slice/Slice_10" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -49399,17 +16311,20 @@
 					<dim>240</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="2419">
+				<port id="5" precision="FP32" names="1074">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
@@ -49417,15 +16332,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3245" name="Constant_8384" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559202" size="32" />
+		<layer id="1062" name="Constant_4544" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="297559122" size="32" />
 			<output>
-				<port id="0" precision="I64" names="2420">
+				<port id="0" precision="I64" names="1075">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3246" name="__module.model.gpt_neox.layers.14.attention/aten::permute/Transpose_2" type="Transpose" version="opset1">
+		<layer id="1063" name="__module.model.gpt_neox.layers.6.attention/aten::permute/Transpose_2" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -49438,7 +16353,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2421">
+				<port id="2" precision="FP32" names="1076">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -49446,7 +16361,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3247" name="__module.model.gpt_neox.layers.14.attention/aten::cat/Concat_5" type="Concat" version="opset1">
+		<layer id="1064" name="__module.model.gpt_neox.layers.6.attention/aten::cat/Concat_5" type="Concat" version="opset1">
 			<data axis="-2" />
 			<input>
 				<port id="0" precision="FP32">
@@ -49463,7 +16378,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="present.14.value">
+				<port id="2" precision="FP32" names="present.6.value">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -49471,40 +16386,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3248" name="__module.model.gpt_neox.layers.14.attention/aten::slice/Slice_11" type="Const" version="opset1">
-			<data element_type="boolean" shape="1, 1, 2048, 2048" offset="298214684" size="4194304" />
-			<output>
-				<port id="0" precision="BOOL" names="2498">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>2048</dim>
-					<dim>2048</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3249" name="Constant_299557" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="302408988" size="24" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I64">
-					<dim>3</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3250" name="Constant_299556" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886954" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1065" name="Constant_4926" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3251" name="ShapeOf_339193" type="ShapeOf" version="opset3">
+		<layer id="1066" name="ShapeOf_38637" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -49520,48 +16410,38 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3252" name="Constant_339194" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="297886954" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1067" name="Constant_38638" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559280" size="8" />
 			<output>
-				<port id="0" precision="I64" />
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="3253" name="Constant_339195" type="Const" version="opset1">
+		<layer id="1068" name="Constant_38639" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="2" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="3254" name="Gather_339196" type="Gather" version="opset8">
+		<layer id="1069" name="Gather_38640" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
-				<port id="1" precision="I64" />
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
 				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" />
-			</output>
-		</layer>
-		<layer id="3255" name="Add_339197" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
-			</input>
-			<output>
-				<port id="2" precision="I64" names="2493" />
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="3256" name="ShapeOf_339264" type="ShapeOf" version="opset3">
+		<layer id="1070" name="ShapeOf_38641" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -49577,87 +16457,68 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3257" name="Constant_339265" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="297886954" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1071" name="Constant_38642" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559280" size="8" />
 			<output>
-				<port id="0" precision="I64" />
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="3258" name="Constant_339266" type="Const" version="opset1">
+		<layer id="1072" name="Constant_38643" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="2" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="3259" name="Gather_339267" type="Gather" version="opset8">
+		<layer id="1073" name="Gather_38644" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
-				<port id="1" precision="I64" />
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
 				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="2491" />
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="3260" name="__module.model.gpt_neox.layers.14.attention/aten::sub/Subtract" type="Subtract" version="opset1">
+		<layer id="1074" name="Add_38645" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
-			</input>
-			<output>
-				<port id="2" precision="I64" names="2495,2496" />
-			</output>
-		</layer>
-		<layer id="3261" name="Constant_337730" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886946" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="3262" name="__module.model.gpt_neox.layers.14.attention/aten::slice/Unsqueeze_44" type="Reshape" version="opset1">
-			<data special_zero="false" />
-			<input>
-				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64">
+				<port id="2" precision="I64" names="1123">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3263" name="Constant_299555" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="258211866" size="4" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1075" name="Constant_4929" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
 			<output>
-				<port id="0" precision="I32">
+				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3264" name="ScatterUpdate_299558" type="ScatterUpdate" version="opset3">
+		<layer id="1076" name="__module.model.gpt_neox.layers.6.attention/aten::slice/Slice_14" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64">
-					<dim>3</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -49665,75 +16526,90 @@
 				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
+				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
-			</input>
-			<output>
 				<port id="4" precision="I64">
-					<dim>3</dim>
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-			</output>
-		</layer>
-		<layer id="3265" name="Constant_299559" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="302408988" size="24" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I64">
-					<dim>3</dim>
+					<dim>1</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="3266" name="Constant_337732" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886946" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+			</input>
 			<output>
-				<port id="0" precision="I64">
+				<port id="5" precision="FP32" names="1127">
+					<dim>-1</dim>
 					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
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@@ -49743,480 +16619,664 @@
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+		<layer id="1108" name="__module.model.gpt_neox.layers.6.mlp.dense_4h_to_h/ov_ext::linear/ConvertLike_1" type="Convert" version="opset1">
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+		<layer id="1119" name="self.model.gpt_neox.layers.7.attention.query_key_value.weight_compressed" type="Const" version="opset1">
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 		</layer>
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@@ -50225,7 +17285,7 @@
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@@ -50233,21 +17293,21 @@
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+		<layer id="1122" name="Constant_36961_compressed" type="Const" version="opset1">
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@@ -50256,252 +17316,299 @@
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@@ -50510,525 +17617,457 @@
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 				<port id="0" precision="FP32">
-					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2564,query.91">
+				<port id="2" precision="FP32" names="1211">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -51036,41 +18075,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3349" name="Constant_299660" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559106" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1173" name="Constant_5480" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559246" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3350" name="Constant_299663" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559138" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1174" name="Constant_5482" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559254" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3351" name="Constant_299666" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559170" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1175" name="Constant_5484" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3352" name="__module.model.gpt_neox.layers.15.attention/aten::slice/Slice_1" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1176" name="__module.model.gpt_neox.layers.7.attention/aten::slice/Slice_7" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -51079,183 +18108,246 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="2571,q.31">
+				<port id="5" precision="FP32" names="1221,x2.31">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3353" name="self.model.gpt_neox.layers.15.attention.rotary_emb.cos_cached_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="2048, 80" offset="297559234" size="327680" />
+		<layer id="1177" name="Constant_36963_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 1, 1" offset="297559262" size="2" />
 			<output>
-				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.15.attention.rotary_emb.cos_cached">
-					<dim>2048</dim>
-					<dim>80</dim>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3354" name="self.model.gpt_neox.layers.15.attention.rotary_emb.cos_cached" type="Convert" version="opset1">
+		<layer id="1178" name="Constant_36963" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
-					<dim>2048</dim>
-					<dim>80</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP32">
-					<dim>2048</dim>
-					<dim>80</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3355" name="__module.model.gpt_neox.layers.15.attention.rotary_emb/aten::slice/Unsqueeze" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="2" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I64">
+		<layer id="1179" name="__module.model.gpt_neox.layers.7.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 					<dim>1</dim>
 				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1222">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="3356" name="Constant_299672" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559138" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1180" name="Constant_5377" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3357" name="Constant_299675" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297886914" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1181" name="Constant_5421" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559246" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3358" name="Constant_299678" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559170" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1182" name="Constant_5423" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3359" name="__module.model.gpt_neox.layers.15.attention/aten::slice/Slice_2" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1183" name="__module.model.gpt_neox.layers.7.attention/aten::slice/Slice_8" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
-					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>240</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="2565">
-					<dim>-1</dim>
+				<port id="5" precision="FP32" names="1216">
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>80</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3360" name="ShapeOf_339274" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="1184" name="__module.model.gpt_neox.layers.7.attention/aten::cat/Concat_2" type="Concat" version="opset1">
+			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>80</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="FP32" names="1224">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3361" name="Constant_341015" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886946" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I64">
+		<layer id="1185" name="__module.model.gpt_neox.layers.7.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
 					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1225">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3362" name="Constant_339276" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="2" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1186" name="__module.model.gpt_neox.layers.7.attention/aten::add/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="I64" />
+				<port id="2" precision="FP32" names="1226,1230">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="3363" name="Gather_339277" type="Gather" version="opset8">
-			<data batch_dims="0" />
+		<layer id="1187" name="__module.model.gpt_neox.layers.7.attention/aten::cat/Concat_4" type="Concat" version="opset1">
+			<data axis="-2" />
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>1</dim>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="2575">
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="present.7.key">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3364" name="Constant_433028_compressed" type="Const" version="opset1">
+		<layer id="1188" name="Constant_52282_compressed" type="Const" version="opset1">
 			<data element_type="f16" shape="" offset="0" size="2" />
 			<output>
 				<port id="0" precision="FP16" />
 			</output>
 		</layer>
-		<layer id="3365" name="Constant_433028" type="Convert" version="opset1">
+		<layer id="1189" name="Constant_52282" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -51267,7 +18359,7 @@
 				<port id="1" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="3366" name="Constant_433021" type="Const" version="opset1">
+		<layer id="1190" name="Constant_52275" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="10" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -51275,7 +18367,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3367" name="Constant_433023" type="Const" version="opset1">
+		<layer id="1191" name="Constant_52277" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -51283,7 +18375,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3368" name="Constant_433025" type="Const" version="opset1">
+		<layer id="1192" name="Constant_52279" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="18" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -51291,7 +18383,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3369" name="Concat_433026" type="Concat" version="opset1">
+		<layer id="1193" name="Concat_52280" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -51313,7 +18405,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3370" name="Broadcast_433029" type="Broadcast" version="opset3">
+		<layer id="1194" name="Broadcast_52283" type="Broadcast" version="opset3">
 			<data mode="numpy" />
 			<input>
 				<port id="0" precision="FP32" />
@@ -51330,8 +18422,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3371" name="ReadValue_417310" type="ReadValue" version="opset6">
-			<data variable_id="past_key_values.15.keypresent.15.key" variable_type="f32" variable_shape="?,32,?,80" />
+		<layer id="1195" name="ReadValue_49852" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.7.valuepresent.7.value" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -51341,7 +18433,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="past_key_values.15.key">
+				<port id="1" precision="FP32" names="past_key_values.7.value">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -51349,13 +18441,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3372" name="Constant_401980" type="Const" version="opset1">
+		<layer id="1196" name="Constant_47374" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="3373" name="Gather_401981" type="Gather" version="opset8">
+		<layer id="1197" name="Gather_47375" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
@@ -51378,7 +18470,123 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3374" name="ShapeOf_339279" type="ShapeOf" version="opset3">
+		<layer id="1198" name="Constant_5161" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559264" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1199" name="Constant_5163" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559254" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1200" name="Constant_5165" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1201" name="__module.model.gpt_neox.layers.7.attention/aten::slice/Slice_10" type="Slice" version="opset8">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>240</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="5" precision="FP32" names="1186">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1202" name="Constant_5174" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="297559122" size="32" />
+			<output>
+				<port id="0" precision="I64" names="1187">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1203" name="__module.model.gpt_neox.layers.7.attention/aten::permute/Transpose_2" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1188">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1204" name="__module.model.gpt_neox.layers.7.attention/aten::cat/Concat_5" type="Concat" version="opset1">
+			<data axis="-2" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="present.7.value">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1205" name="Constant_5556" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1206" name="ShapeOf_38710" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -51394,63 +18602,85 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3375" name="Constant_339280" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="297886954" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1207" name="Constant_38711" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559280" size="8" />
 			<output>
-				<port id="0" precision="I64" />
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="3376" name="Constant_339281" type="Const" version="opset1">
+		<layer id="1208" name="Constant_38712" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="2" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="3377" name="Gather_339282" type="Gather" version="opset8">
+		<layer id="1209" name="Gather_38713" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
-				<port id="1" precision="I64" />
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
 				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="2577" />
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="3378" name="Constant_337734" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886946" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1210" name="ShapeOf_38714" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1211" name="Constant_38715" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559280" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3379" name="Reshape_340935" type="Reshape" version="opset1">
-			<data special_zero="false" />
-			<input>
+		<layer id="1212" name="Constant_38716" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="2" size="8" />
+			<output>
 				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="1213" name="Gather_38717" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
 				</port>
+				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="I64">
+				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3380" name="__module.model.gpt_neox.layers.15.attention/aten::add_/Add" type="Add" version="opset1">
+		<layer id="1214" name="Add_38718" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="I64">
@@ -51461,28 +18691,26 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64" names="2576,2580,2581,seq_len.61">
+				<port id="2" precision="I64" names="1235">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3381" name="__module.model.gpt_neox.layers.15.attention.rotary_emb/aten::slice/Unsqueeze_2" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886946" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1215" name="Constant_5559" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3382" name="__module.model.gpt_neox.layers.15.attention.rotary_emb/aten::slice/Slice" type="StridedSlice" version="opset1">
-			<data begin_mask="0" end_mask="0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1216" name="__module.model.gpt_neox.layers.7.attention/aten::slice/Slice_14" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
-					<dim>2048</dim>
-					<dim>80</dim>
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -51493,61 +18721,65 @@
 				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="2584,2587,cos.61">
+				<port id="5" precision="FP32" names="1239">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3383" name="Constant_38317" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="258211866" size="4" />
-			<output>
-				<port id="0" precision="I32" />
-			</output>
-		</layer>
-		<layer id="3384" name="__module.model.gpt_neox.layers.15.attention/aten::index/Gather" type="Gather" version="opset8">
-			<data batch_dims="0" />
+		<layer id="1217" name="__module.model.gpt_neox.layers.7.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+			<data causal="false" />
 			<input>
 				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I32">
+				<port id="1" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-				<port id="2" precision="I32" />
-			</input>
-			<output>
-				<port id="3" precision="FP32" names="2590">
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="3385" name="__module.model.gpt_neox.layers.15.attention/aten::unsqueeze/Unsqueeze" type="Unsqueeze" version="opset1">
-			<input>
-				<port id="0" precision="FP32">
+				<port id="3" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2591,cos.63">
+				<port id="4" precision="FP32" names="1240,attn_output.57">
 					<dim>-1</dim>
-					<dim>1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3386" name="__module.model.gpt_neox.layers.15.attention/aten::mul/Multiply" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="1218" name="__module.model.gpt_neox.layers.7.attention/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="297559312" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1219" name="__module.model.gpt_neox.layers.7.attention/aten::transpose/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -51555,219 +18787,264 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>1</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
+				<port id="1" precision="I32">
+					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2595">
+				<port id="2" precision="FP32" names="1241">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3387" name="Constant_299683" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559106" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3388" name="Constant_299682" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886962" size="8" />
+		<layer id="1220" name="Constant_40542" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="297559328" size="24" />
 			<rt_info>
 				<attribute name="precise" version="0" />
 			</rt_info>
 			<output>
 				<port id="0" precision="I64">
-					<dim>1</dim>
+					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3389" name="__module.model.gpt_neox.layers.15.attention/aten::size/ShapeOf_5" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="1221" name="__module.model.gpt_neox.layers.7.attention/aten::view/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>80</dim>
 				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="FP32" names="1244">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3390" name="__module.model.gpt_neox.layers.15.attention/aten::size/Constant_5" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="258211866" size="4" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1222" name="self.model.gpt_neox.layers.7.attention.dense.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="2560, 2560" offset="1399030072" size="13107200" />
 			<output>
-				<port id="0" precision="I32" />
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.7.attention.dense.weight">
+					<dim>2560</dim>
+					<dim>2560</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="3391" name="__module.model.gpt_neox.layers.15.attention/aten::size/Gather_5" type="Gather" version="opset8">
-			<data batch_dims="0" />
+		<layer id="1223" name="self.model.gpt_neox.layers.7.attention.dense.weight" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="FP16">
+					<dim>2560</dim>
+					<dim>2560</dim>
 				</port>
-				<port id="1" precision="I64" />
-				<port id="2" precision="I32" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="2596,2601" />
+				<port id="1" precision="FP32">
+					<dim>2560</dim>
+					<dim>2560</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="3392" name="__module.model.gpt_neox.layers.15.attention/aten::floor_divide/Divide_1" type="Divide" version="opset1">
-			<data auto_broadcast="numpy" m_pythondiv="true" />
+		<layer id="1224" name="__module.model.gpt_neox.layers.7.attention.dense/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
 			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>2560</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>2560</dim>
+					<dim>2560</dim>
+				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64" />
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>2560</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="3393" name="__module.model.gpt_neox.layers.15.attention/aten::floor_divide/Floor_1" type="Floor" version="opset1">
-			<input>
-				<port id="0" precision="I64" />
-			</input>
+		<layer id="1225" name="Constant_36964_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 2560" offset="1412137272" size="5120" />
 			<output>
-				<port id="1" precision="I64" names="2598,2599,2603,2604" />
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>2560</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="3394" name="Constant_337736" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886946" size="8" />
+		<layer id="1226" name="Constant_36964" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="precise" version="0" />
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>2560</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="I64">
+				<port id="1" precision="FP32">
 					<dim>1</dim>
+					<dim>1</dim>
+					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
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-			<data special_zero="false" />
+		<layer id="1227" name="__module.model.gpt_neox.layers.7.attention.dense/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>2560</dim>
+				</port>
+				<port id="1" precision="FP32">
 					<dim>1</dim>
+					<dim>1</dim>
+					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64">
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="1247,1249,input.29">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3396" name="Constant_299681" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="258211866" size="4" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1228" name="__module.model.gpt_neox.layers.7/aten::add/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>2560</dim>
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+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>2560</dim>
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 			<output>
-				<port id="0" precision="I32">
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="1253,attn_output.63">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>2560</dim>
 				</port>
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+		<layer id="1232" name="Constant_36965" type="Convert" version="opset1">
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+		<layer id="1233" name="__module.model.gpt_neox.layers.7.post_attention_layernorm/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
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+		<layer id="1234" name="Constant_36966_compressed" type="Const" version="opset1">
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 		</layer>
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 			<data destination_type="f32" />
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@@ -51776,404 +19053,496 @@
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 					<dim>1</dim>
 					<dim>1</dim>
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 		</layer>
-		<layer id="3403" name="__module.model.gpt_neox.layers.15.attention/aten::neg/Multiply" type="Multiply" version="opset1">
+		<layer id="1236" name="__module.model.gpt_neox.layers.7.post_attention_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
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+		<layer id="1237" name="self.model.gpt_neox.layers.7.mlp.dense_h_to_4h.weight" type="Const" version="opset1">
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-		<layer id="3405" name="Constant_299740" type="Const" version="opset1">
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+		<layer id="1238" name="__module.model.gpt_neox.layers.7.mlp.dense_h_to_4h/ov_ext::linear/ConvertLike" type="Convert" version="opset1">
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 			<rt_info>
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+		<layer id="1239" name="__module.model.gpt_neox.layers.7.mlp.dense_h_to_4h/ov_ext::linear/MatMul" type="MatMul" version="opset1">
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+		</layer>
+		<layer id="1241" name="__module.model.gpt_neox.layers.7.mlp.dense_h_to_4h/ov_ext::linear/ConvertLike_1" type="Convert" version="opset1">
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 		</layer>
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+		<layer id="1261" name="__module.model.gpt_neox.layers.8.attention.query_key_value/ov_ext::linear/MatMul" type="MatMul" version="opset1">
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+		<layer id="1262" name="Constant_36969_compressed" type="Const" version="opset1">
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+		<layer id="1263" name="Constant_36969" type="Convert" version="opset1">
+			<data destination_type="f32" />
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 		</layer>
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+		<layer id="1264" name="__module.model.gpt_neox.layers.8.attention.query_key_value/ov_ext::linear/Add" type="Add" version="opset1">
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 			<output>
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-		<layer id="3425" name="Constant_299796" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559106" size="32" />
+		<layer id="1265" name="__module.model.gpt_neox.layers.8.attention/prim::ListConstruct" type="Const" version="opset1">
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@@ -52183,113 +19552,141 @@
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+		<layer id="1266" name="__module.model.gpt_neox.layers.8.attention/aten::view/Reshape" type="Reshape" version="opset1">
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 				<port id="1" precision="I64">
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-				<attribute name="precise" version="0" />
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+		<layer id="1267" name="Constant_5755" type="Const" version="opset1">
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-			<data batch_dims="0" />
-			<input>
+		<layer id="1268" name="Constant_5757" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="18" size="8" />
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+		</layer>
+		<layer id="1269" name="Constant_5759" type="Const" version="opset1">
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-			<data auto_broadcast="numpy" m_pythondiv="true" />
+		<layer id="1270" name="__module.model.gpt_neox.layers.8.attention/aten::slice/Slice" type="Slice" version="opset8">
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+		<layer id="1271" name="Constant_5768" type="Const" version="opset1">
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+		<layer id="1273" name="Constant_5809" type="Const" version="opset1">
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+		<layer id="1274" name="Constant_5811" type="Const" version="opset1">
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+		<layer id="1275" name="Constant_5813" type="Const" version="opset1">
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 				</port>
 			</output>
 		</layer>
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 			<input>
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 				<port id="1" precision="I64">
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@@ -52297,40 +19694,72 @@
 				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
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+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3436" name="Constant_299800" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297886970" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1277" name="__module.model.gpt_neox.layers.8.attention/aten::mul/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1307">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1278" name="Constant_5967" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559246" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3437" name="Constant_299803" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559170" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1279" name="Constant_5969" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559254" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1280" name="Constant_5971" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3438" name="__module.model.gpt_neox.layers.15.attention/aten::slice/Slice_7" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1281" name="__module.model.gpt_neox.layers.8.attention/aten::slice/Slice_2" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -52339,17 +19768,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="2621,x2.63">
+				<port id="5" precision="FP32" names="1317,x2.33">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -52357,8 +19789,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3439" name="Constant_325345_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 1, 1" offset="297887002" size="2" />
+		<layer id="1282" name="Constant_36970_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 1, 1" offset="297559262" size="2" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -52368,7 +19800,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3440" name="Constant_325345" type="Convert" version="opset1">
+		<layer id="1283" name="Constant_36970" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -52390,7 +19822,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3441" name="__module.model.gpt_neox.layers.15.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
+		<layer id="1284" name="__module.model.gpt_neox.layers.8.attention/aten::neg/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -52407,7 +19839,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2622">
+				<port id="2" precision="FP32" names="1318">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -52415,30 +19847,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3442" name="Constant_299848" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559106" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1285" name="Constant_5864" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3443" name="Constant_299853" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559170" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1286" name="Constant_5908" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559246" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1287" name="Constant_5910" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3444" name="__module.model.gpt_neox.layers.15.attention/aten::slice/Slice_8" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1288" name="__module.model.gpt_neox.layers.8.attention/aten::slice/Slice_3" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -52447,17 +19880,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="2616">
+				<port id="5" precision="FP32" names="1312">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -52465,7 +19901,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3445" name="__module.model.gpt_neox.layers.15.attention/aten::cat/Concat_2" type="Concat" version="opset1">
+		<layer id="1289" name="__module.model.gpt_neox.layers.8.attention/aten::cat/Concat" type="Concat" version="opset1">
 			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
@@ -52482,7 +19918,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2624">
+				<port id="2" precision="FP32" names="1320">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -52490,7 +19926,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3446" name="__module.model.gpt_neox.layers.15.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
+		<layer id="1290" name="__module.model.gpt_neox.layers.8.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -52507,7 +19943,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2625">
+				<port id="2" precision="FP32" names="1321">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -52515,7 +19951,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3447" name="__module.model.gpt_neox.layers.15.attention/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="1291" name="__module.model.gpt_neox.layers.8.attention/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -52532,32 +19968,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2626,2630">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3448" name="__module.model.gpt_neox.layers.15.attention/aten::to/Convert_1" type="Concat" version="opset1">
-			<data axis="-2" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="present.15.key">
+				<port id="2" precision="FP32" names="1322,1340">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -52565,13 +19976,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3449" name="Constant_433041_compressed" type="Const" version="opset1">
+		<layer id="1292" name="Constant_52294_compressed" type="Const" version="opset1">
 			<data element_type="f16" shape="" offset="0" size="2" />
 			<output>
 				<port id="0" precision="FP16" />
 			</output>
 		</layer>
-		<layer id="3450" name="Constant_433041" type="Convert" version="opset1">
+		<layer id="1293" name="Constant_52294" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -52583,7 +19994,7 @@
 				<port id="1" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="3451" name="Constant_433034" type="Const" version="opset1">
+		<layer id="1294" name="Constant_52287" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="10" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -52591,7 +20002,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3452" name="Constant_433036" type="Const" version="opset1">
+		<layer id="1295" name="Constant_52289" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -52599,7 +20010,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3453" name="Constant_433038" type="Const" version="opset1">
+		<layer id="1296" name="Constant_52291" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="18" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -52607,7 +20018,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3454" name="Concat_433039" type="Concat" version="opset1">
+		<layer id="1297" name="Concat_52292" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -52629,7 +20040,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3455" name="Broadcast_433042" type="Broadcast" version="opset3">
+		<layer id="1298" name="Broadcast_52295" type="Broadcast" version="opset3">
 			<data mode="numpy" />
 			<input>
 				<port id="0" precision="FP32" />
@@ -52646,8 +20057,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3456" name="ReadValue_417312" type="ReadValue" version="opset6">
-			<data variable_id="past_key_values.15.valuepresent.15.value" variable_type="f32" variable_shape="?,32,?,80" />
+		<layer id="1299" name="ReadValue_49854" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.8.keypresent.8.key" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -52657,7 +20068,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="past_key_values.15.value">
+				<port id="1" precision="FP32" names="past_key_values.8.key">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -52665,13 +20076,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3457" name="Constant_401983" type="Const" version="opset1">
+		<layer id="1300" name="Constant_47377" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="3458" name="Gather_401984" type="Gather" version="opset8">
+		<layer id="1301" name="Gather_47378" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
@@ -52694,41 +20105,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3459" name="Constant_299898" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297886914" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1302" name="Constant_5773" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="18" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3460" name="Constant_299901" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297886970" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1303" name="Constant_5775" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559264" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3461" name="Constant_299904" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559170" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1304" name="Constant_5777" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3462" name="__module.model.gpt_neox.layers.15.attention/aten::slice/Slice_10" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1305" name="__module.model.gpt_neox.layers.8.attention/aten::slice/Slice_5" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -52737,17 +20138,20 @@
 					<dim>240</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="2568">
+				<port id="5" precision="FP32" names="1295">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
@@ -52755,15 +20159,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3463" name="Constant_8965" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559202" size="32" />
+		<layer id="1306" name="Constant_5786" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="297559122" size="32" />
 			<output>
-				<port id="0" precision="I64" names="2569">
+				<port id="0" precision="I64" names="1296">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3464" name="__module.model.gpt_neox.layers.15.attention/aten::permute/Transpose_2" type="Transpose" version="opset1">
+		<layer id="1307" name="__module.model.gpt_neox.layers.8.attention/aten::permute/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -52776,32 +20180,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2570">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3465" name="__module.model.gpt_neox.layers.15.attention/aten::cat/Concat_5" type="Concat" version="opset1">
-			<data axis="-2" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="present.15.value">
+				<port id="2" precision="FP32" names="1297,key.33">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -52809,41 +20188,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3466" name="__module.model.gpt_neox.layers.15.attention/aten::slice/Slice_11" type="Const" version="opset1">
-			<data element_type="boolean" shape="1, 1, 2048, 2048" offset="298214684" size="4194304" />
+		<layer id="1308" name="Constant_5829" type="Const" version="opset1">
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 		</layer>
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-				<attribute name="precise" version="0" />
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 			<output>
 				<port id="0" precision="I64">
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 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1310" name="Constant_5833" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3469" name="ShapeOf_339284" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="1311" name="__module.model.gpt_neox.layers.8.attention/aten::slice/Slice_6" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -52851,56 +20220,30 @@
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 					<dim>80</dim>
 				</port>
-			</input>
-			<output>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
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-			<data batch_dims="0" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="I64">
+					<dim>1</dim>
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+				<port id="3" precision="I64">
+					<dim>1</dim>
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+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
-				<port id="1" precision="I64" />
-				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" />
+				<port id="5" precision="FP32" names="1303,k.17">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="3473" name="Add_339288" type="Add" version="opset1">
+		<layer id="1312" name="__module.model.gpt_neox.layers.8.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
-			<input>
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-		<layer id="3474" name="ShapeOf_339355" type="ShapeOf" version="opset3">
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 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -52908,94 +20251,53 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-			</input>
-			<output>
-				<port id="1" precision="I64">
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-			</output>
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-			<output>
-				<port id="0" precision="I64" />
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-		<layer id="3476" name="Constant_339357" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I64" />
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-		<layer id="3477" name="Gather_339358" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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-			</input>
-			<output>
-				<port id="3" precision="I64" names="2640" />
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-		</layer>
-		<layer id="3478" name="__module.model.gpt_neox.layers.15.attention/aten::sub/Subtract" type="Subtract" version="opset1">
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-				<port id="1" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="I64" names="2644,2645" />
+				<port id="2" precision="FP32" names="1323">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="3479" name="Constant_337740" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1313" name="Constant_6110" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559246" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-			</input>
+		<layer id="1314" name="Constant_6112" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559254" size="8" />
 			<output>
-				<port id="2" precision="I64">
+				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3481" name="Constant_299906" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1315" name="Constant_6114" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
 			<output>
-				<port id="0" precision="I32">
+				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3482" name="ScatterUpdate_299909" type="ScatterUpdate" version="opset3">
+		<layer id="1316" name="__module.model.gpt_neox.layers.8.attention/aten::slice/Slice_7" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64">
-					<dim>3</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -53003,160 +20305,111 @@
 				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
+				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
-			</input>
-			<output>
 				<port id="4" precision="I64">
-					<dim>3</dim>
+					<dim>1</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="3483" name="Constant_299910" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+			</input>
 			<output>
-				<port id="0" precision="I64">
-					<dim>3</dim>
+				<port id="5" precision="FP32" names="1333,x2.35">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3484" name="Constant_337742" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886946" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1317" name="Constant_36971_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 1, 1" offset="297559262" size="2" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="FP16">
+					<dim>1</dim>
 					<dim>1</dim>
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-			</output>
-		</layer>
-		<layer id="3485" name="__module.model.gpt_neox.layers.15.attention/aten::slice/Unsqueeze_45" type="Reshape" version="opset1">
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 				</port>
 			</output>
 		</layer>
-		<layer id="3486" name="ScatterUpdate_299911" type="ScatterUpdate" version="opset3">
+		<layer id="1318" name="Constant_36971" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
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 			<input>
-				<port id="0" precision="I64">
-					<dim>3</dim>
-				</port>
-				<port id="1" precision="I64">
+				<port id="0" precision="FP16">
+					<dim>1</dim>
 					<dim>1</dim>
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 					<dim>1</dim>
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-				<attribute name="precise" version="0" />
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-			<output>
-				<port id="0" precision="I64">
-					<dim>3</dim>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-			<data begin_mask="1, 1, 0" end_mask="1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1319" name="__module.model.gpt_neox.layers.8.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="BOOL">
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
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+				<port id="1" precision="FP32">
 					<dim>1</dim>
 					<dim>1</dim>
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-					<dim>2048</dim>
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-				<port id="2" precision="I64">
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-				<port id="3" precision="I64">
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 					<dim>1</dim>
 					<dim>1</dim>
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-		<layer id="3489" name="Constant_299987" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+			</input>
 			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="FP32" names="1334">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1320" name="Constant_6007" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3491" name="Constant_299984" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1321" name="Constant_6051" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559246" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1322" name="Constant_6053" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
 			<output>
-				<port id="0" precision="I32">
+				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3493" name="ScatterUpdate_299989" type="ScatterUpdate" version="opset3">
+		<layer id="1323" name="__module.model.gpt_neox.layers.8.attention/aten::slice/Slice_8" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -53164,212 +20417,165 @@
 				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
+				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
-			</input>
-			<output>
 				<port id="4" precision="I64">
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-		<layer id="3494" name="Constant_299992" type="Const" version="opset1">
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-				<port id="0" precision="I64">
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-				<port id="0" precision="BOOL">
 					<dim>1</dim>
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-				<port id="2" precision="I64">
-					<dim>4</dim>
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-				<port id="3" precision="I64">
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 				</port>
 			</input>
 			<output>
-				<port id="4" precision="BOOL" names="2649,2650">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="5" precision="FP32" names="1328">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
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-			<output>
-				<port id="0" precision="FP16" />
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-		<layer id="3497" name="__module.model.gpt_neox.layers.15.attention/aten::where/Convert_1" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
+		<layer id="1324" name="__module.model.gpt_neox.layers.8.attention/aten::cat/Concat_2" type="Concat" version="opset1">
+			<data axis="-1" />
 			<input>
-				<port id="0" precision="FP16" />
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
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 			</input>
 			<output>
-				<port id="1" precision="FP32" />
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-		</layer>
-		<layer id="3498" name="__module.model.gpt_neox.layers.15.attention/aten::full/Convert" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="FP32" names="2637" />
+				<port id="2" precision="FP32" names="1336">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
 			</output>
 		</layer>
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+		<layer id="1325" name="__module.model.gpt_neox.layers.8.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
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 			</output>
 		</layer>
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 				<port id="1" precision="FP32">
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 					<dim>-1</dim>
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 			</output>
 		</layer>
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+		<layer id="1327" name="__module.model.gpt_neox.layers.8.attention/aten::cat/Concat_4" type="Concat" version="opset1">
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+					<dim>80</dim>
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+				<port id="1" precision="FP32">
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 					<dim>-1</dim>
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 			<output>
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+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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 			</output>
 		</layer>
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-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1328" name="Constant_52306_compressed" type="Const" version="opset1">
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 			<output>
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+				<port id="0" precision="FP16" />
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 		</layer>
-		<layer id="3503" name="Constant_339362" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="2" size="8" />
+		<layer id="1329" name="Constant_52306" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="precise" version="0" />
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 			</input>
 			<output>
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+				<port id="1" precision="FP32" />
 			</output>
 		</layer>
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-				<attribute name="precise" version="0" />
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+		<layer id="1330" name="Constant_52299" type="Const" version="opset1">
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 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
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+		<layer id="1331" name="Constant_52301" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1332" name="Constant_52303" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="18" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3508" name="__module.model.gpt_neox.layers.15.attention/prim::ListConstruct/Concat_1" type="Concat" version="opset1">
+		<layer id="1333" name="Concat_52304" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -53386,79 +20592,40 @@
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64" names="2652">
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-					<dim>4</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="I64">
+				<port id="4" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3510" name="__module.model.gpt_neox.layers.15.attention/aten::add/Add_2" type="Broadcast" version="opset3">
+		<layer id="1334" name="Broadcast_52307" type="Broadcast" version="opset3">
 			<data mode="numpy" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>1</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
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+				<port id="0" precision="FP32" />
 				<port id="1" precision="I64">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2654">
-					<dim>-1</dim>
-					<dim>1</dim>
-					<dim>-1</dim>
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>0</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3511" name="__module.model.gpt_neox.layers.15.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
-			<data causal="false" />
+		<layer id="1335" name="ReadValue_49856" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.8.valuepresent.8.value" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
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-				<port id="1" precision="FP32">
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-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-				<port id="2" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
+					<dim>0</dim>
 					<dim>80</dim>
 				</port>
-				<port id="3" precision="FP32">
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-					<dim>1</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
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 			</input>
 			<output>
-				<port id="4" precision="FP32" names="2655,2656,sdpa_result.31,tensor.61">
+				<port id="1" precision="FP32" names="past_key_values.8.value">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -53466,15 +20633,14 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3512" name="Constant_9406" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559202" size="32" />
+		<layer id="1336" name="Constant_47380" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="2" size="8" />
 			<output>
-				<port id="0" precision="I64" names="2657">
-					<dim>4</dim>
-				</port>
+				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="3513" name="__module.model.gpt_neox.layers.15.attention/aten::permute/Transpose_3" type="Transpose" version="opset1">
+		<layer id="1337" name="Gather_47381" type="Gather" version="opset8">
+			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -53482,432 +20648,392 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="I32">
+					<dim>-1</dim>
 				</port>
+				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2658">
-					<dim>-1</dim>
+				<port id="3" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3514" name="__module.model.gpt_neox.layers.15.attention/prim::ListConstruct/Concat_2" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1338" name="Constant_5791" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559264" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>3</dim>
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-			</output>
-		</layer>
-		<layer id="3515" name="__module.model.gpt_neox.layers.15.attention/aten::view/Reshape_1" type="Reshape" version="opset1">
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-			<input>
-				<port id="0" precision="FP32">
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-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>2560</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-			<data element_type="f16" shape="2560, 2560" offset="2662703490" size="13107200" />
+		<layer id="1339" name="Constant_5793" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559254" size="8" />
 			<output>
-				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.15.attention.dense.weight">
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-					<dim>2560</dim>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-				<attribute name="decompression" version="0" />
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-			<input>
-				<port id="0" precision="FP16">
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-					<dim>2560</dim>
-				</port>
-			</input>
+		<layer id="1340" name="Constant_5795" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
 			<output>
-				<port id="1" precision="FP32">
-					<dim>2560</dim>
-					<dim>2560</dim>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3518" name="__module.model.gpt_neox.layers.15.attention.dense/aten::linear/MatMul" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="true" />
+		<layer id="1341" name="__module.model.gpt_neox.layers.8.attention/aten::slice/Slice_10" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
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+					<dim>32</dim>
+					<dim>240</dim>
 				</port>
-				<port id="1" precision="FP32">
-					<dim>2560</dim>
-					<dim>2560</dim>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="5" precision="FP32" names="1298">
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>2560</dim>
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-				<port id="0" precision="FP16">
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-					<dim>1</dim>
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+					<dim>32</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
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-				<attribute name="decompression" version="0" />
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-					<dim>1</dim>
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-			</input>
+		<layer id="1342" name="Constant_5804" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="297559122" size="32" />
 			<output>
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-					<dim>1</dim>
-					<dim>2560</dim>
+				<port id="0" precision="I64" names="1299">
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 				</port>
 			</output>
 		</layer>
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+		<layer id="1343" name="__module.model.gpt_neox.layers.8.attention/aten::permute/Transpose_2" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
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+					<dim>32</dim>
+					<dim>80</dim>
 				</port>
-				<port id="1" precision="FP32">
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-					<dim>1</dim>
-					<dim>2560</dim>
+				<port id="1" precision="I64">
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 				</port>
 			</input>
 			<output>
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 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
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 			</output>
 		</layer>
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 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
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+					<dim>80</dim>
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 				<port id="1" precision="FP32">
 					<dim>-1</dim>
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 					<dim>-1</dim>
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 			</input>
 			<output>
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 					<dim>-1</dim>
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 		</layer>
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 			<output>
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+		<layer id="1346" name="ShapeOf_38783" type="ShapeOf" version="opset3">
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 				<port id="0" precision="FP32">
 					<dim>-1</dim>
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 					<dim>-1</dim>
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-			<rt_info>
-				<attribute name="decompression" version="0" />
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+		<layer id="1352" name="Constant_38789" type="Const" version="opset1">
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+				<port id="0" precision="I64" />
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+		<layer id="1353" name="Gather_38790" type="Gather" version="opset8">
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-			<data element_type="f16" shape="10240, 2560" offset="2675826050" size="52428800" />
+		<layer id="1355" name="Constant_6189" type="Const" version="opset1">
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-					<dim>2560</dim>
+				<port id="0" precision="I64">
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-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
+		<layer id="1356" name="__module.model.gpt_neox.layers.8.attention/aten::slice/Slice_14" type="Slice" version="opset8">
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+				<port id="3" precision="I64">
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-			<data transpose_a="false" transpose_b="true" />
+		<layer id="1357" name="__module.model.gpt_neox.layers.8.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+			<data causal="false" />
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-					<dim>2560</dim>
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+			<output>
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+		<layer id="1358" name="__module.model.gpt_neox.layers.8.attention/aten::transpose/Constant" type="Const" version="opset1">
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 		</layer>
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-			<data auto_broadcast="numpy" />
+		<layer id="1359" name="__module.model.gpt_neox.layers.8.attention/aten::transpose/Transpose" type="Transpose" version="opset1">
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 				<port id="0" precision="FP32">
 					<dim>-1</dim>
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 			<output>
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 					<dim>-1</dim>
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-			<data approximation_mode="ERF" />
+		<layer id="1360" name="Constant_40543" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="297559328" size="24" />
+			<rt_info>
+				<attribute name="precise" version="0" />
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+			<output>
+				<port id="0" precision="I64">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1361" name="__module.model.gpt_neox.layers.8.attention/aten::view/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
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+					<dim>80</dim>
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+				<port id="1" precision="I64">
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 			<output>
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 					<dim>-1</dim>
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 		</layer>
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+		<layer id="1362" name="self.model.gpt_neox.layers.8.attention.dense.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="2560, 2560" offset="1556383032" size="13107200" />
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+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.8.attention.dense.weight">
+					<dim>2560</dim>
 					<dim>2560</dim>
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 		</layer>
-		<layer id="3539" name="self.model.gpt_neox.layers.15.mlp.dense_4h_to_h.weight" type="Convert" version="opset1">
+		<layer id="1363" name="self.model.gpt_neox.layers.8.attention.dense.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
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@@ -53915,27 +21041,27 @@
 			<input>
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+		<layer id="1364" name="__module.model.gpt_neox.layers.8.attention.dense/ov_ext::linear/MatMul" type="MatMul" version="opset1">
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 				<port id="0" precision="FP32">
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@@ -53946,8 +21072,8 @@
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+		<layer id="1365" name="Constant_36972_compressed" type="Const" version="opset1">
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@@ -53956,7 +21082,7 @@
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 			</output>
 		</layer>
-		<layer id="3542" name="Constant_325350" type="Convert" version="opset1">
+		<layer id="1366" name="Constant_36972" type="Convert" version="opset1">
 			<data destination_type="f32" />
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 				<attribute name="decompression" version="0" />
@@ -53976,7 +21102,7 @@
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 		</layer>
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+		<layer id="1367" name="__module.model.gpt_neox.layers.8.attention.dense/ov_ext::linear/Add" type="Add" version="opset1">
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@@ -53991,14 +21117,14 @@
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 			</input>
 			<output>
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 		</layer>
-		<layer id="3544" name="__module.model.gpt_neox.layers.15/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="1368" name="__module.model.gpt_neox.layers.8/aten::add/Add" type="Add" version="opset1">
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@@ -54013,14 +21139,14 @@
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+				<port id="2" precision="FP32" names="1365,attn_output.71">
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 					<dim>-1</dim>
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 		</layer>
-		<layer id="3545" name="__module.model.gpt_neox.layers.16.input_layernorm/aten::layer_norm/Constant" type="Const" version="opset1">
+		<layer id="1369" name="__module.model.gpt_neox.layers.8.post_attention_layernorm/aten::layer_norm/Multiply" type="Const" version="opset1">
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@@ -54028,7 +21154,7 @@
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 		</layer>
-		<layer id="3546" name="__module.model.gpt_neox.layers.16.input_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
+		<layer id="1370" name="__module.model.gpt_neox.layers.8.post_attention_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
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@@ -54048,8 +21174,8 @@
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-			<data element_type="f16" shape="1, 1, 2560" offset="2780709250" size="5120" />
+		<layer id="1371" name="Constant_36973_compressed" type="Const" version="opset1">
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@@ -54058,7 +21184,7 @@
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 		</layer>
-		<layer id="3548" name="Constant_325351" type="Convert" version="opset1">
+		<layer id="1372" name="Constant_36973" type="Convert" version="opset1">
 			<data destination_type="f32" />
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@@ -54078,7 +21204,7 @@
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 		</layer>
-		<layer id="3549" name="__module.model.gpt_neox.layers.16.input_layernorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
+		<layer id="1373" name="__module.model.gpt_neox.layers.8.post_attention_layernorm/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
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@@ -54100,8 +21226,8 @@
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+		<layer id="1374" name="Constant_36974_compressed" type="Const" version="opset1">
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@@ -54110,7 +21236,7 @@
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 			</output>
 		</layer>
-		<layer id="3551" name="Constant_325352" type="Convert" version="opset1">
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@@ -54130,7 +21256,7 @@
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@@ -54145,41 +21271,41 @@
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-			<data element_type="f16" shape="7680, 2560" offset="2780719490" size="39321600" />
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 		</layer>
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+		<layer id="1379" name="__module.model.gpt_neox.layers.8.mlp.dense_h_to_4h/ov_ext::linear/MatMul" type="MatMul" version="opset1">
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@@ -54188,7 +21314,7 @@
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 				<port id="1" precision="FP32">
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@@ -54196,867 +21322,419 @@
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+		<layer id="1380" name="self.model.gpt_neox.layers.8.mlp.dense_h_to_4h.bias" type="Const" version="opset1">
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 		</layer>
-		<layer id="3557" name="Constant_325353" type="Convert" version="opset1">
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-			<data special_zero="true" />
+		<layer id="1383" name="__module.model.gpt_neox.layers.8.mlp.act/aten::gelu/Gelu" type="Gelu" version="opset7">
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-			<rt_info>
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-				<port id="1" precision="I64">
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+					<dim>1</dim>
+					<dim>7680</dim>
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 			</input>
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+				<port id="1" precision="FP32">
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-		</layer>
-		<layer id="3614" name="Constant_300032" type="Const" version="opset1">
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-				<attribute name="precise" version="0" />
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-			<output>
-				<port id="0" precision="I32">
 					<dim>1</dim>
+					<dim>7680</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3615" name="ScatterUpdate_300035" type="ScatterUpdate" version="opset3">
+		<layer id="1404" name="__module.model.gpt_neox.layers.9.attention.query_key_value/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="1" precision="I64">
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+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>7680</dim>
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-				<port id="3" precision="I32">
 					<dim>1</dim>
+					<dim>7680</dim>
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 			<output>
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-		<layer id="3616" name="Constant_300038" type="Const" version="opset1">
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-				<attribute name="precise" version="0" />
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-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="FP32" names="1399,qkv.37">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>7680</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3617" name="Constant_300041" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559170" size="32" />
+		<layer id="1405" name="__module.model.gpt_neox.layers.9.attention/prim::ListConstruct" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="297559074" size="32" />
 			<rt_info>
 				<attribute name="precise" version="0" />
 			</rt_info>
@@ -55066,160 +21744,128 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3618" name="__module.model.gpt_neox.layers.16.attention/aten::slice/Slice_3" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1406" name="__module.model.gpt_neox.layers.9.attention/aten::view/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
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 				</port>
 				<port id="1" precision="I64">
 					<dim>4</dim>
 				</port>
-				<port id="2" precision="I64">
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-				<port id="3" precision="I64">
-					<dim>4</dim>
-				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="2754,x2.65">
+				<port id="2" precision="FP32" names="1403,qkv.39">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>40</dim>
+					<dim>32</dim>
+					<dim>240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3619" name="Constant_325354_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 1, 1" offset="297887002" size="2" />
+		<layer id="1407" name="Constant_6421" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559264" size="8" />
 			<output>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3620" name="Constant_325354" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
-			<input>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+		<layer id="1408" name="Constant_6423" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559254" size="8" />
+			<output>
+				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
-			</input>
+			</output>
+		</layer>
+		<layer id="1409" name="Constant_6425" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
 			<output>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3621" name="__module.model.gpt_neox.layers.16.attention/aten::neg/Multiply" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="1410" name="__module.model.gpt_neox.layers.9.attention/aten::slice/Slice_10" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>40</dim>
+					<dim>32</dim>
+					<dim>240</dim>
 				</port>
-				<port id="1" precision="FP32">
+				<port id="1" precision="I64">
 					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
 					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
 					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2755">
+				<port id="5" precision="FP32" names="1410">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>40</dim>
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-			</output>
-		</layer>
-		<layer id="3622" name="Constant_300086" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559106" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>32</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3623" name="Constant_300091" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559170" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1411" name="Constant_6434" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="297559122" size="32" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I64" names="1411">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3624" name="__module.model.gpt_neox.layers.16.attention/aten::slice/Slice_4" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1412" name="__module.model.gpt_neox.layers.9.attention/aten::permute/Transpose_2" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>4</dim>
 				</port>
-				<port id="2" precision="I64">
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-				</port>
-				<port id="3" precision="I64">
-					<dim>4</dim>
-				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="2749">
+				<port id="2" precision="FP32" names="1412">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>40</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3625" name="__module.model.gpt_neox.layers.16.attention/aten::cat/Concat" type="Concat" version="opset1">
-			<data axis="-1" />
+		<layer id="1413" name="__module.model.gpt_neox.layers.9.attention/aten::cat/Concat_5" type="Concat" version="opset1">
+			<data axis="-2" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>40</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>40</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2757">
+				<port id="2" precision="FP32" names="present.9.value">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -55227,61 +21873,53 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3626" name="self.model.gpt_neox.layers.16.attention.rotary_emb.sin_cached_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="2048, 80" offset="297887004" size="327680" />
+		<layer id="1415" name="Constant_52318_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="" offset="0" size="2" />
 			<output>
-				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.16.attention.rotary_emb.sin_cached">
-					<dim>2048</dim>
-					<dim>80</dim>
-				</port>
+				<port id="0" precision="FP16" />
 			</output>
 		</layer>
-		<layer id="3627" name="self.model.gpt_neox.layers.16.attention.rotary_emb.sin_cached" type="Convert" version="opset1">
+		<layer id="1416" name="Constant_52318" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
 			</rt_info>
 			<input>
-				<port id="0" precision="FP16">
-					<dim>2048</dim>
-					<dim>80</dim>
-				</port>
+				<port id="0" precision="FP16" />
 			</input>
 			<output>
-				<port id="1" precision="FP32">
-					<dim>2048</dim>
-					<dim>80</dim>
+				<port id="1" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="1417" name="Constant_52311" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="10" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3628" name="__module.model.gpt_neox.layers.16.attention.rotary_emb/aten::slice/Unsqueeze_4" type="Const" version="opset1">
+		<layer id="1418" name="Constant_52313" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="2" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3629" name="__module.model.gpt_neox.layers.16.attention.rotary_emb/aten::slice/Unsqueeze_6" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886946" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1419" name="Constant_52315" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="18" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3630" name="__module.model.gpt_neox.layers.16.attention.rotary_emb/aten::slice/Slice_1" type="StridedSlice" version="opset1">
-			<data begin_mask="0" end_mask="0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1420" name="Concat_52316" type="Concat" version="opset1">
+			<data axis="0" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>2048</dim>
-					<dim>80</dim>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -55294,59 +21932,55 @@
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="2734,2737,sin.65">
-					<dim>-1</dim>
-					<dim>80</dim>
+				<port id="4" precision="I64">
+					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3631" name="Constant_38326" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="258211866" size="4" />
-			<output>
-				<port id="0" precision="I32" />
-			</output>
-		</layer>
-		<layer id="3632" name="__module.model.gpt_neox.layers.16.attention/aten::index/Gather_1" type="Gather" version="opset8">
-			<data batch_dims="0" />
+		<layer id="1421" name="Broadcast_52319" type="Broadcast" version="opset3">
+			<data mode="numpy" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-				<port id="1" precision="I32">
-					<dim>-1</dim>
-					<dim>-1</dim>
+				<port id="0" precision="FP32" />
+				<port id="1" precision="I64">
+					<dim>4</dim>
 				</port>
-				<port id="2" precision="I32" />
 			</input>
 			<output>
-				<port id="3" precision="FP32" names="2742">
-					<dim>-1</dim>
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>0</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3633" name="__module.model.gpt_neox.layers.16.attention/aten::unsqueeze/Unsqueeze_1" type="Unsqueeze" version="opset1">
+		<layer id="1422" name="ReadValue_49858" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.9.keypresent.9.key" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>0</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2743,sin.67">
+				<port id="1" precision="FP32" names="past_key_values.9.key">
 					<dim>-1</dim>
-					<dim>1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3634" name="__module.model.gpt_neox.layers.16.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="1423" name="Constant_47383" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="2" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="1424" name="Gather_47384" type="Gather" version="opset8">
+			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -55354,15 +21988,13 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>1</dim>
+				<port id="1" precision="I32">
 					<dim>-1</dim>
-					<dim>80</dim>
 				</port>
+				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2758">
+				<port id="3" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -55370,40 +22002,69 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3635" name="__module.model.gpt_neox.layers.16.attention/aten::add/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="1425" name="Constant_6403" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="18" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1426" name="Constant_6405" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559264" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1427" name="Constant_6407" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1428" name="__module.model.gpt_neox.layers.9.attention/aten::slice/Slice_5" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-				<port id="1" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>240</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2759,2777,2787,query.101,query.99">
+				<port id="5" precision="FP32" names="1407">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3636" name="Constant_9532" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559202" size="32" />
+		<layer id="1429" name="Constant_6416" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="297559122" size="32" />
 			<output>
-				<port id="0" precision="I64" names="2715">
+				<port id="0" precision="I64" names="1408">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3637" name="__module.model.gpt_neox.layers.16.attention/aten::permute/Transpose_1" type="Transpose" version="opset1">
+		<layer id="1430" name="__module.model.gpt_neox.layers.9.attention/aten::permute/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -55416,7 +22077,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2716,key.97">
+				<port id="2" precision="FP32" names="1409,key.37">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -55424,41 +22085,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3638" name="Constant_300137" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559106" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1431" name="Constant_6459" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3639" name="Constant_300140" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559138" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1432" name="Constant_6461" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="18" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3640" name="Constant_300143" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559170" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1433" name="Constant_6463" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3641" name="__module.model.gpt_neox.layers.16.attention/aten::slice/Slice_6" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1434" name="__module.model.gpt_neox.layers.9.attention/aten::slice/Slice_6" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -55467,17 +22118,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="2722,k.33">
+				<port id="5" precision="FP32" names="1415,k.19">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -55485,7 +22139,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3642" name="__module.model.gpt_neox.layers.16.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
+		<layer id="1435" name="__module.model.gpt_neox.layers.9.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -55502,7 +22156,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2760">
+				<port id="2" precision="FP32" names="1435">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -55510,165 +22164,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3643" name="Constant_300147" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559106" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3644" name="Constant_300146" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886962" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1436" name="Constant_6740" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559246" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3645" name="__module.model.gpt_neox.layers.16.attention/aten::size/ShapeOf_7" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3646" name="__module.model.gpt_neox.layers.16.attention/aten::size/Constant_7" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="258211866" size="4" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I32" />
-			</output>
-		</layer>
-		<layer id="3647" name="__module.model.gpt_neox.layers.16.attention/aten::size/Gather_7" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="1" precision="I64" />
-				<port id="2" precision="I32" />
-			</input>
-			<output>
-				<port id="3" precision="I64" names="2761,2766" />
-			</output>
-		</layer>
-		<layer id="3648" name="__module.model.gpt_neox.layers.16.attention/aten::floor_divide/Divide_3" type="Divide" version="opset1">
-			<data auto_broadcast="numpy" m_pythondiv="true" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
-			</input>
-			<output>
-				<port id="2" precision="I64" />
-			</output>
-		</layer>
-		<layer id="3649" name="__module.model.gpt_neox.layers.16.attention/aten::floor_divide/Floor_3" type="Floor" version="opset1">
-			<input>
-				<port id="0" precision="I64" />
-			</input>
-			<output>
-				<port id="1" precision="I64" names="2763,2764,2768,2769" />
-			</output>
-		</layer>
-		<layer id="3650" name="Constant_337748" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886946" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1437" name="Constant_6742" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559254" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3651" name="__module.model.gpt_neox.layers.16.attention/aten::slice/Unsqueeze_33" type="Reshape" version="opset1">
-			<data special_zero="false" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="I64">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3652" name="Constant_300145" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="258211866" size="4" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1438" name="Constant_6744" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
 			<output>
-				<port id="0" precision="I32">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3653" name="ScatterUpdate_300148" type="ScatterUpdate" version="opset3">
-			<input>
 				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="4" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3654" name="Constant_300151" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297886970" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3655" name="Constant_300154" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559170" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
 			</output>
 		</layer>
-		<layer id="3656" name="__module.model.gpt_neox.layers.16.attention/aten::slice/Slice_7" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1439" name="__module.model.gpt_neox.layers.9.attention/aten::slice/Slice_7" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -55677,17 +22197,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="2770,x2.67">
+				<port id="5" precision="FP32" names="1445,x2.39">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -55695,8 +22218,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3657" name="Constant_325355_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 1, 1" offset="297887002" size="2" />
+		<layer id="1440" name="Constant_36979_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 1, 1" offset="297559262" size="2" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -55706,7 +22229,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3658" name="Constant_325355" type="Convert" version="opset1">
+		<layer id="1441" name="Constant_36979" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -55728,7 +22251,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3659" name="__module.model.gpt_neox.layers.16.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
+		<layer id="1442" name="__module.model.gpt_neox.layers.9.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -55745,38 +22268,39 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2771">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>40</dim>
+				<port id="2" precision="FP32" names="1446">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1443" name="Constant_6637" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3660" name="Constant_300199" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559106" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1444" name="Constant_6681" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559246" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3661" name="Constant_300204" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559170" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1445" name="Constant_6683" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3662" name="__module.model.gpt_neox.layers.16.attention/aten::slice/Slice_8" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1446" name="__module.model.gpt_neox.layers.9.attention/aten::slice/Slice_8" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -55785,17 +22309,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="2765">
+				<port id="5" precision="FP32" names="1440">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -55803,7 +22330,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3663" name="__module.model.gpt_neox.layers.16.attention/aten::cat/Concat_2" type="Concat" version="opset1">
+		<layer id="1447" name="__module.model.gpt_neox.layers.9.attention/aten::cat/Concat_2" type="Concat" version="opset1">
 			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
@@ -55820,7 +22347,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2773">
+				<port id="2" precision="FP32" names="1448">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -55828,7 +22355,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3664" name="__module.model.gpt_neox.layers.16.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
+		<layer id="1448" name="__module.model.gpt_neox.layers.9.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -55845,7 +22372,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2774">
+				<port id="2" precision="FP32" names="1449">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -55853,7 +22380,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3665" name="__module.model.gpt_neox.layers.16.attention/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="1449" name="__module.model.gpt_neox.layers.9.attention/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -55870,7 +22397,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2775,2779">
+				<port id="2" precision="FP32" names="1450,1454">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -55878,7 +22405,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3666" name="__module.model.gpt_neox.layers.16.attention/aten::to/Convert_1" type="Concat" version="opset1">
+		<layer id="1450" name="__module.model.gpt_neox.layers.9.attention/aten::cat/Concat_4" type="Concat" version="opset1">
 			<data axis="-2" />
 			<input>
 				<port id="0" precision="FP32">
@@ -55895,7 +22422,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="present.16.key">
+				<port id="2" precision="FP32" names="present.9.key">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -55903,13 +22430,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3667" name="Constant_433067_compressed" type="Const" version="opset1">
+		<layer id="1462" name="Constant_52330_compressed" type="Const" version="opset1">
 			<data element_type="f16" shape="" offset="0" size="2" />
 			<output>
 				<port id="0" precision="FP16" />
 			</output>
 		</layer>
-		<layer id="3668" name="Constant_433067" type="Convert" version="opset1">
+		<layer id="1463" name="Constant_52330" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -55921,7 +22448,7 @@
 				<port id="1" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="3669" name="Constant_433060" type="Const" version="opset1">
+		<layer id="1464" name="Constant_52323" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="10" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -55929,7 +22456,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3670" name="Constant_433062" type="Const" version="opset1">
+		<layer id="1465" name="Constant_52325" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -55937,7 +22464,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3671" name="Constant_433064" type="Const" version="opset1">
+		<layer id="1466" name="Constant_52327" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="18" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -55945,7 +22472,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3672" name="Concat_433065" type="Concat" version="opset1">
+		<layer id="1467" name="Concat_52328" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -55967,7 +22494,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3673" name="Broadcast_433068" type="Broadcast" version="opset3">
+		<layer id="1468" name="Broadcast_52331" type="Broadcast" version="opset3">
 			<data mode="numpy" />
 			<input>
 				<port id="0" precision="FP32" />
@@ -55984,8 +22511,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3674" name="ReadValue_417316" type="ReadValue" version="opset6">
-			<data variable_id="past_key_values.16.valuepresent.16.value" variable_type="f32" variable_shape="?,32,?,80" />
+		<layer id="1469" name="ReadValue_49836" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.31.valuepresent.31.value" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -55995,7 +22522,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="past_key_values.16.value">
+				<port id="1" precision="FP32" names="past_key_values.31.value">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -56003,13 +22530,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3675" name="Constant_401989" type="Const" version="opset1">
+		<layer id="1470" name="Constant_47518" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="3676" name="Gather_401990" type="Gather" version="opset8">
+		<layer id="1471" name="Gather_47519" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
@@ -56032,41 +22559,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3677" name="Constant_300249" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297886914" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1472" name="Constant_6385" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3678" name="Constant_300252" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297886970" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1473" name="Constant_6387" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="18" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3679" name="Constant_300255" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559170" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1474" name="Constant_6389" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3680" name="__module.model.gpt_neox.layers.16.attention/aten::slice/Slice_10" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1475" name="__module.model.gpt_neox.layers.9.attention/aten::slice/Slice" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -56075,17 +22592,20 @@
 					<dim>240</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="2717">
+				<port id="5" precision="FP32" names="1404">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
@@ -56093,15 +22613,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3681" name="Constant_9546" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559202" size="32" />
+		<layer id="1476" name="Constant_6398" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="297559122" size="32" />
 			<output>
-				<port id="0" precision="I64" names="2718">
+				<port id="0" precision="I64" names="1405">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3682" name="__module.model.gpt_neox.layers.16.attention/aten::permute/Transpose_2" type="Transpose" version="opset1">
+		<layer id="1477" name="__module.model.gpt_neox.layers.9.attention/aten::permute/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -56114,32 +22634,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2719">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3683" name="__module.model.gpt_neox.layers.16.attention/aten::cat/Concat_5" type="Concat" version="opset1">
-			<data axis="-2" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="present.16.value">
+				<port id="2" precision="FP32" names="1406,query.19">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -56147,41 +22642,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3684" name="__module.model.gpt_neox.layers.16.attention/aten::slice/Slice_11" type="Const" version="opset1">
-			<data element_type="boolean" shape="1, 1, 2048, 2048" offset="298214684" size="4194304" />
+		<layer id="1478" name="Constant_6439" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
-				<port id="0" precision="BOOL" names="2796">
-					<dim>1</dim>
+				<port id="0" precision="I64">
 					<dim>1</dim>
-					<dim>2048</dim>
-					<dim>2048</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3685" name="Constant_300259" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="302408988" size="24" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1479" name="Constant_6441" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="18" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>3</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3686" name="Constant_300258" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886954" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1480" name="Constant_6443" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3687" name="ShapeOf_339375" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="1481" name="__module.model.gpt_neox.layers.9.attention/aten::slice/Slice_1" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -56189,56 +22674,30 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-			</input>
-			<output>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="3688" name="Constant_339376" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="297886954" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I64" />
-			</output>
-		</layer>
-		<layer id="3689" name="Constant_339377" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="2" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I64" />
-			</output>
-		</layer>
-		<layer id="3690" name="Gather_339378" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
-				<port id="1" precision="I64" />
-				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" />
+				<port id="5" precision="FP32" names="1413,q.19">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="3691" name="Add_339379" type="Add" version="opset1">
+		<layer id="1482" name="__module.model.gpt_neox.layers.9.attention/aten::mul/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
-			</input>
-			<output>
-				<port id="2" precision="I64" names="2791" />
-			</output>
-		</layer>
-		<layer id="3692" name="ShapeOf_339446" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -56246,94 +22705,53 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-			</input>
-			<output>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3693" name="Constant_339447" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="297886954" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I64" />
-			</output>
-		</layer>
-		<layer id="3694" name="Constant_339448" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="2" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I64" />
-			</output>
-		</layer>
-		<layer id="3695" name="Gather_339449" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64" />
-				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="2789" />
-			</output>
-		</layer>
-		<layer id="3696" name="__module.model.gpt_neox.layers.16.attention/aten::sub/Subtract" type="Subtract" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
-			</input>
-			<output>
-				<port id="2" precision="I64" names="2793,2794" />
+				<port id="2" precision="FP32" names="1419">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="3697" name="Constant_337750" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886946" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1483" name="Constant_6597" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559246" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3698" name="__module.model.gpt_neox.layers.16.attention/aten::slice/Unsqueeze_44" type="Reshape" version="opset1">
-			<data special_zero="false" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-			</input>
+		<layer id="1484" name="Constant_6599" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559254" size="8" />
 			<output>
-				<port id="2" precision="I64">
+				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3699" name="Constant_300257" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="258211866" size="4" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1485" name="Constant_6601" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
 			<output>
-				<port id="0" precision="I32">
+				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3700" name="ScatterUpdate_300260" type="ScatterUpdate" version="opset3">
+		<layer id="1486" name="__module.model.gpt_neox.layers.9.attention/aten::slice/Slice_2" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64">
-					<dim>3</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -56341,160 +22759,111 @@
 				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
+				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
-			</input>
-			<output>
 				<port id="4" precision="I64">
-					<dim>3</dim>
+					<dim>1</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="3701" name="Constant_300261" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="302408988" size="24" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+			</input>
 			<output>
-				<port id="0" precision="I64">
-					<dim>3</dim>
+				<port id="5" precision="FP32" names="1429,x2.37">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3702" name="Constant_337752" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886946" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1487" name="Constant_36978_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 1, 1" offset="297559262" size="2" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="FP16">
+					<dim>1</dim>
 					<dim>1</dim>
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-			</output>
-		</layer>
-		<layer id="3703" name="__module.model.gpt_neox.layers.16.attention/aten::slice/Unsqueeze_45" type="Reshape" version="opset1">
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-				<port id="1" precision="I64">
 					<dim>1</dim>
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-				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3704" name="ScatterUpdate_300262" type="ScatterUpdate" version="opset3">
+		<layer id="1488" name="Constant_36978" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
-				<port id="0" precision="I64">
-					<dim>3</dim>
-				</port>
-				<port id="1" precision="I64">
+				<port id="0" precision="FP16">
+					<dim>1</dim>
 					<dim>1</dim>
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-				<port id="2" precision="I64">
 					<dim>1</dim>
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 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
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-					<dim>3</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3705" name="Constant_300265" type="Const" version="opset1">
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-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I64">
-					<dim>3</dim>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3706" name="__module.model.gpt_neox.layers.16.attention/aten::slice/Slice_12" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 0" end_mask="1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1489" name="__module.model.gpt_neox.layers.9.attention/aten::neg/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="BOOL">
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="FP32">
 					<dim>1</dim>
 					<dim>1</dim>
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-					<dim>2048</dim>
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-				<port id="1" precision="I64">
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-				</port>
-				<port id="2" precision="I64">
-					<dim>3</dim>
-				</port>
-				<port id="3" precision="I64">
-					<dim>3</dim>
-				</port>
-			</input>
-			<output>
-				<port id="4" precision="BOOL" names="2797">
 					<dim>1</dim>
 					<dim>1</dim>
-					<dim>-1</dim>
-					<dim>2048</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="3707" name="Constant_300338" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559106" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+			</input>
 			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="FP32" names="1430">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3708" name="Constant_300339" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559106" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1490" name="Constant_6494" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3709" name="Constant_300335" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886962" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1491" name="Constant_6538" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559246" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3710" name="Constant_300334" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="258211866" size="4" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1492" name="Constant_6540" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
 			<output>
-				<port id="0" precision="I32">
+				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3711" name="ScatterUpdate_300340" type="ScatterUpdate" version="opset3">
+		<layer id="1493" name="__module.model.gpt_neox.layers.9.attention/aten::slice/Slice_3" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -56502,133 +22871,113 @@
 				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
+				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
-			</input>
-			<output>
 				<port id="4" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="3712" name="Constant_300343" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559170" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+			</input>
 			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="5" precision="FP32" names="1424">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3713" name="__module.model.gpt_neox.layers.16.attention/aten::slice/Slice_13" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1494" name="__module.model.gpt_neox.layers.9.attention/aten::cat/Concat" type="Concat" version="opset1">
+			<data axis="-1" />
 			<input>
-				<port id="0" precision="BOOL">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>2048</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
-				<port id="3" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="BOOL" names="2798,2799">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="1432">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3714" name="__module.model.gpt_neox.layers.16.attention/aten::where/Convert_1_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="" offset="0" size="2" />
-			<output>
-				<port id="0" precision="FP16" />
-			</output>
-		</layer>
-		<layer id="3715" name="__module.model.gpt_neox.layers.16.attention/aten::where/Convert_1" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
-			<input>
-				<port id="0" precision="FP16" />
-			</input>
-			<output>
-				<port id="1" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="3716" name="__module.model.gpt_neox.layers.16.attention/aten::full/Convert" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="302409036" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="2786" />
-			</output>
-		</layer>
-		<layer id="3717" name="__module.model.gpt_neox.layers.16.attention/aten::where/Select" type="Select" version="opset1">
+		<layer id="1495" name="__module.model.gpt_neox.layers.9.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="BOOL">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-				<port id="1" precision="FP32" />
-				<port id="2" precision="FP32" />
 			</input>
 			<output>
-				<port id="3" precision="FP32" names="2800,causal_mask.65">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="1433">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3718" name="Add_316140" type="Add" version="opset1">
+		<layer id="1496" name="__module.model.gpt_neox.layers.9.attention/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="FP32">
 					<dim>-1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
-					<dim>-1</dim>
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="1434,1452">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1497" name="Constant_6816" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3719" name="ShapeOf_316141" type="ShapeOf" version="opset3">
+		<layer id="1498" name="ShapeOf_38856" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>1</dim>
-					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
@@ -56637,27 +22986,21 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3720" name="Constant_339452" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="2" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1499" name="Constant_38857" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559280" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3721" name="Constant_339453" type="Const" version="opset1">
+		<layer id="1500" name="Constant_38858" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="2" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="3722" name="Gather_339454" type="Gather" version="opset8">
+		<layer id="1501" name="Gather_38859" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -56669,84 +23012,83 @@
 				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="2784">
+				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3723" name="Constant_268121" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886946" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1502" name="ShapeOf_38860" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
+				<port id="1" precision="I64">
+					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3724" name="Constant_268123" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886946" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1503" name="Constant_38861" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559280" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3725" name="Constant_268125" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886946" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1504" name="Constant_38862" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="2" size="8" />
 			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
-				</port>
+				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="3726" name="__module.model.gpt_neox.layers.16.attention/prim::ListConstruct/Concat_1" type="Concat" version="opset1">
-			<data axis="0" />
+		<layer id="1505" name="Gather_38863" type="Gather" version="opset8">
+			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
-					<dim>1</dim>
+					<dim>4</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="2" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="I64">
-					<dim>1</dim>
-				</port>
+				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="4" precision="I64" names="2801">
-					<dim>4</dim>
+				<port id="3" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3727" name="Maximum_316142" type="Maximum" version="opset1">
+		<layer id="1506" name="Add_38864" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="I64" names="1459">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3728" name="__module.model.gpt_neox.layers.16.attention/aten::add/Add_2" type="Broadcast" version="opset3">
-			<data mode="numpy" />
+		<layer id="1507" name="Constant_6819" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1508" name="__module.model.gpt_neox.layers.9.attention/aten::slice/Slice_14" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -56755,11 +23097,20 @@
 					<dim>-1</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2803">
+				<port id="5" precision="FP32" names="1463">
 					<dim>-1</dim>
 					<dim>1</dim>
 					<dim>-1</dim>
@@ -56767,7 +23118,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3729" name="__module.model.gpt_neox.layers.16.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+		<layer id="1509" name="__module.model.gpt_neox.layers.9.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
 			<data causal="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -56796,7 +23147,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="2804,2805,sdpa_result.33,tensor.65">
+				<port id="4" precision="FP32" names="1464,attn_output.73">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -56804,15 +23155,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3730" name="Constant_9987" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559202" size="32" />
+		<layer id="1510" name="__module.model.gpt_neox.layers.9.attention/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="297559312" size="16" />
 			<output>
-				<port id="0" precision="I64" names="2806">
+				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3731" name="__module.model.gpt_neox.layers.16.attention/aten::permute/Transpose_3" type="Transpose" version="opset1">
+		<layer id="1511" name="__module.model.gpt_neox.layers.9.attention/aten::transpose/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -56820,12 +23171,12 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2807">
+				<port id="2" precision="FP32" names="1465">
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 					<dim>-1</dim>
 					<dim>32</dim>
@@ -56833,8 +23184,8 @@
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 			</output>
 		</layer>
-		<layer id="3732" name="__module.model.gpt_neox.layers.16.attention/prim::ListConstruct/Concat_2" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="302409066" size="24" />
+		<layer id="1512" name="Constant_40544" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="297559328" size="24" />
 			<rt_info>
 				<attribute name="precise" version="0" />
 			</rt_info>
@@ -56844,7 +23195,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3733" name="__module.model.gpt_neox.layers.16.attention/aten::view/Reshape_1" type="Reshape" version="opset1">
+		<layer id="1513" name="__module.model.gpt_neox.layers.9.attention/aten::view/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -56858,23 +23209,23 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2812">
+				<port id="2" precision="FP32" names="1468">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3734" name="self.model.gpt_neox.layers.16.attention.dense.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="2560, 2560" offset="2820056450" size="13107200" />
+		<layer id="1514" name="self.model.gpt_neox.layers.9.attention.dense.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="2560, 2560" offset="1713735992" size="13107200" />
 			<output>
-				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.16.attention.dense.weight">
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.9.attention.dense.weight">
 					<dim>2560</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3735" name="self.model.gpt_neox.layers.16.attention.dense.weight" type="Convert" version="opset1">
+		<layer id="1515" name="self.model.gpt_neox.layers.9.attention.dense.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -56892,7 +23243,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3736" name="__module.model.gpt_neox.layers.16.attention.dense/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="1516" name="__module.model.gpt_neox.layers.9.attention.dense/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -56913,8 +23264,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3737" name="Constant_325356_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 2560" offset="2833163650" size="5120" />
+		<layer id="1517" name="Constant_36980_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 2560" offset="1726843192" size="5120" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -56923,7 +23274,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3738" name="Constant_325356" type="Convert" version="opset1">
+		<layer id="1518" name="Constant_36980" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -56943,7 +23294,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3739" name="__module.model.gpt_neox.layers.16.attention.dense/aten::linear/Add" type="Add" version="opset1">
+		<layer id="1519" name="__module.model.gpt_neox.layers.9.attention.dense/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -56958,14 +23309,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2815,2817,input.67">
+				<port id="2" precision="FP32" names="1471,1473,input.37">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3740" name="__module.model.gpt_neox.layers.16/aten::add/Add" type="Add" version="opset1">
+		<layer id="1520" name="__module.model.gpt_neox.layers.9/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -56980,14 +23331,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2821,attn_output.67">
+				<port id="2" precision="FP32" names="1477,attn_output.79">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3741" name="__module.model.gpt_neox.layers.16.post_attention_layernorm/aten::layer_norm/Constant" type="Const" version="opset1">
+		<layer id="1521" name="__module.model.gpt_neox.layers.9.post_attention_layernorm/aten::layer_norm/Multiply" type="Const" version="opset1">
 			<data element_type="i32" shape="1" offset="258211870" size="4" />
 			<output>
 				<port id="0" precision="I32">
@@ -56995,7 +23346,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3742" name="__module.model.gpt_neox.layers.16.post_attention_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
+		<layer id="1522" name="__module.model.gpt_neox.layers.9.post_attention_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -57015,8 +23366,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3743" name="Constant_325357_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 2560" offset="2833168770" size="5120" />
+		<layer id="1523" name="Constant_36981_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 2560" offset="1726848312" size="5120" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -57025,7 +23376,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3744" name="Constant_325357" type="Convert" version="opset1">
+		<layer id="1524" name="Constant_36981" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -57045,7 +23396,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3745" name="__module.model.gpt_neox.layers.16.post_attention_layernorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
+		<layer id="1525" name="__module.model.gpt_neox.layers.9.post_attention_layernorm/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -57067,8 +23418,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3746" name="Constant_325358_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 2560" offset="2833173890" size="5120" />
+		<layer id="1526" name="Constant_36982_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 2560" offset="1726853432" size="5120" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -57077,7 +23428,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3747" name="Constant_325358" type="Convert" version="opset1">
+		<layer id="1527" name="Constant_36982" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -57097,7 +23448,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3748" name="__module.model.gpt_neox.layers.16.post_attention_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="1528" name="__module.model.gpt_neox.layers.9.post_attention_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -57112,23 +23463,23 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2825">
+				<port id="2" precision="FP32" names="1481">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3749" name="self.model.gpt_neox.layers.16.mlp.dense_h_to_4h.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="10240, 2560" offset="2833179010" size="52428800" />
+		<layer id="1529" name="self.model.gpt_neox.layers.9.mlp.dense_h_to_4h.weight" type="Const" version="opset1">
+			<data element_type="f16" shape="10240, 2560" offset="1726858552" size="52428800" />
 			<output>
-				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.16.mlp.dense_h_to_4h.weight">
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.9.mlp.dense_h_to_4h.weight">
 					<dim>10240</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3750" name="self.model.gpt_neox.layers.16.mlp.dense_h_to_4h.weight" type="Convert" version="opset1">
+		<layer id="1530" name="__module.model.gpt_neox.layers.9.mlp.dense_h_to_4h/ov_ext::linear/ConvertLike" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -57146,7 +23497,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3751" name="__module.model.gpt_neox.layers.16.mlp.dense_h_to_4h/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="1531" name="__module.model.gpt_neox.layers.9.mlp.dense_h_to_4h/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -57167,37 +23518,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3752" name="Constant_325359_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 10240" offset="2885607810" size="20480" />
+		<layer id="1532" name="self.model.gpt_neox.layers.9.mlp.dense_h_to_4h.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="10240" offset="1779287352" size="20480" />
 			<output>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.9.mlp.dense_h_to_4h.bias">
 					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3753" name="Constant_325359" type="Convert" version="opset1">
+		<layer id="1533" name="__module.model.gpt_neox.layers.9.mlp.dense_h_to_4h/ov_ext::linear/ConvertLike_1" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>10240</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3754" name="__module.model.gpt_neox.layers.16.mlp.dense_h_to_4h/aten::linear/Add" type="Add" version="opset1">
+		<layer id="1534" name="__module.model.gpt_neox.layers.9.mlp.dense_h_to_4h/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -57206,20 +23551,18 @@
 					<dim>10240</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>10240</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2830">
+				<port id="2" precision="FP32" names="1486">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3755" name="__module.model.gpt_neox.layers.16.mlp.act/aten::gelu/Gelu" type="Gelu" version="opset7">
+		<layer id="1535" name="__module.model.gpt_neox.layers.9.mlp.act/aten::gelu/Gelu" type="Gelu" version="opset7">
 			<data approximation_mode="ERF" />
 			<input>
 				<port id="0" precision="FP32">
@@ -57229,23 +23572,23 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="2831">
+				<port id="1" precision="FP32" names="1487">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3756" name="self.model.gpt_neox.layers.16.mlp.dense_4h_to_h.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="2560, 10240" offset="2885628290" size="52428800" />
+		<layer id="1536" name="self.model.gpt_neox.layers.9.mlp.dense_4h_to_h.weight" type="Const" version="opset1">
+			<data element_type="f16" shape="2560, 10240" offset="1779307832" size="52428800" />
 			<output>
-				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.16.mlp.dense_4h_to_h.weight">
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.9.mlp.dense_4h_to_h.weight">
 					<dim>2560</dim>
 					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3757" name="self.model.gpt_neox.layers.16.mlp.dense_4h_to_h.weight" type="Convert" version="opset1">
+		<layer id="1537" name="__module.model.gpt_neox.layers.9.mlp.dense_4h_to_h/ov_ext::linear/ConvertLike" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -57263,7 +23606,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3758" name="__module.model.gpt_neox.layers.16.mlp.dense_4h_to_h/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="1538" name="__module.model.gpt_neox.layers.9.mlp.dense_4h_to_h/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -57284,37 +23627,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3759" name="Constant_325360_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 2560" offset="2938057090" size="5120" />
+		<layer id="1539" name="self.model.gpt_neox.layers.9.mlp.dense_4h_to_h.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="2560" offset="1831736632" size="5120" />
 			<output>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.9.mlp.dense_4h_to_h.bias">
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3760" name="Constant_325360" type="Convert" version="opset1">
+		<layer id="1540" name="__module.model.gpt_neox.layers.9.mlp.dense_4h_to_h/ov_ext::linear/ConvertLike_1" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3761" name="__module.model.gpt_neox.layers.16.mlp.dense_4h_to_h/aten::linear/Add" type="Add" version="opset1">
+		<layer id="1541" name="__module.model.gpt_neox.layers.9.mlp.dense_4h_to_h/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -57323,20 +23660,18 @@
 					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2834,input.69">
+				<port id="2" precision="FP32" names="1490,input.39">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3762" name="__module.model.gpt_neox.layers.16/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="1542" name="__module.model.gpt_neox.layers.9/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -57351,14 +23686,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2836,2838,hidden_states.35">
+				<port id="2" precision="FP32" names="1492,1494,hidden_states.43">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3763" name="__module.model.gpt_neox.layers.17.input_layernorm/aten::layer_norm/Constant" type="Const" version="opset1">
+		<layer id="1543" name="__module.model.gpt_neox.layers.10.input_layernorm/aten::layer_norm/Multiply" type="Const" version="opset1">
 			<data element_type="i32" shape="1" offset="258211870" size="4" />
 			<output>
 				<port id="0" precision="I32">
@@ -57366,7 +23701,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3764" name="__module.model.gpt_neox.layers.17.input_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
+		<layer id="1544" name="__module.model.gpt_neox.layers.10.input_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -57386,8 +23721,8 @@
 				</port>
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@@ -57396,7 +23731,7 @@
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@@ -57416,7 +23751,7 @@
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+		<layer id="1555" name="Constant_36985" type="Convert" version="opset1">
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 		</layer>
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+		<layer id="1559" name="Constant_7015" type="Const" version="opset1">
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+			</output>
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+		<layer id="1560" name="Constant_7017" type="Const" version="opset1">
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 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
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+		<layer id="1561" name="Constant_7019" type="Const" version="opset1">
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 		</layer>
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+		<layer id="1562" name="__module.model.gpt_neox.layers.10.attention/aten::slice/Slice" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
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-					<dim>80</dim>
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@@ -58169,77 +23998,41 @@
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 			<output>
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 					<dim>-1</dim>
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+		<layer id="1563" name="Constant_7028" type="Const" version="opset1">
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-					<dim>80</dim>
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 			</output>
 		</layer>
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-			<data auto_broadcast="numpy" />
+		<layer id="1564" name="__module.model.gpt_neox.layers.10.attention/aten::permute/Transpose" type="Transpose" version="opset1">
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 				<port id="0" precision="FP32">
 					<dim>-1</dim>
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 					<dim>-1</dim>
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 			</input>
 			<output>
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+				<port id="2" precision="FP32" names="1518,query.21">
 					<dim>-1</dim>
 					<dim>32</dim>
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@@ -58247,30 +24040,31 @@
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 		</layer>
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-				<attribute name="precise" version="0" />
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 				<port id="0" precision="I64">
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 		</layer>
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+		<layer id="1566" name="Constant_7071" type="Const" version="opset1">
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 		</layer>
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+		<layer id="1567" name="Constant_7073" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
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+				<port id="0" precision="I64">
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+			</output>
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+		<layer id="1568" name="__module.model.gpt_neox.layers.10.attention/aten::slice/Slice_1" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -58278,134 +24072,78 @@
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 					<dim>80</dim>
 				</port>
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 				<port id="1" precision="I64">
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 			</input>
 			<output>
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-				<port id="1" precision="I64">
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
 					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64">
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="1531">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3832" name="Constant_300383" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="258211866" size="4" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1570" name="Constant_7227" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559246" size="8" />
 			<output>
-				<port id="0" precision="I32">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3833" name="ScatterUpdate_300386" type="ScatterUpdate" version="opset3">
-			<input>
 				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="4" precision="I64">
-					<dim>4</dim>
-				</port>
 			</output>
 		</layer>
-		<layer id="3834" name="Constant_300389" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297886970" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1571" name="Constant_7229" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559254" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3835" name="Constant_300392" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559170" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1572" name="Constant_7231" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3836" name="__module.model.gpt_neox.layers.17.attention/aten::slice/Slice_3" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1573" name="__module.model.gpt_neox.layers.10.attention/aten::slice/Slice_2" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -58414,17 +24152,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="2903,x2.69">
+				<port id="5" precision="FP32" names="1541,x2.41">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -58432,8 +24173,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3837" name="Constant_325364_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 1, 1" offset="297887002" size="2" />
+		<layer id="1574" name="Constant_36986_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 1, 1" offset="297559262" size="2" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -58443,7 +24184,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3838" name="Constant_325364" type="Convert" version="opset1">
+		<layer id="1575" name="Constant_36986" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -58465,7 +24206,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3839" name="__module.model.gpt_neox.layers.17.attention/aten::neg/Multiply" type="Multiply" version="opset1">
+		<layer id="1576" name="__module.model.gpt_neox.layers.10.attention/aten::neg/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -58482,7 +24223,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2904">
+				<port id="2" precision="FP32" names="1542">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -58490,30 +24231,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3840" name="Constant_300437" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559106" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1577" name="Constant_7124" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3841" name="Constant_300442" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559170" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1578" name="Constant_7168" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559246" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1579" name="Constant_7170" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3842" name="__module.model.gpt_neox.layers.17.attention/aten::slice/Slice_4" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1580" name="__module.model.gpt_neox.layers.10.attention/aten::slice/Slice_3" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -58522,17 +24264,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="2898">
+				<port id="5" precision="FP32" names="1536">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -58540,7 +24285,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3843" name="__module.model.gpt_neox.layers.17.attention/aten::cat/Concat" type="Concat" version="opset1">
+		<layer id="1581" name="__module.model.gpt_neox.layers.10.attention/aten::cat/Concat" type="Concat" version="opset1">
 			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
@@ -58557,7 +24302,32 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2906">
+				<port id="2" precision="FP32" names="1544">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1582" name="__module.model.gpt_neox.layers.10.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1545">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -58565,61 +24335,78 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3844" name="self.model.gpt_neox.layers.17.attention.rotary_emb.sin_cached_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="2048, 80" offset="297887004" size="327680" />
+		<layer id="1583" name="__module.model.gpt_neox.layers.10.attention/aten::add/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.17.attention.rotary_emb.sin_cached">
-					<dim>2048</dim>
+				<port id="2" precision="FP32" names="1546,1564">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3845" name="self.model.gpt_neox.layers.17.attention.rotary_emb.sin_cached" type="Convert" version="opset1">
+		<layer id="1584" name="Constant_52342_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="" offset="0" size="2" />
+			<output>
+				<port id="0" precision="FP16" />
+			</output>
+		</layer>
+		<layer id="1585" name="Constant_52342" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
 			</rt_info>
 			<input>
-				<port id="0" precision="FP16">
-					<dim>2048</dim>
-					<dim>80</dim>
-				</port>
+				<port id="0" precision="FP16" />
 			</input>
 			<output>
-				<port id="1" precision="FP32">
-					<dim>2048</dim>
-					<dim>80</dim>
+				<port id="1" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="1586" name="Constant_52335" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="10" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3846" name="__module.model.gpt_neox.layers.17.attention.rotary_emb/aten::slice/Unsqueeze_4" type="Const" version="opset1">
+		<layer id="1587" name="Constant_52337" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="2" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3847" name="__module.model.gpt_neox.layers.17.attention.rotary_emb/aten::slice/Unsqueeze_6" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886946" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1588" name="Constant_52339" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="18" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3848" name="__module.model.gpt_neox.layers.17.attention.rotary_emb/aten::slice/Slice_1" type="StridedSlice" version="opset1">
-			<data begin_mask="0" end_mask="0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1589" name="Concat_52340" type="Concat" version="opset1">
+			<data axis="0" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>2048</dim>
-					<dim>80</dim>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -58632,116 +24419,139 @@
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="2883,2886,sin.69">
-					<dim>-1</dim>
-					<dim>80</dim>
+				<port id="4" precision="I64">
+					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3849" name="Constant_38332" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="258211866" size="4" />
+		<layer id="1590" name="Broadcast_52343" type="Broadcast" version="opset3">
+			<data mode="numpy" />
+			<input>
+				<port id="0" precision="FP32" />
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="I32" />
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>0</dim>
+					<dim>80</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="3850" name="__module.model.gpt_neox.layers.17.attention/aten::index/Gather_1" type="Gather" version="opset8">
-			<data batch_dims="0" />
+		<layer id="1591" name="ReadValue_49742" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.10.keypresent.10.key" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>0</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-				</port>
-				<port id="2" precision="I32" />
 			</input>
 			<output>
-				<port id="3" precision="FP32" names="2891">
+				<port id="1" precision="FP32" names="past_key_values.10.key">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3851" name="__module.model.gpt_neox.layers.17.attention/aten::unsqueeze/Unsqueeze_1" type="Unsqueeze" version="opset1">
+		<layer id="1592" name="Constant_47389" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="2" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="1593" name="Gather_47390" type="Gather" version="opset8">
+			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64" />
+				<port id="1" precision="I32">
+					<dim>-1</dim>
+				</port>
+				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2892,sin.71">
+				<port id="3" precision="FP32">
 					<dim>-1</dim>
-					<dim>1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3852" name="__module.model.gpt_neox.layers.17.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
+		<layer id="1594" name="Constant_7033" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="18" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
-				<port id="1" precision="FP32">
-					<dim>-1</dim>
+			</output>
+		</layer>
+		<layer id="1595" name="Constant_7035" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559264" size="8" />
+			<output>
+				<port id="0" precision="I64">
 					<dim>1</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
 				</port>
-			</input>
+			</output>
+		</layer>
+		<layer id="1596" name="Constant_7037" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
 			<output>
-				<port id="2" precision="FP32" names="2907">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3853" name="__module.model.gpt_neox.layers.17.attention/aten::add/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="1597" name="__module.model.gpt_neox.layers.10.attention/aten::slice/Slice_5" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-				<port id="1" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>240</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2908,2926,2936,query.105,query.107">
+				<port id="5" precision="FP32" names="1519">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3854" name="Constant_10113" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559202" size="32" />
+		<layer id="1598" name="Constant_7046" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="297559122" size="32" />
 			<output>
-				<port id="0" precision="I64" names="2864">
+				<port id="0" precision="I64" names="1520">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3855" name="__module.model.gpt_neox.layers.17.attention/aten::permute/Transpose_1" type="Transpose" version="opset1">
+		<layer id="1599" name="__module.model.gpt_neox.layers.10.attention/aten::permute/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -58754,7 +24564,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2865,key.103">
+				<port id="2" precision="FP32" names="1521,key.41">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -58762,41 +24572,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3856" name="Constant_300488" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559106" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1600" name="Constant_7089" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3857" name="Constant_300491" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559138" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1601" name="Constant_7091" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="18" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3858" name="Constant_300494" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559170" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1602" name="Constant_7093" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3859" name="__module.model.gpt_neox.layers.17.attention/aten::slice/Slice_6" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1603" name="__module.model.gpt_neox.layers.10.attention/aten::slice/Slice_6" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -58805,17 +24605,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="2871,k.35">
+				<port id="5" precision="FP32" names="1527,k.21">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -58823,7 +24626,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3860" name="__module.model.gpt_neox.layers.17.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
+		<layer id="1604" name="__module.model.gpt_neox.layers.10.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -58840,7 +24643,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2909">
+				<port id="2" precision="FP32" names="1547">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -58848,165 +24651,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3861" name="Constant_300498" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559106" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3862" name="Constant_300497" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886962" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1605" name="Constant_7370" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559246" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3863" name="__module.model.gpt_neox.layers.17.attention/aten::size/ShapeOf_7" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3864" name="__module.model.gpt_neox.layers.17.attention/aten::size/Constant_7" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="258211866" size="4" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I32" />
-			</output>
-		</layer>
-		<layer id="3865" name="__module.model.gpt_neox.layers.17.attention/aten::size/Gather_7" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="1" precision="I64" />
-				<port id="2" precision="I32" />
-			</input>
-			<output>
-				<port id="3" precision="I64" names="2910,2915" />
-			</output>
-		</layer>
-		<layer id="3866" name="__module.model.gpt_neox.layers.17.attention/aten::floor_divide/Divide_3" type="Divide" version="opset1">
-			<data auto_broadcast="numpy" m_pythondiv="true" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
-			</input>
-			<output>
-				<port id="2" precision="I64" />
-			</output>
-		</layer>
-		<layer id="3867" name="__module.model.gpt_neox.layers.17.attention/aten::floor_divide/Floor_3" type="Floor" version="opset1">
-			<input>
-				<port id="0" precision="I64" />
-			</input>
-			<output>
-				<port id="1" precision="I64" names="2912,2913,2917,2918" />
-			</output>
-		</layer>
-		<layer id="3868" name="Constant_337758" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886946" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1606" name="Constant_7372" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559254" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3869" name="__module.model.gpt_neox.layers.17.attention/aten::slice/Unsqueeze_33" type="Reshape" version="opset1">
-			<data special_zero="false" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="I64">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3870" name="Constant_300496" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="258211866" size="4" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1607" name="Constant_7374" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
 			<output>
-				<port id="0" precision="I32">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3871" name="ScatterUpdate_300499" type="ScatterUpdate" version="opset3">
-			<input>
 				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="4" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3872" name="Constant_300502" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297886970" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="3873" name="Constant_300505" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559170" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
 			</output>
 		</layer>
-		<layer id="3874" name="__module.model.gpt_neox.layers.17.attention/aten::slice/Slice_7" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1608" name="__module.model.gpt_neox.layers.10.attention/aten::slice/Slice_7" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -59015,17 +24684,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="2919,x2.71">
+				<port id="5" precision="FP32" names="1557,x2.43">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -59033,8 +24705,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3875" name="Constant_325365_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 1, 1" offset="297887002" size="2" />
+		<layer id="1609" name="Constant_36987_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 1, 1" offset="297559262" size="2" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -59044,7 +24716,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3876" name="Constant_325365" type="Convert" version="opset1">
+		<layer id="1610" name="Constant_36987" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -59066,7 +24738,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3877" name="__module.model.gpt_neox.layers.17.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
+		<layer id="1611" name="__module.model.gpt_neox.layers.10.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -59083,7 +24755,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2920">
+				<port id="2" precision="FP32" names="1558">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -59091,30 +24763,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3878" name="Constant_300550" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559106" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1612" name="Constant_7267" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3879" name="Constant_300555" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559170" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1613" name="Constant_7311" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559246" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1614" name="Constant_7313" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3880" name="__module.model.gpt_neox.layers.17.attention/aten::slice/Slice_8" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1615" name="__module.model.gpt_neox.layers.10.attention/aten::slice/Slice_8" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -59123,17 +24796,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="2914">
+				<port id="5" precision="FP32" names="1552">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -59141,7 +24817,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3881" name="__module.model.gpt_neox.layers.17.attention/aten::cat/Concat_2" type="Concat" version="opset1">
+		<layer id="1616" name="__module.model.gpt_neox.layers.10.attention/aten::cat/Concat_2" type="Concat" version="opset1">
 			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
@@ -59158,7 +24834,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2922">
+				<port id="2" precision="FP32" names="1560">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -59166,7 +24842,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3882" name="__module.model.gpt_neox.layers.17.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
+		<layer id="1617" name="__module.model.gpt_neox.layers.10.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -59183,7 +24859,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2923">
+				<port id="2" precision="FP32" names="1561">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -59191,7 +24867,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3883" name="__module.model.gpt_neox.layers.17.attention/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="1618" name="__module.model.gpt_neox.layers.10.attention/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -59208,7 +24884,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2924,2928">
+				<port id="2" precision="FP32" names="1562,1566">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -59216,7 +24892,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3884" name="__module.model.gpt_neox.layers.17.attention/aten::to/Convert_1" type="Concat" version="opset1">
+		<layer id="1619" name="__module.model.gpt_neox.layers.10.attention/aten::cat/Concat_4" type="Concat" version="opset1">
 			<data axis="-2" />
 			<input>
 				<port id="0" precision="FP32">
@@ -59233,7 +24909,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="present.17.key">
+				<port id="2" precision="FP32" names="present.10.key">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -59241,13 +24917,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3885" name="Constant_433093_compressed" type="Const" version="opset1">
+		<layer id="1620" name="Constant_52354_compressed" type="Const" version="opset1">
 			<data element_type="f16" shape="" offset="0" size="2" />
 			<output>
 				<port id="0" precision="FP16" />
 			</output>
 		</layer>
-		<layer id="3886" name="Constant_433093" type="Convert" version="opset1">
+		<layer id="1621" name="Constant_52354" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -59259,7 +24935,7 @@
 				<port id="1" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="3887" name="Constant_433086" type="Const" version="opset1">
+		<layer id="1622" name="Constant_52347" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="10" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -59267,7 +24943,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3888" name="Constant_433088" type="Const" version="opset1">
+		<layer id="1623" name="Constant_52349" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -59275,7 +24951,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3889" name="Constant_433090" type="Const" version="opset1">
+		<layer id="1624" name="Constant_52351" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="18" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -59283,7 +24959,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3890" name="Concat_433091" type="Concat" version="opset1">
+		<layer id="1625" name="Concat_52352" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -59305,7 +24981,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3891" name="Broadcast_433094" type="Broadcast" version="opset3">
+		<layer id="1626" name="Broadcast_52355" type="Broadcast" version="opset3">
 			<data mode="numpy" />
 			<input>
 				<port id="0" precision="FP32" />
@@ -59322,18 +24998,348 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3892" name="ReadValue_417320" type="ReadValue" version="opset6">
-			<data variable_id="past_key_values.17.valuepresent.17.value" variable_type="f32" variable_shape="?,32,?,80" />
+		<layer id="1627" name="ReadValue_49744" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.10.valuepresent.10.value" variable_type="f32" variable_shape="?,32,?,80" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>0</dim>
+					<dim>80</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="past_key_values.10.value">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1628" name="Constant_47392" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="2" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="1629" name="Gather_47393" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>-1</dim>
+				</port>
+				<port id="2" precision="I64" />
+			</input>
+			<output>
+				<port id="3" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1630" name="Constant_7051" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559264" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1631" name="Constant_7053" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559254" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1632" name="Constant_7055" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1633" name="__module.model.gpt_neox.layers.10.attention/aten::slice/Slice_10" type="Slice" version="opset8">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>240</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="5" precision="FP32" names="1522">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1634" name="Constant_7064" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="297559122" size="32" />
+			<output>
+				<port id="0" precision="I64" names="1523">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1635" name="__module.model.gpt_neox.layers.10.attention/aten::permute/Transpose_2" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1524">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1636" name="__module.model.gpt_neox.layers.10.attention/aten::cat/Concat_5" type="Concat" version="opset1">
+			<data axis="-2" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="present.10.value">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1637" name="Constant_7446" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1638" name="ShapeOf_38929" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1639" name="Constant_38930" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559280" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1640" name="Constant_38931" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="2" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="1641" name="Gather_38932" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64" />
+			</input>
+			<output>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1642" name="ShapeOf_38933" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1643" name="Constant_38934" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559280" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1644" name="Constant_38935" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="2" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="1645" name="Gather_38936" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64" />
+			</input>
+			<output>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1646" name="Add_38937" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="I64" names="1571">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1647" name="Constant_7449" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1648" name="__module.model.gpt_neox.layers.10.attention/aten::slice/Slice_14" type="Slice" version="opset8">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="5" precision="FP32" names="1575">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1649" name="__module.model.gpt_neox.layers.10.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+			<data causal="false" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>0</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
+				<port id="3" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="past_key_values.17.value">
+				<port id="4" precision="FP32" names="1576,attn_output.81">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -59341,14 +25347,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3893" name="Constant_401995" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="2" size="8" />
+		<layer id="1650" name="__module.model.gpt_neox.layers.10.attention/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="297559312" size="16" />
 			<output>
-				<port id="0" precision="I64" />
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="3894" name="Gather_401996" type="Gather" version="opset8">
-			<data batch_dims="0" />
+		<layer id="1651" name="__module.model.gpt_neox.layers.10.attention/aten::transpose/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -59357,699 +25364,822 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I32">
-					<dim>-1</dim>
+					<dim>4</dim>
 				</port>
-				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="FP32">
+				<port id="2" precision="FP32" names="1577">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3895" name="Constant_300600" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297886914" size="32" />
+		<layer id="1652" name="Constant_40545" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="297559328" size="24" />
 			<rt_info>
 				<attribute name="precise" version="0" />
 			</rt_info>
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3896" name="Constant_300603" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297886970" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1653" name="__module.model.gpt_neox.layers.10.attention/aten::view/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="FP32" names="1580">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1654" name="self.model.gpt_neox.layers.10.attention.dense.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="2560, 2560" offset="1871088952" size="13107200" />
+			<output>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.10.attention.dense.weight">
+					<dim>2560</dim>
+					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3897" name="Constant_300606" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559170" size="32" />
+		<layer id="1655" name="self.model.gpt_neox.layers.10.attention.dense.weight" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="precise" version="0" />
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>2560</dim>
+					<dim>2560</dim>
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+			</input>
 			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>2560</dim>
+					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3898" name="__module.model.gpt_neox.layers.17.attention/aten::slice/Slice_10" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1656" name="__module.model.gpt_neox.layers.10.attention.dense/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
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-					<dim>4</dim>
-				</port>
-				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>2560</dim>
 				</port>
-				<port id="3" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>2560</dim>
+					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="2866">
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>80</dim>
+					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3899" name="Constant_10127" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559202" size="32" />
+		<layer id="1657" name="Constant_36988_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 2560" offset="1884196152" size="5120" />
 			<output>
-				<port id="0" precision="I64" names="2867">
-					<dim>4</dim>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>2560</dim>
+				</port>
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@@ -60060,53 +26190,73 @@
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 					<dim>1</dim>
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+		<layer id="1704" name="__module.model.gpt_neox.layers.11.attention/aten::permute/Transpose" type="Transpose" version="opset1">
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 		</layer>
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+		<layer id="1705" name="Constant_7699" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
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+				<port id="0" precision="I64">
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+		</layer>
+		<layer id="1706" name="Constant_7701" type="Const" version="opset1">
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+				<port id="0" precision="I64">
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+			</output>
+		</layer>
+		<layer id="1707" name="Constant_7703" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
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+				<port id="0" precision="I64">
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+			</output>
+		</layer>
+		<layer id="1708" name="__module.model.gpt_neox.layers.11.attention/aten::slice/Slice_1" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
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@@ -60114,27 +26264,46 @@
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 					<dim>80</dim>
 				</port>
-				<port id="1" precision="FP32">
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 					<dim>32</dim>
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 					<dim>80</dim>
 				</port>
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+		</layer>
+		<layer id="1709" name="__module.model.gpt_neox.layers.11.attention/aten::mul/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
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 			<output>
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+				<port id="2" precision="FP32" names="1643">
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@@ -60142,599 +26311,604 @@
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+		<layer id="1710" name="Constant_7857" type="Const" version="opset1">
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 		</layer>
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-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-			</input>
+		<layer id="1711" name="Constant_7859" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559254" size="8" />
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-					<dim>-1</dim>
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-					<dim>80</dim>
+				<port id="0" precision="I64">
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 		</layer>
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-				<attribute name="precise" version="0" />
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+		<layer id="1712" name="Constant_7861" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="I64">
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 		</layer>
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-			<data special_zero="true" />
+		<layer id="1713" name="__module.model.gpt_neox.layers.11.attention/aten::slice/Slice_2" type="Slice" version="opset8">
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+		<layer id="1714" name="Constant_36994_compressed" type="Const" version="opset1">
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 			</output>
 		</layer>
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 				<port id="0" precision="FP32">
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-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
+		<layer id="1757" name="__module.model.gpt_neox.layers.11.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
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 		</layer>
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+		<layer id="1758" name="__module.model.gpt_neox.layers.11.attention/aten::add/Add_1" type="Add" version="opset1">
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 		</layer>
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-			<data special_zero="true" />
+		<layer id="1759" name="__module.model.gpt_neox.layers.11.attention/aten::cat/Concat_4" type="Concat" version="opset1">
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 			</input>
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+				<port id="2" precision="FP32" names="present.11.key">
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+					<dim>-1</dim>
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 		</layer>
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-			<data element_type="i64" shape="4" offset="297559106" size="32" />
+		<layer id="1760" name="Constant_52378_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="" offset="0" size="2" />
+			<output>
+				<port id="0" precision="FP16" />
+			</output>
+		</layer>
+		<layer id="1761" name="Constant_52378" type="Convert" version="opset1">
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 			<rt_info>
-				<attribute name="precise" version="0" />
+				<attribute name="decompression" version="0" />
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+			<input>
+				<port id="0" precision="FP16" />
+			</input>
+			<output>
+				<port id="1" precision="FP32" />
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+		<layer id="1762" name="Constant_52371" type="Const" version="opset1">
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 		</layer>
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 				<port id="0" precision="I64">
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+		<layer id="1764" name="Constant_52375" type="Const" version="opset1">
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 				<port id="0" precision="I64">
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 		</layer>
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+		<layer id="1765" name="Concat_52376" type="Concat" version="opset1">
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+					<dim>1</dim>
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 				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="4" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1766" name="Broadcast_52379" type="Broadcast" version="opset3">
+			<data mode="numpy" />
+			<input>
+				<port id="0" precision="FP32" />
+				<port id="1" precision="I64">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="3009">
-					<dim>-1</dim>
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
+					<dim>0</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4001" name="Constant_10680" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559202" size="32" />
+		<layer id="1767" name="ReadValue_49748" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.11.valuepresent.11.value" variable_type="f32" variable_shape="?,32,?,80" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>0</dim>
+					<dim>80</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="I64" names="3010">
-					<dim>4</dim>
+				<port id="1" precision="FP32" names="past_key_values.11.value">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4002" name="__module.model.gpt_neox.layers.18.attention/aten::permute/Transpose" type="Transpose" version="opset1">
+		<layer id="1768" name="Constant_47398" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="2" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="1769" name="Gather_47399" type="Gather" version="opset8">
+			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="I32">
+					<dim>-1</dim>
 				</port>
+				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3011,query.109">
+				<port id="3" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -61050,60 +27238,82 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4003" name="Constant_300713" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1770" name="Constant_7681" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559264" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1771" name="Constant_7683" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559254" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1772" name="Constant_7685" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1773" name="__module.model.gpt_neox.layers.11.attention/aten::slice/Slice_10" type="Slice" version="opset8">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>240</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
 				</port>
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-		</layer>
-		<layer id="4004" name="Constant_300716" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="5" precision="FP32" names="1634">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4005" name="Constant_300719" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1774" name="Constant_7694" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="297559122" size="32" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I64" names="1635">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4006" name="__module.model.gpt_neox.layers.18.attention/aten::slice/Slice_1" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1775" name="__module.model.gpt_neox.layers.11.attention/aten::permute/Transpose_2" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>4</dim>
 				</port>
-				<port id="2" precision="I64">
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-				</port>
-				<port id="3" precision="I64">
-					<dim>4</dim>
-				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="3018,q.37">
+				<port id="2" precision="FP32" names="1636">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -61111,112 +27321,93 @@
 				</port>
 			</output>
 		</layer>
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-				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.18.attention.rotary_emb.cos_cached">
-					<dim>2048</dim>
+		<layer id="1776" name="__module.model.gpt_neox.layers.11.attention/aten::cat/Concat_5" type="Concat" version="opset1">
+			<data axis="-2" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="4008" name="self.model.gpt_neox.layers.18.attention.rotary_emb.cos_cached" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
-			<input>
-				<port id="0" precision="FP16">
-					<dim>2048</dim>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
-					<dim>2048</dim>
+				<port id="2" precision="FP32" names="present.11.value">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4009" name="__module.model.gpt_neox.layers.18.attention.rotary_emb/aten::slice/Unsqueeze" type="Const" version="opset1">
+		<layer id="1777" name="Constant_8076" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="2" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
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 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4010" name="Constant_300725" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1778" name="ShapeOf_39002" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="I64">
+				<port id="1" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4011" name="Constant_300728" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1779" name="Constant_39003" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559280" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4012" name="Constant_300731" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559170" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1780" name="Constant_39004" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="2" size="8" />
 			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
+				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="4013" name="__module.model.gpt_neox.layers.18.attention/aten::slice/Slice_2" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1781" name="Gather_39005" type="Gather" version="opset8">
+			<data batch_dims="0" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>240</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="2" precision="I64">
+				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
-				<port id="3" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="I64">
+					<dim>1</dim>
 				</port>
+				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="3012">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>80</dim>
+				<port id="3" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4014" name="ShapeOf_339547" type="ShapeOf" version="opset3">
+		<layer id="1782" name="ShapeOf_39006" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</input>
@@ -61226,27 +27417,21 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4015" name="Constant_341024" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886946" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1783" name="Constant_39007" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559280" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4016" name="Constant_339549" type="Const" version="opset1">
+		<layer id="1784" name="Constant_39008" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="2" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="4017" name="Gather_339550" type="Gather" version="opset8">
+		<layer id="1785" name="Gather_39009" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -61258,58 +27443,42 @@
 				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="3022">
+				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4018" name="Constant_433106_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="" offset="0" size="2" />
-			<output>
-				<port id="0" precision="FP16" />
-			</output>
-		</layer>
-		<layer id="4019" name="Constant_433106" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
+		<layer id="1786" name="Add_39010" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="FP16" />
-			</input>
-			<output>
-				<port id="1" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="4020" name="Constant_433099" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="10" size="8" />
-			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="4021" name="Constant_433101" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="2" size="8" />
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="I64">
+				<port id="2" precision="I64" names="1683">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4022" name="Constant_433103" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="18" size="8" />
+		<layer id="1787" name="Constant_8079" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4023" name="Concat_433104" type="Concat" version="opset1">
-			<data axis="0" />
+		<layer id="1788" name="__module.model.gpt_neox.layers.11.attention/aten::slice/Slice_14" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64">
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
 					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -61320,42 +27489,49 @@
 				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64">
-					<dim>4</dim>
+				<port id="5" precision="FP32" names="1687">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4024" name="Broadcast_433107" type="Broadcast" version="opset3">
-			<data mode="numpy" />
+		<layer id="1789" name="__module.model.gpt_neox.layers.11.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+			<data causal="false" />
 			<input>
-				<port id="0" precision="FP32" />
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32">
+				<port id="1" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>0</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="4025" name="ReadValue_417322" type="ReadValue" version="opset6">
-			<data variable_id="past_key_values.18.keypresent.18.key" variable_type="f32" variable_shape="?,32,?,80" />
-			<input>
-				<port id="0" precision="FP32">
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>0</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
+				<port id="3" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="past_key_values.18.key">
+				<port id="4" precision="FP32" names="1688,attn_output.89">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -61363,14 +27539,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4026" name="Constant_401998" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="2" size="8" />
+		<layer id="1790" name="__module.model.gpt_neox.layers.11.attention/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="297559312" size="16" />
 			<output>
-				<port id="0" precision="I64" />
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="4027" name="Gather_401999" type="Gather" version="opset8">
-			<data batch_dims="0" />
+		<layer id="1791" name="__module.model.gpt_neox.layers.11.attention/aten::transpose/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -61379,409 +27556,618 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I32">
-					<dim>-1</dim>
+					<dim>4</dim>
 				</port>
-				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="FP32">
+				<port id="2" precision="FP32" names="1689">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4028" name="ShapeOf_339552" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="1792" name="Constant_40546" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="297559328" size="24" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1793" name="__module.model.gpt_neox.layers.11.attention/aten::view/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>80</dim>
 				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="FP32" names="1692">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4029" name="Constant_339553" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="297886954" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1794" name="self.model.gpt_neox.layers.11.attention.dense.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="2560, 2560" offset="2028441912" size="13107200" />
 			<output>
-				<port id="0" precision="I64" />
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.11.attention.dense.weight">
+					<dim>2560</dim>
+					<dim>2560</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="4030" name="Constant_339554" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="2" size="8" />
+		<layer id="1795" name="self.model.gpt_neox.layers.11.attention.dense.weight" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="precise" version="0" />
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>2560</dim>
+					<dim>2560</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="I64" />
+				<port id="1" precision="FP32">
+					<dim>2560</dim>
+					<dim>2560</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="4031" name="Gather_339555" type="Gather" version="opset8">
-			<data batch_dims="0" />
+		<layer id="1796" name="__module.model.gpt_neox.layers.11.attention.dense/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>2560</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>2560</dim>
+					<dim>2560</dim>
 				</port>
-				<port id="1" precision="I64" />
-				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="3024" />
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1797" name="Constant_36996_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 2560" offset="2041549112" size="5120" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>2560</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="4032" name="Constant_337764" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886946" size="8" />
+		<layer id="1798" name="Constant_36996" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="precise" version="0" />
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>2560</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="I64">
+				<port id="1" precision="FP32">
 					<dim>1</dim>
+					<dim>1</dim>
+					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4033" name="Reshape_340941" type="Reshape" version="opset1">
-			<data special_zero="false" />
+		<layer id="1799" name="__module.model.gpt_neox.layers.11.attention.dense/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>2560</dim>
+				</port>
+				<port id="1" precision="FP32">
 					<dim>1</dim>
+					<dim>1</dim>
+					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64">
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="1695,1697,input.45">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4034" name="__module.model.gpt_neox.layers.18.attention/aten::add_/Add" type="Add" version="opset1">
+		<layer id="1800" name="__module.model.gpt_neox.layers.11/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="I64">
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>2560</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>2560</dim>
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+			</input>
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+		<layer id="1826" name="Constant_36999" type="Convert" version="opset1">
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+		<layer id="1827" name="__module.model.gpt_neox.layers.12.input_layernorm/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
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+		<layer id="1828" name="Constant_37000_compressed" type="Const" version="opset1">
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 		</layer>
-		<layer id="4056" name="Constant_325374" type="Convert" version="opset1">
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 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -61790,296 +28176,234 @@
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 			</output>
 		</layer>
-		<layer id="4057" name="__module.model.gpt_neox.layers.18.attention/aten::neg/Multiply" type="Multiply" version="opset1">
+		<layer id="1830" name="__module.model.gpt_neox.layers.12.input_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
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+		<layer id="1831" name="self.model.gpt_neox.layers.12.attention.query_key_value.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="7680, 2560" offset="2146457912" size="39321600" />
 			<output>
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+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.12.attention.query_key_value.weight">
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 		</layer>
-		<layer id="4059" name="Constant_300793" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559170" size="32" />
+		<layer id="1832" name="self.model.gpt_neox.layers.12.attention.query_key_value.weight" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
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 		</layer>
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-			<data axis="-1" />
+		<layer id="1833" name="__module.model.gpt_neox.layers.12.attention.query_key_value/ov_ext::linear/MatMul" type="MatMul" version="opset1">
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 			<output>
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+		<layer id="1834" name="Constant_37001_compressed" type="Const" version="opset1">
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 		</layer>
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+		<layer id="1835" name="Constant_37001" type="Convert" version="opset1">
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+		<layer id="1836" name="__module.model.gpt_neox.layers.12.attention.query_key_value/ov_ext::linear/Add" type="Add" version="opset1">
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+		<layer id="1837" name="__module.model.gpt_neox.layers.12.attention/prim::ListConstruct" type="Const" version="opset1">
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+		<layer id="1838" name="__module.model.gpt_neox.layers.12.attention/aten::view/Reshape" type="Reshape" version="opset1">
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+		<layer id="1839" name="Constant_8275" type="Const" version="opset1">
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+		<layer id="1841" name="Constant_8279" type="Const" version="opset1">
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+				<port id="0" precision="I64">
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+				<port id="3" precision="I64">
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 			</input>
 			<output>
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+				<port id="5" precision="FP32" names="1740">
 					<dim>-1</dim>
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 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>80</dim>
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 		</layer>
-		<layer id="4072" name="Constant_10694" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559202" size="32" />
+		<layer id="1843" name="Constant_8288" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="297559122" size="32" />
 			<output>
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+				<port id="0" precision="I64" names="1741">
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 				</port>
 			</output>
 		</layer>
-		<layer id="4073" name="__module.model.gpt_neox.layers.18.attention/aten::permute/Transpose_1" type="Transpose" version="opset1">
+		<layer id="1844" name="__module.model.gpt_neox.layers.12.attention/aten::permute/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
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@@ -62092,7 +28416,7 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3014,key.109">
+				<port id="2" precision="FP32" names="1742,query.25">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -62100,41 +28424,31 @@
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 		</layer>
-		<layer id="4074" name="Constant_300839" type="Const" version="opset1">
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-				<attribute name="precise" version="0" />
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+		<layer id="1845" name="Constant_8329" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
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-				<attribute name="precise" version="0" />
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+		<layer id="1846" name="Constant_8331" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4076" name="Constant_300845" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559170" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1847" name="Constant_8333" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4077" name="__module.model.gpt_neox.layers.18.attention/aten::slice/Slice_6" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1848" name="__module.model.gpt_neox.layers.12.attention/aten::slice/Slice_1" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -62143,17 +28457,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="3020,k.37">
+				<port id="5" precision="FP32" names="1749,q.25">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -62161,7 +28478,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4078" name="__module.model.gpt_neox.layers.18.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
+		<layer id="1849" name="__module.model.gpt_neox.layers.12.attention/aten::mul/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -62178,7 +28495,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3058">
+				<port id="2" precision="FP32" names="1755">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -62186,165 +28503,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4079" name="Constant_300849" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559106" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="4080" name="Constant_300848" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886962" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1850" name="Constant_8487" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559246" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4081" name="__module.model.gpt_neox.layers.18.attention/aten::size/ShapeOf_7" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="4082" name="__module.model.gpt_neox.layers.18.attention/aten::size/Constant_7" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="258211866" size="4" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I32" />
-			</output>
-		</layer>
-		<layer id="4083" name="__module.model.gpt_neox.layers.18.attention/aten::size/Gather_7" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="1" precision="I64" />
-				<port id="2" precision="I32" />
-			</input>
-			<output>
-				<port id="3" precision="I64" names="3059,3064" />
-			</output>
-		</layer>
-		<layer id="4084" name="__module.model.gpt_neox.layers.18.attention/aten::floor_divide/Divide_3" type="Divide" version="opset1">
-			<data auto_broadcast="numpy" m_pythondiv="true" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
-			</input>
-			<output>
-				<port id="2" precision="I64" />
-			</output>
-		</layer>
-		<layer id="4085" name="__module.model.gpt_neox.layers.18.attention/aten::floor_divide/Floor_3" type="Floor" version="opset1">
-			<input>
-				<port id="0" precision="I64" />
-			</input>
-			<output>
-				<port id="1" precision="I64" names="3061,3062,3066,3067" />
-			</output>
-		</layer>
-		<layer id="4086" name="Constant_337768" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886946" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1851" name="Constant_8489" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559254" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4087" name="__module.model.gpt_neox.layers.18.attention/aten::slice/Unsqueeze_33" type="Reshape" version="opset1">
-			<data special_zero="false" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="I64">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="4088" name="Constant_300847" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="258211866" size="4" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1852" name="Constant_8491" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
 			<output>
-				<port id="0" precision="I32">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="4089" name="ScatterUpdate_300850" type="ScatterUpdate" version="opset3">
-			<input>
 				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="I32">
 					<dim>1</dim>
 				</port>
-			</input>
-			<output>
-				<port id="4" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="4090" name="Constant_300853" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297886970" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
 			</output>
 		</layer>
-		<layer id="4091" name="Constant_300856" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559170" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="4092" name="__module.model.gpt_neox.layers.18.attention/aten::slice/Slice_7" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1853" name="__module.model.gpt_neox.layers.12.attention/aten::slice/Slice_2" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -62353,17 +28536,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
 				</port>
-				<port id="3" precision="I64">
-					<dim>4</dim>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="3068,x2.75">
+				<port id="5" precision="FP32" names="1765,x2.49">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -62371,8 +28557,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4093" name="Constant_325375_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 1, 1" offset="297887002" size="2" />
+		<layer id="1854" name="Constant_37002_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 1, 1" offset="297559262" size="2" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -62382,7 +28568,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4094" name="Constant_325375" type="Convert" version="opset1">
+		<layer id="1855" name="Constant_37002" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -62404,7 +28590,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4095" name="__module.model.gpt_neox.layers.18.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
+		<layer id="1856" name="__module.model.gpt_neox.layers.12.attention/aten::neg/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -62421,7 +28607,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3069">
+				<port id="2" precision="FP32" names="1766">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -62429,30 +28615,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4096" name="Constant_300901" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559106" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1857" name="Constant_8384" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4097" name="Constant_300906" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559170" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1858" name="Constant_8428" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559246" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1859" name="Constant_8430" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4098" name="__module.model.gpt_neox.layers.18.attention/aten::slice/Slice_8" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1860" name="__module.model.gpt_neox.layers.12.attention/aten::slice/Slice_3" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -62461,17 +28648,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="3063">
+				<port id="5" precision="FP32" names="1760">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -62479,7 +28669,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4099" name="__module.model.gpt_neox.layers.18.attention/aten::cat/Concat_2" type="Concat" version="opset1">
+		<layer id="1861" name="__module.model.gpt_neox.layers.12.attention/aten::cat/Concat" type="Concat" version="opset1">
 			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
@@ -62496,7 +28686,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3071">
+				<port id="2" precision="FP32" names="1768">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -62504,7 +28694,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4100" name="__module.model.gpt_neox.layers.18.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
+		<layer id="1862" name="__module.model.gpt_neox.layers.12.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -62521,7 +28711,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3072">
+				<port id="2" precision="FP32" names="1769">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -62529,7 +28719,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4101" name="__module.model.gpt_neox.layers.18.attention/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="1863" name="__module.model.gpt_neox.layers.12.attention/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -62546,32 +28736,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3073,3077">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="4102" name="__module.model.gpt_neox.layers.18.attention/aten::to/Convert_1" type="Concat" version="opset1">
-			<data axis="-2" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="present.18.key">
+				<port id="2" precision="FP32" names="1770,1788">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -62579,13 +28744,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4103" name="Constant_433119_compressed" type="Const" version="opset1">
+		<layer id="1864" name="Constant_52390_compressed" type="Const" version="opset1">
 			<data element_type="f16" shape="" offset="0" size="2" />
 			<output>
 				<port id="0" precision="FP16" />
 			</output>
 		</layer>
-		<layer id="4104" name="Constant_433119" type="Convert" version="opset1">
+		<layer id="1865" name="Constant_52390" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -62597,7 +28762,7 @@
 				<port id="1" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="4105" name="Constant_433112" type="Const" version="opset1">
+		<layer id="1866" name="Constant_52383" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="10" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -62605,7 +28770,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4106" name="Constant_433114" type="Const" version="opset1">
+		<layer id="1867" name="Constant_52385" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -62613,7 +28778,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4107" name="Constant_433116" type="Const" version="opset1">
+		<layer id="1868" name="Constant_52387" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="18" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -62621,7 +28786,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4108" name="Concat_433117" type="Concat" version="opset1">
+		<layer id="1869" name="Concat_52388" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -62643,7 +28808,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4109" name="Broadcast_433120" type="Broadcast" version="opset3">
+		<layer id="1870" name="Broadcast_52391" type="Broadcast" version="opset3">
 			<data mode="numpy" />
 			<input>
 				<port id="0" precision="FP32" />
@@ -62660,8 +28825,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4110" name="ReadValue_417324" type="ReadValue" version="opset6">
-			<data variable_id="past_key_values.18.valuepresent.18.value" variable_type="f32" variable_shape="?,32,?,80" />
+		<layer id="1871" name="ReadValue_49750" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.12.keypresent.12.key" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -62671,7 +28836,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="past_key_values.18.value">
+				<port id="1" precision="FP32" names="past_key_values.12.key">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -62679,13 +28844,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4111" name="Constant_402001" type="Const" version="opset1">
+		<layer id="1872" name="Constant_47401" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="4112" name="Gather_402002" type="Gather" version="opset8">
+		<layer id="1873" name="Gather_47402" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
@@ -62708,41 +28873,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4113" name="Constant_300951" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297886914" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1874" name="Constant_8293" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="18" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4114" name="Constant_300954" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297886970" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1875" name="Constant_8295" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559264" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4115" name="Constant_300957" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559170" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1876" name="Constant_8297" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4116" name="__module.model.gpt_neox.layers.18.attention/aten::slice/Slice_10" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1877" name="__module.model.gpt_neox.layers.12.attention/aten::slice/Slice_5" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -62751,17 +28906,20 @@
 					<dim>240</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
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+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="3015">
+				<port id="5" precision="FP32" names="1743">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
@@ -62769,15 +28927,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4117" name="Constant_10708" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559202" size="32" />
+		<layer id="1878" name="Constant_8306" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="297559122" size="32" />
 			<output>
-				<port id="0" precision="I64" names="3016">
+				<port id="0" precision="I64" names="1744">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4118" name="__module.model.gpt_neox.layers.18.attention/aten::permute/Transpose_2" type="Transpose" version="opset1">
+		<layer id="1879" name="__module.model.gpt_neox.layers.12.attention/aten::permute/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -62790,32 +28948,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3017">
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-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="4119" name="__module.model.gpt_neox.layers.18.attention/aten::cat/Concat_5" type="Concat" version="opset1">
-			<data axis="-2" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
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-				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="present.18.value">
+				<port id="2" precision="FP32" names="1745,key.49">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -62823,41 +28956,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4120" name="__module.model.gpt_neox.layers.18.attention/aten::slice/Slice_11" type="Const" version="opset1">
-			<data element_type="boolean" shape="1, 1, 2048, 2048" offset="298214684" size="4194304" />
+		<layer id="1880" name="Constant_8349" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
-				<port id="0" precision="BOOL" names="3094">
-					<dim>1</dim>
+				<port id="0" precision="I64">
 					<dim>1</dim>
-					<dim>2048</dim>
-					<dim>2048</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4121" name="Constant_300961" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="302408988" size="24" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1881" name="Constant_8351" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="18" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>3</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4122" name="Constant_300960" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886954" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1882" name="Constant_8353" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4123" name="ShapeOf_339557" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="1883" name="__module.model.gpt_neox.layers.12.attention/aten::slice/Slice_6" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -62865,56 +28988,30 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-			</input>
-			<output>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="4124" name="Constant_339558" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="297886954" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I64" />
-			</output>
-		</layer>
-		<layer id="4125" name="Constant_339559" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="2" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I64" />
-			</output>
-		</layer>
-		<layer id="4126" name="Gather_339560" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
-				<port id="1" precision="I64" />
-				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" />
+				<port id="5" precision="FP32" names="1751,k.25">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="4127" name="Add_339561" type="Add" version="opset1">
+		<layer id="1884" name="__module.model.gpt_neox.layers.12.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
-			</input>
-			<output>
-				<port id="2" precision="I64" names="3089" />
-			</output>
-		</layer>
-		<layer id="4128" name="ShapeOf_339628" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -62922,94 +29019,53 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-			</input>
-			<output>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="4129" name="Constant_339629" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="297886954" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I64" />
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-		</layer>
-		<layer id="4130" name="Constant_339630" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="2" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I64" />
-			</output>
-		</layer>
-		<layer id="4131" name="Gather_339631" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64" />
-				<port id="2" precision="I64" />
-			</input>
-			<output>
-				<port id="3" precision="I64" names="3087" />
-			</output>
-		</layer>
-		<layer id="4132" name="__module.model.gpt_neox.layers.18.attention/aten::sub/Subtract" type="Subtract" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="I64" names="3091,3092" />
+				<port id="2" precision="FP32" names="1771">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="4133" name="Constant_337770" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886946" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1885" name="Constant_8630" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559246" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4134" name="__module.model.gpt_neox.layers.18.attention/aten::slice/Unsqueeze_44" type="Reshape" version="opset1">
-			<data special_zero="false" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-			</input>
+		<layer id="1886" name="Constant_8632" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559254" size="8" />
 			<output>
-				<port id="2" precision="I64">
+				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4135" name="Constant_300959" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="258211866" size="4" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1887" name="Constant_8634" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
 			<output>
-				<port id="0" precision="I32">
+				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4136" name="ScatterUpdate_300962" type="ScatterUpdate" version="opset3">
+		<layer id="1888" name="__module.model.gpt_neox.layers.12.attention/aten::slice/Slice_7" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64">
-					<dim>3</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -63017,160 +29073,111 @@
 				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
+				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
-			</input>
-			<output>
 				<port id="4" precision="I64">
-					<dim>3</dim>
+					<dim>1</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="4137" name="Constant_300963" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="302408988" size="24" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+			</input>
 			<output>
-				<port id="0" precision="I64">
-					<dim>3</dim>
+				<port id="5" precision="FP32" names="1781,x2.51">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4138" name="Constant_337772" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886946" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1889" name="Constant_37003_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 1, 1" offset="297559262" size="2" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="FP16">
+					<dim>1</dim>
 					<dim>1</dim>
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-			</output>
-		</layer>
-		<layer id="4139" name="__module.model.gpt_neox.layers.18.attention/aten::slice/Unsqueeze_45" type="Reshape" version="opset1">
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-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
 					<dim>1</dim>
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-				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4140" name="ScatterUpdate_300964" type="ScatterUpdate" version="opset3">
+		<layer id="1890" name="Constant_37003" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
-				<port id="0" precision="I64">
-					<dim>3</dim>
-				</port>
-				<port id="1" precision="I64">
+				<port id="0" precision="FP16">
+					<dim>1</dim>
 					<dim>1</dim>
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-				<port id="2" precision="I64">
 					<dim>1</dim>
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-				<port id="3" precision="I32">
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
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-		<layer id="4141" name="Constant_300967" type="Const" version="opset1">
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-				<attribute name="precise" version="0" />
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-			<output>
-				<port id="0" precision="I64">
-					<dim>3</dim>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-			<data begin_mask="1, 1, 0" end_mask="1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1891" name="__module.model.gpt_neox.layers.12.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="BOOL">
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
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+				<port id="1" precision="FP32">
 					<dim>1</dim>
 					<dim>1</dim>
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-					<dim>2048</dim>
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-				<port id="2" precision="I64">
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-				<port id="3" precision="I64">
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+		<layer id="1893" name="Constant_8571" type="Const" version="opset1">
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+		<layer id="1894" name="Constant_8573" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
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 				</port>
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 		</layer>
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@@ -63178,212 +29185,165 @@
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 					<dim>1</dim>
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-				<port id="3" precision="I32">
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-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1896" name="__module.model.gpt_neox.layers.12.attention/aten::cat/Concat_2" type="Concat" version="opset1">
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 		</layer>
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+					<dim>32</dim>
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+		<layer id="1901" name="Constant_52402" type="Convert" version="opset1">
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+		<layer id="1902" name="Constant_52395" type="Const" version="opset1">
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+		<layer id="1903" name="Constant_52397" type="Const" version="opset1">
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-				<attribute name="precise" version="0" />
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+		<layer id="1904" name="Constant_52399" type="Const" version="opset1">
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 		</layer>
-		<layer id="4162" name="__module.model.gpt_neox.layers.18.attention/prim::ListConstruct/Concat_1" type="Concat" version="opset1">
+		<layer id="1905" name="Concat_52400" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
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@@ -63400,42 +29360,333 @@
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64" names="3099">
+				<port id="4" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4163" name="Maximum_316286" type="Maximum" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="1906" name="Broadcast_52403" type="Broadcast" version="opset3">
+			<data mode="numpy" />
+			<input>
+				<port id="0" precision="FP32" />
+				<port id="1" precision="I64">
+					<dim>4</dim>
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+			</input>
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+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>0</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1907" name="ReadValue_49752" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.12.valuepresent.12.value" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
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+					<dim>-1</dim>
+					<dim>32</dim>
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+					<dim>80</dim>
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+				<port id="1" precision="FP32" names="past_key_values.12.value">
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+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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+		<layer id="1908" name="Constant_47404" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="2" size="8" />
+			<output>
+				<port id="0" precision="I64" />
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+		<layer id="1909" name="Gather_47405" type="Gather" version="opset8">
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+				<port id="0" precision="FP32">
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+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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+		<layer id="1910" name="Constant_8311" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559264" size="8" />
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+				<port id="0" precision="I64">
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+		<layer id="1911" name="Constant_8313" type="Const" version="opset1">
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+				<port id="0" precision="I64">
+					<dim>1</dim>
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+		<layer id="1912" name="Constant_8315" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
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 				<port id="0" precision="I64">
+					<dim>1</dim>
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+		</layer>
+		<layer id="1913" name="__module.model.gpt_neox.layers.12.attention/aten::slice/Slice_10" type="Slice" version="opset8">
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+					<dim>240</dim>
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+				<port id="3" precision="I64">
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+				<port id="4" precision="I64">
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+					<dim>32</dim>
+					<dim>80</dim>
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+				<port id="0" precision="I64" names="1747">
 					<dim>4</dim>
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+		<layer id="1915" name="__module.model.gpt_neox.layers.12.attention/aten::permute/Transpose_2" type="Transpose" version="opset1">
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 				<port id="1" precision="I64">
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 			<output>
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 		</layer>
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+		<layer id="1918" name="ShapeOf_39075" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
+			</input>
+			<output>
 				<port id="1" precision="I64">
 					<dim>4</dim>
 				</port>
+			</output>
+		</layer>
+		<layer id="1919" name="Constant_39076" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559280" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1920" name="Constant_39077" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="2" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="1921" name="Gather_39078" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3101">
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1922" name="ShapeOf_39079" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1923" name="Constant_39080" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559280" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1924" name="Constant_39081" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="2" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="1925" name="Gather_39082" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64" />
+			</input>
+			<output>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1926" name="Add_39083" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="I64" names="1795">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1927" name="Constant_8709" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1928" name="__module.model.gpt_neox.layers.12.attention/aten::slice/Slice_14" type="Slice" version="opset8">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="5" precision="FP32" names="1799">
 					<dim>-1</dim>
 					<dim>1</dim>
 					<dim>-1</dim>
@@ -63443,7 +29694,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4165" name="__module.model.gpt_neox.layers.18.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+		<layer id="1929" name="__module.model.gpt_neox.layers.12.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
 			<data causal="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -63472,7 +29723,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="3102,3103,sdpa_result.37,tensor.73">
+				<port id="4" precision="FP32" names="1800,attn_output.97">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -63480,15 +29731,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4166" name="Constant_11149" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559202" size="32" />
+		<layer id="1930" name="__module.model.gpt_neox.layers.12.attention/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="297559312" size="16" />
 			<output>
-				<port id="0" precision="I64" names="3104">
+				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4167" name="__module.model.gpt_neox.layers.18.attention/aten::permute/Transpose_3" type="Transpose" version="opset1">
+		<layer id="1931" name="__module.model.gpt_neox.layers.12.attention/aten::transpose/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -63496,12 +29747,12 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3105">
+				<port id="2" precision="FP32" names="1801">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
@@ -63509,8 +29760,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4168" name="__module.model.gpt_neox.layers.18.attention/prim::ListConstruct/Concat_2" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="302409066" size="24" />
+		<layer id="1932" name="Constant_40547" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="297559328" size="24" />
 			<rt_info>
 				<attribute name="precise" version="0" />
 			</rt_info>
@@ -63520,7 +29771,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4169" name="__module.model.gpt_neox.layers.18.attention/aten::view/Reshape_1" type="Reshape" version="opset1">
+		<layer id="1933" name="__module.model.gpt_neox.layers.12.attention/aten::view/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -63534,23 +29785,23 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3110">
+				<port id="2" precision="FP32" names="1804">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4170" name="self.model.gpt_neox.layers.18.attention.dense.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="2560, 2560" offset="3134762370" size="13107200" />
+		<layer id="1934" name="self.model.gpt_neox.layers.12.attention.dense.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="2560, 2560" offset="2185794872" size="13107200" />
 			<output>
-				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.18.attention.dense.weight">
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.12.attention.dense.weight">
 					<dim>2560</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4171" name="self.model.gpt_neox.layers.18.attention.dense.weight" type="Convert" version="opset1">
+		<layer id="1935" name="self.model.gpt_neox.layers.12.attention.dense.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -63568,7 +29819,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4172" name="__module.model.gpt_neox.layers.18.attention.dense/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="1936" name="__module.model.gpt_neox.layers.12.attention.dense/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -63589,8 +29840,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4173" name="Constant_325376_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 2560" offset="3147869570" size="5120" />
+		<layer id="1937" name="Constant_37004_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 2560" offset="2198902072" size="5120" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -63599,7 +29850,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4174" name="Constant_325376" type="Convert" version="opset1">
+		<layer id="1938" name="Constant_37004" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -63619,7 +29870,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4175" name="__module.model.gpt_neox.layers.18.attention.dense/aten::linear/Add" type="Add" version="opset1">
+		<layer id="1939" name="__module.model.gpt_neox.layers.12.attention.dense/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -63634,14 +29885,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3113,3115,input.75">
+				<port id="2" precision="FP32" names="1807,1809,input.49">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4176" name="__module.model.gpt_neox.layers.18/aten::add/Add" type="Add" version="opset1">
+		<layer id="1940" name="__module.model.gpt_neox.layers.12/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -63656,14 +29907,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3119,attn_output.75">
+				<port id="2" precision="FP32" names="1813,attn_output.103">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4177" name="__module.model.gpt_neox.layers.18.post_attention_layernorm/aten::layer_norm/Constant" type="Const" version="opset1">
+		<layer id="1941" name="__module.model.gpt_neox.layers.12.post_attention_layernorm/aten::layer_norm/Multiply" type="Const" version="opset1">
 			<data element_type="i32" shape="1" offset="258211870" size="4" />
 			<output>
 				<port id="0" precision="I32">
@@ -63671,7 +29922,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4178" name="__module.model.gpt_neox.layers.18.post_attention_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
+		<layer id="1942" name="__module.model.gpt_neox.layers.12.post_attention_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -63691,8 +29942,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4179" name="Constant_325377_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 2560" offset="3147874690" size="5120" />
+		<layer id="1943" name="Constant_37005_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 2560" offset="2198907192" size="5120" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -63701,7 +29952,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4180" name="Constant_325377" type="Convert" version="opset1">
+		<layer id="1944" name="Constant_37005" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -63721,7 +29972,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4181" name="__module.model.gpt_neox.layers.18.post_attention_layernorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
+		<layer id="1945" name="__module.model.gpt_neox.layers.12.post_attention_layernorm/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -63743,8 +29994,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4182" name="Constant_325378_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 2560" offset="3147879810" size="5120" />
+		<layer id="1946" name="Constant_37006_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 2560" offset="2198912312" size="5120" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -63753,7 +30004,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4183" name="Constant_325378" type="Convert" version="opset1">
+		<layer id="1947" name="Constant_37006" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -63773,7 +30024,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4184" name="__module.model.gpt_neox.layers.18.post_attention_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="1948" name="__module.model.gpt_neox.layers.12.post_attention_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -63788,23 +30039,23 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3123">
+				<port id="2" precision="FP32" names="1817">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4185" name="self.model.gpt_neox.layers.18.mlp.dense_h_to_4h.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="10240, 2560" offset="3147884930" size="52428800" />
+		<layer id="1949" name="self.model.gpt_neox.layers.12.mlp.dense_h_to_4h.weight" type="Const" version="opset1">
+			<data element_type="f16" shape="10240, 2560" offset="2198917432" size="52428800" />
 			<output>
-				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.18.mlp.dense_h_to_4h.weight">
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.12.mlp.dense_h_to_4h.weight">
 					<dim>10240</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4186" name="self.model.gpt_neox.layers.18.mlp.dense_h_to_4h.weight" type="Convert" version="opset1">
+		<layer id="1950" name="__module.model.gpt_neox.layers.12.mlp.dense_h_to_4h/ov_ext::linear/ConvertLike" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -63822,7 +30073,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4187" name="__module.model.gpt_neox.layers.18.mlp.dense_h_to_4h/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="1951" name="__module.model.gpt_neox.layers.12.mlp.dense_h_to_4h/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -63843,37 +30094,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4188" name="Constant_325379_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 10240" offset="3200313730" size="20480" />
+		<layer id="1952" name="self.model.gpt_neox.layers.12.mlp.dense_h_to_4h.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="10240" offset="2251346232" size="20480" />
 			<output>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.12.mlp.dense_h_to_4h.bias">
 					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4189" name="Constant_325379" type="Convert" version="opset1">
+		<layer id="1953" name="__module.model.gpt_neox.layers.12.mlp.dense_h_to_4h/ov_ext::linear/ConvertLike_1" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>10240</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4190" name="__module.model.gpt_neox.layers.18.mlp.dense_h_to_4h/aten::linear/Add" type="Add" version="opset1">
+		<layer id="1954" name="__module.model.gpt_neox.layers.12.mlp.dense_h_to_4h/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -63882,20 +30127,18 @@
 					<dim>10240</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>10240</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3128">
+				<port id="2" precision="FP32" names="1822">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>10240</dim>
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-		<layer id="4191" name="__module.model.gpt_neox.layers.18.mlp.act/aten::gelu/Gelu" type="Gelu" version="opset7">
+		<layer id="1955" name="__module.model.gpt_neox.layers.12.mlp.act/aten::gelu/Gelu" type="Gelu" version="opset7">
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@@ -63905,23 +30148,23 @@
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 			</input>
 			<output>
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+				<port id="1" precision="FP32" names="1823">
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 					<dim>-1</dim>
 					<dim>10240</dim>
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-		<layer id="4192" name="self.model.gpt_neox.layers.18.mlp.dense_4h_to_h.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="2560, 10240" offset="3200334210" size="52428800" />
+		<layer id="1956" name="self.model.gpt_neox.layers.12.mlp.dense_4h_to_h.weight" type="Const" version="opset1">
+			<data element_type="f16" shape="2560, 10240" offset="2251366712" size="52428800" />
 			<output>
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+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.12.mlp.dense_4h_to_h.weight">
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 					<dim>10240</dim>
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 		</layer>
-		<layer id="4193" name="self.model.gpt_neox.layers.18.mlp.dense_4h_to_h.weight" type="Convert" version="opset1">
+		<layer id="1957" name="__module.model.gpt_neox.layers.12.mlp.dense_4h_to_h/ov_ext::linear/ConvertLike" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -63939,7 +30182,7 @@
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 		</layer>
-		<layer id="4194" name="__module.model.gpt_neox.layers.18.mlp.dense_4h_to_h/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="1958" name="__module.model.gpt_neox.layers.12.mlp.dense_4h_to_h/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -63960,37 +30203,31 @@
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 			</output>
 		</layer>
-		<layer id="4195" name="Constant_325380_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 2560" offset="3252763010" size="5120" />
+		<layer id="1959" name="self.model.gpt_neox.layers.12.mlp.dense_4h_to_h.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="2560" offset="2303795512" size="5120" />
 			<output>
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-					<dim>1</dim>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.12.mlp.dense_4h_to_h.bias">
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4196" name="Constant_325380" type="Convert" version="opset1">
+		<layer id="1960" name="__module.model.gpt_neox.layers.12.mlp.dense_4h_to_h/ov_ext::linear/ConvertLike_1" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
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-					<dim>1</dim>
 					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP32">
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-					<dim>1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4197" name="__module.model.gpt_neox.layers.18.mlp.dense_4h_to_h/aten::linear/Add" type="Add" version="opset1">
+		<layer id="1961" name="__module.model.gpt_neox.layers.12.mlp.dense_4h_to_h/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -63999,20 +30236,18 @@
 					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
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 					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3132,input.77">
+				<port id="2" precision="FP32" names="1826,input.51">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
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 			</output>
 		</layer>
-		<layer id="4198" name="__module.model.gpt_neox.layers.18/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="1962" name="__module.model.gpt_neox.layers.12/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -64027,14 +30262,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3134,3136,hidden_states.39">
+				<port id="2" precision="FP32" names="1828,1830,hidden_states.55">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
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 			</output>
 		</layer>
-		<layer id="4199" name="__module.model.gpt_neox.layers.19.input_layernorm/aten::layer_norm/Constant" type="Const" version="opset1">
+		<layer id="1963" name="__module.model.gpt_neox.layers.13.input_layernorm/aten::layer_norm/Multiply" type="Const" version="opset1">
 			<data element_type="i32" shape="1" offset="258211870" size="4" />
 			<output>
 				<port id="0" precision="I32">
@@ -64042,7 +30277,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4200" name="__module.model.gpt_neox.layers.19.input_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
+		<layer id="1964" name="__module.model.gpt_neox.layers.13.input_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -64062,8 +30297,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4201" name="Constant_325381_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 2560" offset="3252768130" size="5120" />
+		<layer id="1965" name="Constant_37007_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 2560" offset="2303800632" size="5120" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -64072,7 +30307,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4202" name="Constant_325381" type="Convert" version="opset1">
+		<layer id="1966" name="Constant_37007" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -64092,7 +30327,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4203" name="__module.model.gpt_neox.layers.19.input_layernorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
+		<layer id="1967" name="__module.model.gpt_neox.layers.13.input_layernorm/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -64114,8 +30349,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4204" name="Constant_325382_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 2560" offset="3252773250" size="5120" />
+		<layer id="1968" name="Constant_37008_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 2560" offset="2303805752" size="5120" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -64124,7 +30359,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4205" name="Constant_325382" type="Convert" version="opset1">
+		<layer id="1969" name="Constant_37008" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -64144,7 +30379,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4206" name="__module.model.gpt_neox.layers.19.input_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="1970" name="__module.model.gpt_neox.layers.13.input_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -64159,23 +30394,23 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3146">
+				<port id="2" precision="FP32" names="1840,hidden_states.53">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4207" name="self.model.gpt_neox.layers.19.attention.query_key_value.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="7680, 2560" offset="3252778370" size="39321600" />
+		<layer id="1971" name="self.model.gpt_neox.layers.13.attention.query_key_value.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="7680, 2560" offset="2303810872" size="39321600" />
 			<output>
-				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.19.attention.query_key_value.weight">
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.13.attention.query_key_value.weight">
 					<dim>7680</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4208" name="self.model.gpt_neox.layers.19.attention.query_key_value.weight" type="Convert" version="opset1">
+		<layer id="1972" name="self.model.gpt_neox.layers.13.attention.query_key_value.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -64193,7 +30428,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4209" name="__module.model.gpt_neox.layers.19.attention.query_key_value/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="1973" name="__module.model.gpt_neox.layers.13.attention.query_key_value/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -64214,8 +30449,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4210" name="Constant_325383_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 7680" offset="3292099970" size="15360" />
+		<layer id="1974" name="Constant_37009_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 7680" offset="2343132472" size="15360" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -64224,7 +30459,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4211" name="Constant_325383" type="Convert" version="opset1">
+		<layer id="1975" name="Constant_37009" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -64244,7 +30479,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4212" name="__module.model.gpt_neox.layers.19.attention.query_key_value/aten::linear/Add" type="Add" version="opset1">
+		<layer id="1976" name="__module.model.gpt_neox.layers.13.attention.query_key_value/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -64259,14 +30494,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3153,qkv.77">
+				<port id="2" precision="FP32" names="1847,qkv.53">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>7680</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4213" name="__module.model.gpt_neox.layers.19.attention/prim::ListConstruct/Concat" type="Const" version="opset1">
+		<layer id="1977" name="__module.model.gpt_neox.layers.13.attention/prim::ListConstruct" type="Const" version="opset1">
 			<data element_type="i64" shape="4" offset="297559074" size="32" />
 			<rt_info>
 				<attribute name="precise" version="0" />
@@ -64277,7 +30512,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4214" name="__module.model.gpt_neox.layers.19.attention/aten::view/Reshape" type="Reshape" version="opset1">
+		<layer id="1978" name="__module.model.gpt_neox.layers.13.attention/aten::view/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -64290,97 +30525,169 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3157,qkv.79">
-					<dim>-1</dim>
+				<port id="2" precision="FP32" names="1851,qkv.55">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>240</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1979" name="Constant_8905" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1980" name="Constant_8907" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="18" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1981" name="Constant_8909" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1982" name="__module.model.gpt_neox.layers.13.attention/aten::slice/Slice" type="Slice" version="opset8">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>240</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="5" precision="FP32" names="1852">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1983" name="Constant_8918" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="297559122" size="32" />
+			<output>
+				<port id="0" precision="I64" names="1853">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1984" name="__module.model.gpt_neox.layers.13.attention/aten::permute/Transpose" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1854,query.27">
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>240</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4215" name="Constant_301052" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559106" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1985" name="Constant_8959" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4216" name="Constant_301055" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559138" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1986" name="Constant_8961" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="18" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4217" name="Constant_301058" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559170" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1987" name="Constant_8963" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4218" name="__module.model.gpt_neox.layers.19.attention/aten::slice/Slice" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1988" name="__module.model.gpt_neox.layers.13.attention/aten::slice/Slice_1" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
-					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>240</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
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 				<port id="2" precision="I64">
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 				<port id="3" precision="I64">
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+					<dim>1</dim>
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+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="3158">
-					<dim>-1</dim>
+				<port id="5" precision="FP32" names="1861,q.27">
 					<dim>-1</dim>
 					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4219" name="Constant_11261" type="Const" version="opset1">
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-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="4220" name="__module.model.gpt_neox.layers.19.attention/aten::permute/Transpose" type="Transpose" version="opset1">
+		<layer id="1989" name="__module.model.gpt_neox.layers.13.attention/aten::mul/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3160,query.115">
+				<port id="2" precision="FP32" names="1867">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -64388,41 +30695,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4221" name="Constant_301064" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559106" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1990" name="Constant_9117" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559246" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4222" name="Constant_301067" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559138" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1991" name="Constant_9119" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559254" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4223" name="Constant_301070" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559170" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1992" name="Constant_9121" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4224" name="__module.model.gpt_neox.layers.19.attention/aten::slice/Slice_1" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1993" name="__module.model.gpt_neox.layers.13.attention/aten::slice/Slice_2" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -64431,183 +30728,221 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="3167,q.39">
+				<port id="5" precision="FP32" names="1877,x2.53">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4225" name="self.model.gpt_neox.layers.19.attention.rotary_emb.cos_cached_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="2048, 80" offset="297559234" size="327680" />
+		<layer id="1994" name="Constant_37010_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 1, 1" offset="297559262" size="2" />
 			<output>
-				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.19.attention.rotary_emb.cos_cached">
-					<dim>2048</dim>
-					<dim>80</dim>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4226" name="self.model.gpt_neox.layers.19.attention.rotary_emb.cos_cached" type="Convert" version="opset1">
+		<layer id="1995" name="Constant_37010" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
-					<dim>2048</dim>
-					<dim>80</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP32">
-					<dim>2048</dim>
-					<dim>80</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4227" name="__module.model.gpt_neox.layers.19.attention.rotary_emb/aten::slice/Unsqueeze" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="2" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I64">
+		<layer id="1996" name="__module.model.gpt_neox.layers.13.attention/aten::neg/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="FP32">
 					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1878">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4228" name="Constant_301076" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559138" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1997" name="Constant_9014" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4229" name="Constant_301079" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297886914" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1998" name="Constant_9058" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559246" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4230" name="Constant_301082" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559170" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1999" name="Constant_9060" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4231" name="__module.model.gpt_neox.layers.19.attention/aten::slice/Slice_2" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="2000" name="__module.model.gpt_neox.layers.13.attention/aten::slice/Slice_3" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
-					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>240</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="3161">
-					<dim>-1</dim>
+				<port id="5" precision="FP32" names="1872">
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>80</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4232" name="ShapeOf_339638" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="2001" name="__module.model.gpt_neox.layers.13.attention/aten::cat/Concat" type="Concat" version="opset1">
+			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>80</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="FP32" names="1880">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4233" name="Constant_341027" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886946" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I64">
+		<layer id="2002" name="__module.model.gpt_neox.layers.13.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
 					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="4234" name="Constant_339640" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="2" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+			</input>
 			<output>
-				<port id="0" precision="I64" />
+				<port id="2" precision="FP32" names="1881">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="4235" name="Gather_339641" type="Gather" version="opset8">
-			<data batch_dims="0" />
+		<layer id="2003" name="__module.model.gpt_neox.layers.13.attention/aten::add/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>1</dim>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="3171">
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="1882,1900">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4236" name="Constant_433132_compressed" type="Const" version="opset1">
+		<layer id="2004" name="Constant_52414_compressed" type="Const" version="opset1">
 			<data element_type="f16" shape="" offset="0" size="2" />
 			<output>
 				<port id="0" precision="FP16" />
 			</output>
 		</layer>
-		<layer id="4237" name="Constant_433132" type="Convert" version="opset1">
+		<layer id="2005" name="Constant_52414" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -64619,7 +30954,7 @@
 				<port id="1" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="4238" name="Constant_433125" type="Const" version="opset1">
+		<layer id="2006" name="Constant_52407" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="10" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -64627,7 +30962,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4239" name="Constant_433127" type="Const" version="opset1">
+		<layer id="2007" name="Constant_52409" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -64635,7 +30970,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4240" name="Constant_433129" type="Const" version="opset1">
+		<layer id="2008" name="Constant_52411" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="18" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -64643,7 +30978,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4241" name="Concat_433130" type="Concat" version="opset1">
+		<layer id="2009" name="Concat_52412" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -64665,7 +31000,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4242" name="Broadcast_433133" type="Broadcast" version="opset3">
+		<layer id="2010" name="Broadcast_52415" type="Broadcast" version="opset3">
 			<data mode="numpy" />
 			<input>
 				<port id="0" precision="FP32" />
@@ -64682,8 +31017,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4243" name="ReadValue_417326" type="ReadValue" version="opset6">
-			<data variable_id="past_key_values.19.keypresent.19.key" variable_type="f32" variable_shape="?,32,?,80" />
+		<layer id="2011" name="ReadValue_49754" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.13.keypresent.13.key" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -64693,7 +31028,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="past_key_values.19.key">
+				<port id="1" precision="FP32" names="past_key_values.13.key">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -64701,13 +31036,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4244" name="Constant_402004" type="Const" version="opset1">
+		<layer id="2012" name="Constant_47407" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="4245" name="Gather_402005" type="Gather" version="opset8">
+		<layer id="2013" name="Gather_47408" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
@@ -64730,175 +31065,144 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4246" name="ShapeOf_339643" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-			</input>
+		<layer id="2014" name="Constant_8923" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="18" size="8" />
 			<output>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4247" name="Constant_339644" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="297886954" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I64" />
-			</output>
-		</layer>
-		<layer id="4248" name="Constant_339645" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="2" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2015" name="Constant_8925" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559264" size="8" />
 			<output>
-				<port id="0" precision="I64" />
-			</output>
-		</layer>
-		<layer id="4249" name="Gather_339646" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
-				<port id="1" precision="I64" />
-				<port id="2" precision="I64" />
-			</input>
-			<output>
-				<port id="3" precision="I64" names="3173" />
 			</output>
 		</layer>
-		<layer id="4250" name="Constant_337774" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886946" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2016" name="Constant_8927" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
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 		</layer>
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+				<port id="0" precision="FP32">
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+					<dim>-1</dim>
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 		</layer>
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 		</layer>
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-			<data begin_mask="0" end_mask="0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="2019" name="__module.model.gpt_neox.layers.13.attention/aten::permute/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
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+				<port id="2" precision="FP32" names="1857,key.53">
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 					<dim>80</dim>
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 		</layer>
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+		<layer id="2020" name="Constant_8979" type="Const" version="opset1">
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+				<port id="0" precision="I64">
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 		</layer>
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-					<dim>80</dim>
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-					<dim>-1</dim>
-					<dim>-1</dim>
+		<layer id="2021" name="Constant_8981" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="18" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
-				<port id="2" precision="I32" />
-			</input>
+			</output>
+		</layer>
+		<layer id="2022" name="Constant_8983" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
 			<output>
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-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
+				<port id="0" precision="I64">
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 				</port>
 			</output>
 		</layer>
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+		<layer id="2023" name="__module.model.gpt_neox.layers.13.attention/aten::slice/Slice_6" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64" />
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
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+				<port id="3" precision="I64">
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+				</port>
+				<port id="4" precision="I64">
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 			</input>
 			<output>
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+				<port id="5" precision="FP32" names="1863,k.27">
 					<dim>-1</dim>
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+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4258" name="__module.model.gpt_neox.layers.19.attention/aten::mul/Multiply" type="Multiply" version="opset1">
+		<layer id="2024" name="__module.model.gpt_neox.layers.13.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -64915,7 +31219,7 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3191">
+				<port id="2" precision="FP32" names="1883">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -64923,30 +31227,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4259" name="Constant_301087" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2025" name="Constant_9260" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559246" size="8" />
 			<output>
 				<port id="0" precision="I64">
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 			</output>
 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2026" name="Constant_9262" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559254" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-			<data output_type="i64" />
+		<layer id="2027" name="Constant_9264" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2028" name="__module.model.gpt_neox.layers.13.attention/aten::slice/Slice_7" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -64954,134 +31259,111 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-			</input>
-			<output>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="4262" name="__module.model.gpt_neox.layers.19.attention/aten::size/Constant_5" type="Const" version="opset1">
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-			<data batch_dims="0" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
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-			<output>
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-				<port id="1" precision="I64" />
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-			<output>
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-		<layer id="4265" name="__module.model.gpt_neox.layers.19.attention/aten::floor_divide/Floor_1" type="Floor" version="opset1">
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-				<port id="0" precision="I64" />
 			</input>
 			<output>
-				<port id="1" precision="I64" names="3194,3195,3199,3200" />
+				<port id="5" precision="FP32" names="1893,x2.55">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="4266" name="Constant_337776" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2029" name="Constant_37011_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 1, 1" offset="297559262" size="2" />
 			<output>
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+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 					<dim>1</dim>
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 			</output>
 		</layer>
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-			<data special_zero="false" />
+		<layer id="2030" name="Constant_37011" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
+				<port id="0" precision="FP16">
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+					<dim>1</dim>
+					<dim>1</dim>
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64">
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
 					<dim>1</dim>
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-			</output>
-		</layer>
-		<layer id="4268" name="Constant_301085" type="Const" version="opset1">
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 				</port>
 			</output>
 		</layer>
-		<layer id="4269" name="ScatterUpdate_301088" type="ScatterUpdate" version="opset3">
+		<layer id="2031" name="__module.model.gpt_neox.layers.13.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
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+				<port id="1" precision="FP32">
+					<dim>1</dim>
 					<dim>1</dim>
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-				<port id="2" precision="I64">
 					<dim>1</dim>
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-				<port id="3" precision="I32">
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="FP32" names="1894">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2032" name="Constant_9157" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4271" name="Constant_301094" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2033" name="Constant_9201" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559246" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2034" name="Constant_9203" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4272" name="__module.model.gpt_neox.layers.19.attention/aten::slice/Slice_3" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="2035" name="__module.model.gpt_neox.layers.13.attention/aten::slice/Slice_8" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -65090,59 +31372,29 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
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-				<port id="2" precision="I64">
-					<dim>4</dim>
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-				<port id="3" precision="I64">
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-					<dim>40</dim>
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-		<layer id="4273" name="Constant_325384_compressed" type="Const" version="opset1">
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-				<port id="0" precision="FP16">
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-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>1</dim>
 				</port>
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-		<layer id="4274" name="Constant_325384" type="Convert" version="opset1">
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-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
-			<input>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
+				<port id="2" precision="I64">
 					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
 					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
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-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="5" precision="FP32" names="1888">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4275" name="__module.model.gpt_neox.layers.19.attention/aten::neg/Multiply" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="2036" name="__module.model.gpt_neox.layers.13.attention/aten::cat/Concat_2" type="Concat" version="opset1">
+			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -65151,45 +31403,48 @@
 					<dim>40</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3202">
+				<port id="2" precision="FP32" names="1896">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>40</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4276" name="Constant_301139" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559106" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+		<layer id="2037" name="__module.model.gpt_neox.layers.13.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="4277" name="Constant_301144" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559170" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="FP32" names="1897">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4278" name="__module.model.gpt_neox.layers.19.attention/aten::slice/Slice_4" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="2038" name="__module.model.gpt_neox.layers.13.attention/aten::add/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -65197,43 +31452,40 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="2" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="3" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="3196">
+				<port id="2" precision="FP32" names="1898,1902">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>40</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4279" name="__module.model.gpt_neox.layers.19.attention/aten::cat/Concat" type="Concat" version="opset1">
-			<data axis="-1" />
+		<layer id="2039" name="__module.model.gpt_neox.layers.13.attention/aten::cat/Concat_4" type="Concat" version="opset1">
+			<data axis="-2" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>40</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>40</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3204">
+				<port id="2" precision="FP32" names="present.13.key">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -65241,61 +31493,53 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4280" name="self.model.gpt_neox.layers.19.attention.rotary_emb.sin_cached_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="2048, 80" offset="297887004" size="327680" />
+		<layer id="2040" name="Constant_52426_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="" offset="0" size="2" />
 			<output>
-				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.19.attention.rotary_emb.sin_cached">
-					<dim>2048</dim>
-					<dim>80</dim>
-				</port>
+				<port id="0" precision="FP16" />
 			</output>
 		</layer>
-		<layer id="4281" name="self.model.gpt_neox.layers.19.attention.rotary_emb.sin_cached" type="Convert" version="opset1">
+		<layer id="2041" name="Constant_52426" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
 			</rt_info>
 			<input>
-				<port id="0" precision="FP16">
-					<dim>2048</dim>
-					<dim>80</dim>
-				</port>
+				<port id="0" precision="FP16" />
 			</input>
 			<output>
-				<port id="1" precision="FP32">
-					<dim>2048</dim>
-					<dim>80</dim>
+				<port id="1" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="2042" name="Constant_52419" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="10" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4282" name="__module.model.gpt_neox.layers.19.attention.rotary_emb/aten::slice/Unsqueeze_4" type="Const" version="opset1">
+		<layer id="2043" name="Constant_52421" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="2" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4283" name="__module.model.gpt_neox.layers.19.attention.rotary_emb/aten::slice/Unsqueeze_6" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886946" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2044" name="Constant_52423" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="18" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4284" name="__module.model.gpt_neox.layers.19.attention.rotary_emb/aten::slice/Slice_1" type="StridedSlice" version="opset1">
-			<data begin_mask="0" end_mask="0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="2045" name="Concat_52424" type="Concat" version="opset1">
+			<data axis="0" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>2048</dim>
-					<dim>80</dim>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -65308,75 +31552,152 @@
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="3181,3184,sin.77">
+				<port id="4" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2046" name="Broadcast_52427" type="Broadcast" version="opset3">
+			<data mode="numpy" />
+			<input>
+				<port id="0" precision="FP32" />
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>0</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4285" name="Constant_38344" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="258211866" size="4" />
+		<layer id="2047" name="ReadValue_49756" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.13.valuepresent.13.value" variable_type="f32" variable_shape="?,32,?,80" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>0</dim>
+					<dim>80</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="I32" />
+				<port id="1" precision="FP32" names="past_key_values.13.value">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2048" name="Constant_47410" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="2" size="8" />
+			<output>
+				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="4286" name="__module.model.gpt_neox.layers.19.attention/aten::index/Gather_1" type="Gather" version="opset8">
+		<layer id="2049" name="Gather_47411" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I32">
 					<dim>-1</dim>
-					<dim>-1</dim>
 				</port>
-				<port id="2" precision="I32" />
+				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="FP32" names="3189">
+				<port id="3" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4287" name="__module.model.gpt_neox.layers.19.attention/aten::unsqueeze/Unsqueeze_1" type="Unsqueeze" version="opset1">
+		<layer id="2050" name="Constant_8941" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559264" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2051" name="Constant_8943" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559254" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2052" name="Constant_8945" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2053" name="__module.model.gpt_neox.layers.13.attention/aten::slice/Slice_10" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>32</dim>
+					<dim>240</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
-				<port id="1" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3190,sin.79">
+				<port id="5" precision="FP32" names="1858">
 					<dim>-1</dim>
-					<dim>1</dim>
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4288" name="__module.model.gpt_neox.layers.19.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="2054" name="Constant_8954" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="297559122" size="32" />
+			<output>
+				<port id="0" precision="I64" names="1859">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2055" name="__module.model.gpt_neox.layers.13.attention/aten::permute/Transpose_2" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>1</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
+				<port id="1" precision="I64">
+					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3205">
+				<port id="2" precision="FP32" names="1860">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -65384,8 +31705,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4289" name="__module.model.gpt_neox.layers.19.attention/aten::add/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="2056" name="__module.model.gpt_neox.layers.13.attention/aten::cat/Concat_5" type="Concat" version="opset1">
+			<data axis="-2" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -65401,7 +31722,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3206,3224,3234,query.117,query.119">
+				<port id="2" precision="FP32" names="present.13.value">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -65409,98 +31730,164 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4290" name="Constant_11275" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559202" size="32" />
+		<layer id="2057" name="Constant_9336" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
-				<port id="0" precision="I64" names="3162">
-					<dim>4</dim>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4291" name="__module.model.gpt_neox.layers.19.attention/aten::permute/Transpose_1" type="Transpose" version="opset1">
+		<layer id="2058" name="ShapeOf_39148" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
+			</input>
+			<output>
 				<port id="1" precision="I64">
 					<dim>4</dim>
 				</port>
+			</output>
+		</layer>
+		<layer id="2059" name="Constant_39149" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559280" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2060" name="Constant_39150" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="2" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="2061" name="Gather_39151" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3163,key.115">
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2062" name="ShapeOf_39152" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="4292" name="Constant_301190" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559106" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2063" name="Constant_39153" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559280" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4293" name="Constant_301193" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559138" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2064" name="Constant_39154" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="2" size="8" />
 			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="2065" name="Gather_39155" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64" />
+			</input>
+			<output>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="4294" name="Constant_301196" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559170" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2066" name="Add_39156" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="I64" names="1907">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2067" name="Constant_9339" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4295" name="__module.model.gpt_neox.layers.19.attention/aten::slice/Slice_6" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="2068" name="__module.model.gpt_neox.layers.13.attention/aten::slice/Slice_14" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>32</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
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 					<dim>-1</dim>
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 					<dim>-1</dim>
-					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
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-			<data auto_broadcast="numpy" />
+		<layer id="2069" name="__module.model.gpt_neox.layers.13.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+			<data causal="false" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -65510,13 +31897,25 @@
 				</port>
 				<port id="1" precision="FP32">
 					<dim>-1</dim>
-					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
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 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
+				<port id="3" precision="FP32">
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+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
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 			</input>
 			<output>
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+				<port id="4" precision="FP32" names="1912,attn_output.105">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -65524,203 +31923,280 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4297" name="Constant_301200" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2070" name="__module.model.gpt_neox.layers.13.attention/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="297559312" size="16" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2071" name="__module.model.gpt_neox.layers.13.attention/aten::transpose/Transpose" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1913">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>80</dim>
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 			</output>
 		</layer>
-		<layer id="4298" name="Constant_301199" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886962" size="8" />
+		<layer id="2072" name="Constant_40548" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="297559328" size="24" />
 			<rt_info>
 				<attribute name="precise" version="0" />
 			</rt_info>
 			<output>
 				<port id="0" precision="I64">
-					<dim>1</dim>
+					<dim>3</dim>
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 			</output>
 		</layer>
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-			<data output_type="i64" />
+		<layer id="2073" name="__module.model.gpt_neox.layers.13.attention/aten::view/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
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 					<dim>80</dim>
 				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
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 			</input>
 			<output>
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-					<dim>4</dim>
+				<port id="2" precision="FP32" names="1916">
+					<dim>-1</dim>
+					<dim>-1</dim>
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 				</port>
 			</output>
 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2074" name="self.model.gpt_neox.layers.13.attention.dense.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="2560, 2560" offset="2343147832" size="13107200" />
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+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.13.attention.dense.weight">
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+					<dim>2560</dim>
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 			</output>
 		</layer>
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-			<data batch_dims="0" />
+		<layer id="2075" name="self.model.gpt_neox.layers.13.attention.dense.weight" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
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 			<input>
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-					<dim>4</dim>
+				<port id="0" precision="FP16">
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 			</input>
 			<output>
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+					<dim>2560</dim>
+					<dim>2560</dim>
+				</port>
 			</output>
 		</layer>
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-			<data auto_broadcast="numpy" m_pythondiv="true" />
+		<layer id="2076" name="__module.model.gpt_neox.layers.13.attention.dense/ov_ext::linear/MatMul" type="MatMul" version="opset1">
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-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
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 			</input>
 			<output>
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+				<port id="2" precision="FP32">
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+					<dim>-1</dim>
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 			</output>
 		</layer>
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-				<port id="0" precision="I64" />
-			</input>
+		<layer id="2077" name="Constant_37012_compressed" type="Const" version="opset1">
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 			<output>
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+					<dim>1</dim>
+					<dim>2560</dim>
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 			</output>
 		</layer>
-		<layer id="4304" name="Constant_337778" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886946" size="8" />
+		<layer id="2078" name="Constant_37012" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="precise" version="0" />
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
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+					<dim>1</dim>
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+					<dim>2560</dim>
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 			<output>
-				<port id="0" precision="I64">
+				<port id="1" precision="FP32">
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 					<dim>1</dim>
+					<dim>2560</dim>
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 			</output>
 		</layer>
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-			<data special_zero="false" />
+		<layer id="2079" name="__module.model.gpt_neox.layers.13.attention.dense/ov_ext::linear/Add" type="Add" version="opset1">
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 			<input>
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-				<port id="1" precision="I64">
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 					<dim>1</dim>
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 				</port>
 			</input>
 			<output>
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-					<dim>1</dim>
+				<port id="2" precision="FP32" names="1919,1921,input.53">
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 		</layer>
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-				<attribute name="precise" version="0" />
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+		<layer id="2080" name="__module.model.gpt_neox.layers.13/aten::add/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
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+				<port id="2" precision="FP32" names="1925,attn_output.111">
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+			</output>
+		</layer>
+		<layer id="2081" name="__module.model.gpt_neox.layers.13.post_attention_layernorm/aten::layer_norm/Multiply" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="I32">
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 				</port>
 			</output>
 		</layer>
-		<layer id="4307" name="ScatterUpdate_301201" type="ScatterUpdate" version="opset3">
+		<layer id="2082" name="__module.model.gpt_neox.layers.13.post_attention_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
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-				<port id="2" precision="I64">
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+				<port id="0" precision="FP32">
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 				</port>
-				<port id="3" precision="I32">
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 				</port>
 			</input>
 			<output>
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-					<dim>4</dim>
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+					<dim>-1</dim>
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 			</output>
 		</layer>
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-				<attribute name="precise" version="0" />
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+		<layer id="2083" name="Constant_37013_compressed" type="Const" version="opset1">
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 			<output>
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+					<dim>1</dim>
+					<dim>2560</dim>
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 			</output>
 		</layer>
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-			<data element_type="i64" shape="4" offset="297559170" size="32" />
+		<layer id="2084" name="Constant_37013" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="precise" version="0" />
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
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 			<output>
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-					<dim>4</dim>
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 			</output>
 		</layer>
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-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="2085" name="__module.model.gpt_neox.layers.13.post_attention_layernorm/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
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 					<dim>-1</dim>
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-					<dim>4</dim>
-				</port>
-				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>2560</dim>
 				</port>
-				<port id="3" precision="I64">
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+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
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 			</input>
 			<output>
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 					<dim>-1</dim>
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 					<dim>-1</dim>
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 		</layer>
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-			<data element_type="f16" shape="1, 1, 1, 1" offset="297887002" size="2" />
+		<layer id="2086" name="Constant_37014_compressed" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
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 			</output>
 		</layer>
-		<layer id="4312" name="Constant_325385" type="Convert" version="opset1">
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 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -65729,625 +32205,557 @@
 				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
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+					<dim>2560</dim>
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 			</input>
 			<output>
 				<port id="1" precision="FP32">
 					<dim>1</dim>
 					<dim>1</dim>
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+					<dim>2560</dim>
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 			</output>
 		</layer>
-		<layer id="4313" name="__module.model.gpt_neox.layers.19.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
+		<layer id="2088" name="__module.model.gpt_neox.layers.13.post_attention_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
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 				<port id="0" precision="FP32">
 					<dim>-1</dim>
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 					<dim>-1</dim>
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 				<port id="1" precision="FP32">
 					<dim>1</dim>
 					<dim>1</dim>
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-					<dim>1</dim>
+					<dim>2560</dim>
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 			</input>
 			<output>
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+				<port id="2" precision="FP32" names="1929">
 					<dim>-1</dim>
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 					<dim>-1</dim>
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 		</layer>
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+		<layer id="2089" name="self.model.gpt_neox.layers.13.mlp.dense_h_to_4h.weight" type="Const" version="opset1">
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 			<output>
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+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.13.mlp.dense_h_to_4h.weight">
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 		</layer>
-		<layer id="4315" name="Constant_301257" type="Const" version="opset1">
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+		<layer id="2090" name="__module.model.gpt_neox.layers.13.mlp.dense_h_to_4h/ov_ext::linear/ConvertLike" type="Convert" version="opset1">
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 			<rt_info>
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@@ -66516,212 +32925,252 @@
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 					<dim>1</dim>
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+		<layer id="2135" name="Constant_37018" type="Convert" version="opset1">
+			<data destination_type="f32" />
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+				<attribute name="decompression" version="0" />
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+		</layer>
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-			<data element_type="f16" shape="" offset="0" size="2" />
+		<layer id="2137" name="Constant_9644" type="Const" version="opset1">
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+				<port id="0" precision="I64">
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 		</layer>
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+		<layer id="2139" name="Constant_9690" type="Const" version="opset1">
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+				<port id="0" precision="I64">
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 		</layer>
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-			<data auto_broadcast="numpy" />
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+		<layer id="2141" name="__module.model.gpt_neox.layers.14.attention/aten::cat/Concat" type="Concat" version="opset1">
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 			</output>
 		</layer>
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 		</layer>
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-			<data output_type="i64" />
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+					<dim>-1</dim>
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 		</layer>
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-				<attribute name="precise" version="0" />
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+		<layer id="2144" name="Constant_52438_compressed" type="Const" version="opset1">
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+				<port id="0" precision="FP16" />
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 		</layer>
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+		<layer id="2145" name="Constant_52438" type="Convert" version="opset1">
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-				<port id="2" precision="I64" />
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 			</input>
 			<output>
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-					<dim>1</dim>
-				</port>
+				<port id="1" precision="FP32" />
 			</output>
 		</layer>
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-				<attribute name="precise" version="0" />
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+		<layer id="2146" name="Constant_52431" type="Const" version="opset1">
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 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2147" name="Constant_52433" type="Const" version="opset1">
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 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
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 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2148" name="Constant_52435" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="18" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
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 		</layer>
-		<layer id="4380" name="__module.model.gpt_neox.layers.19.attention/prim::ListConstruct/Concat_1" type="Concat" version="opset1">
+		<layer id="2149" name="Concat_52436" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -66738,79 +33187,69 @@
 				</port>
 			</input>
 			<output>
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-				</port>
-			</input>
-			<output>
-				<port id="2" precision="I64">
+				<port id="4" precision="I64">
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 				</port>
 			</output>
 		</layer>
-		<layer id="4382" name="__module.model.gpt_neox.layers.19.attention/aten::add/Add_2" type="Broadcast" version="opset3">
+		<layer id="2150" name="Broadcast_52439" type="Broadcast" version="opset3">
 			<data mode="numpy" />
 			<input>
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-					<dim>-1</dim>
-					<dim>-1</dim>
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+				<port id="0" precision="FP32" />
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 				</port>
 			</input>
 			<output>
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-					<dim>-1</dim>
-					<dim>1</dim>
-					<dim>-1</dim>
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>0</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
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-			<data causal="false" />
+		<layer id="2151" name="ReadValue_49758" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.14.keypresent.14.key" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
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+					<dim>0</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="FP32">
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="past_key_values.14.key">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="2" precision="FP32">
+			</output>
+		</layer>
+		<layer id="2152" name="Constant_47413" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="2" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="2153" name="Gather_47414" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="3" precision="FP32">
-					<dim>-1</dim>
-					<dim>1</dim>
-					<dim>-1</dim>
+				<port id="1" precision="I32">
 					<dim>-1</dim>
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+				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="3251,3252,sdpa_result.39,tensor.77">
+				<port id="3" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -66818,228 +33257,234 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4384" name="Constant_11730" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559202" size="32" />
+		<layer id="2154" name="Constant_9553" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="18" size="8" />
 			<output>
-				<port id="0" precision="I64" names="3253">
-					<dim>4</dim>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-			</input>
+		<layer id="2155" name="Constant_9555" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559264" size="8" />
 			<output>
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-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>80</dim>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2156" name="Constant_9557" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
 			<output>
 				<port id="0" precision="I64">
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 				</port>
 			</output>
 		</layer>
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-			<data special_zero="true" />
+		<layer id="2157" name="__module.model.gpt_neox.layers.14.attention/aten::slice/Slice_5" type="Slice" version="opset8">
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 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
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+					<dim>240</dim>
 				</port>
 				<port id="1" precision="I64">
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+					<dim>1</dim>
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+				<port id="2" precision="I64">
+					<dim>1</dim>
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+				<port id="3" precision="I64">
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+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
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+				<port id="5" precision="FP32" names="1967">
 					<dim>-1</dim>
 					<dim>-1</dim>
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-					<dim>2560</dim>
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+					<dim>80</dim>
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 			</output>
 		</layer>
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-				<port id="0" precision="FP16">
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-					<dim>2560</dim>
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-			</input>
+		<layer id="2158" name="Constant_9566" type="Const" version="opset1">
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@@ -67726,738 +34115,635 @@
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@@ -68466,296 +34752,234 @@
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-		<layer id="4509" name="__module.model.gpt_neox.layers.20.attention/aten::permute/Transpose_1" type="Transpose" version="opset1">
+		<layer id="2264" name="__module.model.gpt_neox.layers.15.attention/aten::permute/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -68768,7 +34992,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3312,key.121">
+				<port id="2" precision="FP32" names="2078,query.31">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -68776,41 +35000,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4510" name="Constant_301541" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559106" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2265" name="Constant_10219" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4511" name="Constant_301544" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559138" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2266" name="Constant_10221" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="18" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4512" name="Constant_301547" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559170" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2267" name="Constant_10223" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4513" name="__module.model.gpt_neox.layers.20.attention/aten::slice/Slice_6" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="2268" name="__module.model.gpt_neox.layers.15.attention/aten::slice/Slice_1" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -68819,17 +35033,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="3318,k.41">
+				<port id="5" precision="FP32" names="2085,q.31">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -68837,7 +35054,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4514" name="__module.model.gpt_neox.layers.20.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
+		<layer id="2269" name="__module.model.gpt_neox.layers.15.attention/aten::mul/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -68854,173 +35071,39 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3356">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="4515" name="Constant_301551" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559106" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="4516" name="Constant_301550" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886962" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="4517" name="__module.model.gpt_neox.layers.20.attention/aten::size/ShapeOf_7" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
-			<input>
-				<port id="0" precision="FP32">
+				<port id="2" precision="FP32" names="2091">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-			</input>
-			<output>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="4518" name="__module.model.gpt_neox.layers.20.attention/aten::size/Constant_7" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="258211866" size="4" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I32" />
-			</output>
-		</layer>
-		<layer id="4519" name="__module.model.gpt_neox.layers.20.attention/aten::size/Gather_7" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="1" precision="I64" />
-				<port id="2" precision="I32" />
-			</input>
-			<output>
-				<port id="3" precision="I64" names="3357,3362" />
-			</output>
-		</layer>
-		<layer id="4520" name="__module.model.gpt_neox.layers.20.attention/aten::floor_divide/Divide_3" type="Divide" version="opset1">
-			<data auto_broadcast="numpy" m_pythondiv="true" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
-			</input>
-			<output>
-				<port id="2" precision="I64" />
-			</output>
-		</layer>
-		<layer id="4521" name="__module.model.gpt_neox.layers.20.attention/aten::floor_divide/Floor_3" type="Floor" version="opset1">
-			<input>
-				<port id="0" precision="I64" />
-			</input>
-			<output>
-				<port id="1" precision="I64" names="3359,3360,3364,3365" />
 			</output>
 		</layer>
-		<layer id="4522" name="Constant_337788" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886946" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2270" name="Constant_10377" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559246" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4523" name="__module.model.gpt_neox.layers.20.attention/aten::slice/Unsqueeze_33" type="Reshape" version="opset1">
-			<data special_zero="false" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="I64">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="4524" name="Constant_301549" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="258211866" size="4" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2271" name="Constant_10379" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559254" size="8" />
 			<output>
-				<port id="0" precision="I32">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="4525" name="ScatterUpdate_301552" type="ScatterUpdate" version="opset3">
-			<input>
 				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="I32">
 					<dim>1</dim>
 				</port>
-			</input>
-			<output>
-				<port id="4" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="4526" name="Constant_301555" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297886970" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
 			</output>
 		</layer>
-		<layer id="4527" name="Constant_301558" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559170" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2272" name="Constant_10381" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4528" name="__module.model.gpt_neox.layers.20.attention/aten::slice/Slice_7" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="2273" name="__module.model.gpt_neox.layers.15.attention/aten::slice/Slice_2" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -69029,17 +35112,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="3366,x2.83">
+				<port id="5" precision="FP32" names="2101,x2.61">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -69047,8 +35133,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4529" name="Constant_325395_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 1, 1" offset="297887002" size="2" />
+		<layer id="2274" name="Constant_37026_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 1, 1" offset="297559262" size="2" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -69058,7 +35144,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4530" name="Constant_325395" type="Convert" version="opset1">
+		<layer id="2275" name="Constant_37026" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -69080,7 +35166,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4531" name="__module.model.gpt_neox.layers.20.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
+		<layer id="2276" name="__module.model.gpt_neox.layers.15.attention/aten::neg/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -69097,7 +35183,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3367">
+				<port id="2" precision="FP32" names="2102">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -69105,30 +35191,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4532" name="Constant_301603" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559106" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2277" name="Constant_10274" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4533" name="Constant_301608" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559170" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2278" name="Constant_10318" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559246" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2279" name="Constant_10320" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4534" name="__module.model.gpt_neox.layers.20.attention/aten::slice/Slice_8" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="2280" name="__module.model.gpt_neox.layers.15.attention/aten::slice/Slice_3" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -69137,17 +35224,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="3361">
+				<port id="5" precision="FP32" names="2096">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -69155,7 +35245,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4535" name="__module.model.gpt_neox.layers.20.attention/aten::cat/Concat_2" type="Concat" version="opset1">
+		<layer id="2281" name="__module.model.gpt_neox.layers.15.attention/aten::cat/Concat" type="Concat" version="opset1">
 			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
@@ -69172,7 +35262,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3369">
+				<port id="2" precision="FP32" names="2104">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -69180,7 +35270,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4536" name="__module.model.gpt_neox.layers.20.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
+		<layer id="2282" name="__module.model.gpt_neox.layers.15.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -69197,7 +35287,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3370">
+				<port id="2" precision="FP32" names="2105">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -69205,7 +35295,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4537" name="__module.model.gpt_neox.layers.20.attention/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="2283" name="__module.model.gpt_neox.layers.15.attention/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -69222,32 +35312,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3371,3375">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="4538" name="__module.model.gpt_neox.layers.20.attention/aten::to/Convert_1" type="Concat" version="opset1">
-			<data axis="-2" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="present.20.key">
+				<port id="2" precision="FP32" names="2106,2124">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -69255,13 +35320,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4539" name="Constant_433171_compressed" type="Const" version="opset1">
+		<layer id="2284" name="Constant_52462_compressed" type="Const" version="opset1">
 			<data element_type="f16" shape="" offset="0" size="2" />
 			<output>
 				<port id="0" precision="FP16" />
 			</output>
 		</layer>
-		<layer id="4540" name="Constant_433171" type="Convert" version="opset1">
+		<layer id="2285" name="Constant_52462" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -69273,7 +35338,7 @@
 				<port id="1" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="4541" name="Constant_433164" type="Const" version="opset1">
+		<layer id="2286" name="Constant_52455" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="10" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -69281,7 +35346,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4542" name="Constant_433166" type="Const" version="opset1">
+		<layer id="2287" name="Constant_52457" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -69289,7 +35354,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4543" name="Constant_433168" type="Const" version="opset1">
+		<layer id="2288" name="Constant_52459" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="18" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -69297,7 +35362,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4544" name="Concat_433169" type="Concat" version="opset1">
+		<layer id="2289" name="Concat_52460" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -69319,7 +35384,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4545" name="Broadcast_433172" type="Broadcast" version="opset3">
+		<layer id="2290" name="Broadcast_52463" type="Broadcast" version="opset3">
 			<data mode="numpy" />
 			<input>
 				<port id="0" precision="FP32" />
@@ -69336,8 +35401,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4546" name="ReadValue_417336" type="ReadValue" version="opset6">
-			<data variable_id="past_key_values.20.valuepresent.20.value" variable_type="f32" variable_shape="?,32,?,80" />
+		<layer id="2291" name="ReadValue_49762" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.15.keypresent.15.key" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -69347,7 +35412,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="past_key_values.20.value">
+				<port id="1" precision="FP32" names="past_key_values.15.key">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -69355,13 +35420,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4547" name="Constant_402013" type="Const" version="opset1">
+		<layer id="2292" name="Constant_47419" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="4548" name="Gather_402014" type="Gather" version="opset8">
+		<layer id="2293" name="Gather_47420" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
@@ -69384,41 +35449,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4549" name="Constant_301653" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2294" name="Constant_10183" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="18" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4550" name="Constant_301656" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297886970" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2295" name="Constant_10185" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559264" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4551" name="Constant_301659" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559170" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2296" name="Constant_10187" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4552" name="__module.model.gpt_neox.layers.20.attention/aten::slice/Slice_10" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="2297" name="__module.model.gpt_neox.layers.15.attention/aten::slice/Slice_5" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -69427,17 +35482,20 @@
 					<dim>240</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
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 				</port>
 				<port id="2" precision="I64">
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+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
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+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
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+				<port id="5" precision="FP32" names="2079">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
@@ -69445,15 +35503,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4553" name="Constant_11870" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559202" size="32" />
+		<layer id="2298" name="Constant_10196" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="297559122" size="32" />
 			<output>
-				<port id="0" precision="I64" names="3314">
+				<port id="0" precision="I64" names="2080">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4554" name="__module.model.gpt_neox.layers.20.attention/aten::permute/Transpose_2" type="Transpose" version="opset1">
+		<layer id="2299" name="__module.model.gpt_neox.layers.15.attention/aten::permute/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -69466,32 +35524,7 @@
 				</port>
 			</input>
 			<output>
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-					<dim>-1</dim>
-					<dim>80</dim>
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-		<layer id="4555" name="__module.model.gpt_neox.layers.20.attention/aten::cat/Concat_5" type="Concat" version="opset1">
-			<data axis="-2" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
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-					<dim>80</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="present.20.value">
+				<port id="2" precision="FP32" names="2081,key.61">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -69499,41 +35532,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4556" name="__module.model.gpt_neox.layers.20.attention/aten::slice/Slice_11" type="Const" version="opset1">
-			<data element_type="boolean" shape="1, 1, 2048, 2048" offset="298214684" size="4194304" />
+		<layer id="2300" name="Constant_10239" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
-				<port id="0" precision="BOOL" names="3392">
-					<dim>1</dim>
+				<port id="0" precision="I64">
 					<dim>1</dim>
-					<dim>2048</dim>
-					<dim>2048</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4557" name="Constant_301663" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2301" name="Constant_10241" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="18" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>3</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4558" name="Constant_301662" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886954" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2302" name="Constant_10243" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4559" name="ShapeOf_339739" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="2303" name="__module.model.gpt_neox.layers.15.attention/aten::slice/Slice_6" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -69541,56 +35564,30 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-			</input>
-			<output>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
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-		</layer>
-		<layer id="4560" name="Constant_339740" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="297886954" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
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-			<output>
-				<port id="0" precision="I64" />
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-		</layer>
-		<layer id="4561" name="Constant_339741" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="2" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I64" />
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-		<layer id="4562" name="Gather_339742" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
-				<port id="1" precision="I64" />
-				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" />
+				<port id="5" precision="FP32" names="2087,k.31">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="4563" name="Add_339743" type="Add" version="opset1">
+		<layer id="2304" name="__module.model.gpt_neox.layers.15.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
-			<input>
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-				<port id="1" precision="I64" />
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-			<output>
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-		<layer id="4564" name="ShapeOf_339810" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -69598,94 +35595,53 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-			</input>
-			<output>
-				<port id="1" precision="I64">
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-		<layer id="4565" name="Constant_339811" type="Const" version="opset1">
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-		<layer id="4566" name="Constant_339812" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
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-		<layer id="4567" name="Gather_339813" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
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-				<port id="2" precision="I64" />
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-			<output>
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-		<layer id="4568" name="__module.model.gpt_neox.layers.20.attention/aten::sub/Subtract" type="Subtract" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="I64" names="3389,3390" />
+				<port id="2" precision="FP32" names="2107">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="4569" name="Constant_337790" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886946" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2305" name="Constant_10520" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559246" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-			</input>
+		<layer id="2306" name="Constant_10522" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559254" size="8" />
 			<output>
-				<port id="2" precision="I64">
+				<port id="0" precision="I64">
 					<dim>1</dim>
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 		</layer>
-		<layer id="4571" name="Constant_301661" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2307" name="Constant_10524" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
 			<output>
-				<port id="0" precision="I32">
+				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4572" name="ScatterUpdate_301664" type="ScatterUpdate" version="opset3">
+		<layer id="2308" name="__module.model.gpt_neox.layers.15.attention/aten::slice/Slice_7" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64">
-					<dim>3</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -69693,160 +35649,111 @@
 				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
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 					<dim>1</dim>
 				</port>
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-			<output>
 				<port id="4" precision="I64">
-					<dim>3</dim>
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-		<layer id="4573" name="Constant_301665" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
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 			<output>
-				<port id="0" precision="I64">
-					<dim>3</dim>
+				<port id="5" precision="FP32" names="2117,x2.63">
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+					<dim>32</dim>
+					<dim>-1</dim>
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-			<rt_info>
-				<attribute name="precise" version="0" />
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+		<layer id="2309" name="Constant_37027_compressed" type="Const" version="opset1">
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-		<layer id="4576" name="ScatterUpdate_301666" type="ScatterUpdate" version="opset3">
+		<layer id="2310" name="Constant_37027" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
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-				<port id="1" precision="I64">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2313" name="Constant_10461" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559246" size="8" />
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-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2314" name="Constant_10463" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
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 				</port>
 			</output>
 		</layer>
-		<layer id="4583" name="ScatterUpdate_301744" type="ScatterUpdate" version="opset3">
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-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="FP32">
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+					<dim>-1</dim>
+					<dim>80</dim>
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 				<port id="1" precision="I64">
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@@ -69854,212 +35761,165 @@
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 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
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 				</port>
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-			<output>
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-					<dim>4</dim>
+					<dim>1</dim>
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-			<rt_info>
-				<attribute name="precise" version="0" />
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+			</input>
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+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
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 		</layer>
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-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="2316" name="__module.model.gpt_neox.layers.15.attention/aten::cat/Concat_2" type="Concat" version="opset1">
+			<data axis="-1" />
 			<input>
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-					<dim>1</dim>
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-				</port>
-				<port id="2" precision="I64">
-					<dim>4</dim>
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+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
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 			</input>
 			<output>
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-					<dim>1</dim>
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 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
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 			</output>
 		</layer>
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 			</output>
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 			</input>
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 			</output>
 		</layer>
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 					<dim>-1</dim>
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+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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 		</layer>
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+		<layer id="2321" name="Constant_52474" type="Convert" version="opset1">
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 			</input>
 			<output>
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+		<layer id="2322" name="Constant_52467" type="Const" version="opset1">
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 				<port id="0" precision="I64">
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+		<layer id="2323" name="Constant_52469" type="Const" version="opset1">
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 				<port id="0" precision="I64">
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-				<attribute name="precise" version="0" />
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+		<layer id="2324" name="Constant_52471" type="Const" version="opset1">
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 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
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 		</layer>
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 			<input>
 				<port id="0" precision="I64">
@@ -70076,79 +35936,40 @@
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 			<output>
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-					<dim>4</dim>
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-			</input>
-			<output>
-				<port id="2" precision="I64">
+				<port id="4" precision="I64">
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 				</port>
 			</output>
 		</layer>
-		<layer id="4600" name="__module.model.gpt_neox.layers.20.attention/aten::add/Add_2" type="Broadcast" version="opset3">
+		<layer id="2326" name="Broadcast_52475" type="Broadcast" version="opset3">
 			<data mode="numpy" />
 			<input>
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-					<dim>-1</dim>
-					<dim>-1</dim>
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+				<port id="0" precision="FP32" />
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 				</port>
 			</input>
 			<output>
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-					<dim>-1</dim>
-					<dim>1</dim>
-					<dim>-1</dim>
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>0</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
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-			<data causal="false" />
+		<layer id="2327" name="ReadValue_49764" type="ReadValue" version="opset6">
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 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
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-				<port id="2" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
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 					<dim>80</dim>
 				</port>
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 			</input>
 			<output>
-				<port id="4" precision="FP32" names="3400,3401,sdpa_result.41,tensor.81">
+				<port id="1" precision="FP32" names="past_key_values.15.value">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -70156,15 +35977,14 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4602" name="Constant_12311" type="Const" version="opset1">
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+		<layer id="2328" name="Constant_47422" type="Const" version="opset1">
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 			<output>
-				<port id="0" precision="I64" names="3402">
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+				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="4603" name="__module.model.gpt_neox.layers.20.attention/aten::permute/Transpose_3" type="Transpose" version="opset1">
+		<layer id="2329" name="Gather_47423" type="Gather" version="opset8">
+			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -70172,432 +35992,392 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="I32">
+					<dim>-1</dim>
 				</port>
+				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3403">
-					<dim>-1</dim>
+				<port id="3" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
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+		<layer id="2330" name="Constant_10201" type="Const" version="opset1">
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+			<data element_type="i64" shape="3" offset="297559328" size="24" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2353" name="__module.model.gpt_neox.layers.15.attention/aten::view/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
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-					<dim>10240</dim>
+					<dim>32</dim>
+					<dim>80</dim>
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+				<port id="1" precision="I64">
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 			<output>
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+				<port id="2" precision="FP32" names="2140">
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 		</layer>
-		<layer id="4628" name="self.model.gpt_neox.layers.20.mlp.dense_4h_to_h.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="2560, 10240" offset="3515040130" size="52428800" />
+		<layer id="2354" name="self.model.gpt_neox.layers.15.attention.dense.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="2560, 2560" offset="2657853752" size="13107200" />
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+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.15.attention.dense.weight">
+					<dim>2560</dim>
 					<dim>2560</dim>
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 			</output>
 		</layer>
-		<layer id="4629" name="self.model.gpt_neox.layers.20.mlp.dense_4h_to_h.weight" type="Convert" version="opset1">
+		<layer id="2355" name="self.model.gpt_neox.layers.15.attention.dense.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
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@@ -70605,27 +36385,27 @@
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 		</layer>
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+		<layer id="2356" name="__module.model.gpt_neox.layers.15.attention.dense/ov_ext::linear/MatMul" type="MatMul" version="opset1">
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@@ -70636,8 +36416,8 @@
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 			</output>
 		</layer>
-		<layer id="4631" name="Constant_325400_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 2560" offset="3567468930" size="5120" />
+		<layer id="2357" name="Constant_37028_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 2560" offset="2670960952" size="5120" />
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 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -70646,7 +36426,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4632" name="Constant_325400" type="Convert" version="opset1">
+		<layer id="2358" name="Constant_37028" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -70666,7 +36446,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4633" name="__module.model.gpt_neox.layers.20.mlp.dense_4h_to_h/aten::linear/Add" type="Add" version="opset1">
+		<layer id="2359" name="__module.model.gpt_neox.layers.15.attention.dense/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
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@@ -70681,14 +36461,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3430,input.85">
+				<port id="2" precision="FP32" names="2143,2145,input.61">
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 					<dim>-1</dim>
 					<dim>2560</dim>
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 			</output>
 		</layer>
-		<layer id="4634" name="__module.model.gpt_neox.layers.20/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="2360" name="__module.model.gpt_neox.layers.15/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -70703,14 +36483,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3432,3434,hidden_states.43">
+				<port id="2" precision="FP32" names="2149,attn_output.127">
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 					<dim>-1</dim>
 					<dim>2560</dim>
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 			</output>
 		</layer>
-		<layer id="4635" name="__module.model.gpt_neox.layers.21.input_layernorm/aten::layer_norm/Constant" type="Const" version="opset1">
+		<layer id="2361" name="__module.model.gpt_neox.layers.15.post_attention_layernorm/aten::layer_norm/Multiply" type="Const" version="opset1">
 			<data element_type="i32" shape="1" offset="258211870" size="4" />
 			<output>
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@@ -70718,7 +36498,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4636" name="__module.model.gpt_neox.layers.21.input_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
+		<layer id="2362" name="__module.model.gpt_neox.layers.15.post_attention_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -70738,60 +36518,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4637" name="Constant_325401_compressed" type="Const" version="opset1">
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-		</layer>
-		<layer id="4638" name="Constant_325401" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
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-					<dim>2560</dim>
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-		</layer>
-		<layer id="4639" name="__module.model.gpt_neox.layers.21.input_layernorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
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-			<input>
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-				<port id="1" precision="FP32">
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-			<output>
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-					<dim>-1</dim>
-					<dim>2560</dim>
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-			</output>
-		</layer>
-		<layer id="4640" name="Constant_325402_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 2560" offset="3567479170" size="5120" />
+		<layer id="2363" name="Constant_37029_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 2560" offset="2670966072" size="5120" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -70800,7 +36528,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4641" name="Constant_325402" type="Convert" version="opset1">
+		<layer id="2364" name="Constant_37029" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -70820,57 +36548,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4642" name="__module.model.gpt_neox.layers.21.input_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
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-				<port id="1" precision="FP32">
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-					<dim>-1</dim>
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-		</layer>
-		<layer id="4643" name="self.model.gpt_neox.layers.21.attention.query_key_value.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="7680, 2560" offset="3567484290" size="39321600" />
-			<output>
-				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.21.attention.query_key_value.weight">
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-					<dim>2560</dim>
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-			</output>
-		</layer>
-		<layer id="4644" name="self.model.gpt_neox.layers.21.attention.query_key_value.weight" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
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-			<input>
-				<port id="0" precision="FP16">
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-					<dim>2560</dim>
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-					<dim>2560</dim>
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-		<layer id="4645" name="__module.model.gpt_neox.layers.21.attention.query_key_value/aten::linear/MatMul" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="true" />
+		<layer id="2365" name="__module.model.gpt_neox.layers.15.post_attention_layernorm/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -70878,7 +36557,8 @@
 					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>7680</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 					<dim>2560</dim>
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@@ -70886,21 +36566,21 @@
 				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>7680</dim>
+					<dim>2560</dim>
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 			</output>
 		</layer>
-		<layer id="4646" name="Constant_325403_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 7680" offset="3606805890" size="15360" />
+		<layer id="2366" name="Constant_37030_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 2560" offset="2670971192" size="5120" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
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+					<dim>2560</dim>
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 			</output>
 		</layer>
-		<layer id="4647" name="Constant_325403" type="Convert" version="opset1">
+		<layer id="2367" name="Constant_37030" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -70909,855 +36589,713 @@
 				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
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+					<dim>2560</dim>
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 			<output>
 				<port id="1" precision="FP32">
 					<dim>1</dim>
 					<dim>1</dim>
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+					<dim>2560</dim>
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 			</output>
 		</layer>
-		<layer id="4648" name="__module.model.gpt_neox.layers.21.attention.query_key_value/aten::linear/Add" type="Add" version="opset1">
+		<layer id="2368" name="__module.model.gpt_neox.layers.15.post_attention_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
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 				<port id="1" precision="FP32">
 					<dim>1</dim>
 					<dim>1</dim>
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+					<dim>2560</dim>
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3451,qkv.85">
+				<port id="2" precision="FP32" names="2153">
 					<dim>-1</dim>
 					<dim>-1</dim>
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 		</layer>
-		<layer id="4649" name="__module.model.gpt_neox.layers.21.attention/prim::ListConstruct/Concat" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559074" size="32" />
+		<layer id="2369" name="self.model.gpt_neox.layers.15.mlp.dense_h_to_4h.weight" type="Const" version="opset1">
+			<data element_type="f16" shape="10240, 2560" offset="2670976312" size="52428800" />
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+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.15.mlp.dense_h_to_4h.weight">
+					<dim>10240</dim>
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2370" name="__module.model.gpt_neox.layers.15.mlp.dense_h_to_4h/ov_ext::linear/ConvertLike" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="precise" version="0" />
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>10240</dim>
+					<dim>2560</dim>
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 			<output>
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+				<port id="1" precision="FP32">
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+					<dim>2560</dim>
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 		</layer>
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-			<data special_zero="true" />
+		<layer id="2371" name="__module.model.gpt_neox.layers.15.mlp.dense_h_to_4h/ov_ext::linear/MatMul" type="MatMul" version="opset1">
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 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
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 			<output>
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 			<output>
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-		<layer id="4652" name="Constant_301757" type="Const" version="opset1">
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+		<layer id="2373" name="__module.model.gpt_neox.layers.15.mlp.dense_h_to_4h/ov_ext::linear/ConvertLike_1" type="Convert" version="opset1">
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 			<rt_info>
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+		<layer id="2374" name="__module.model.gpt_neox.layers.15.mlp.dense_h_to_4h/ov_ext::linear/Add" type="Add" version="opset1">
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+		<layer id="2412" name="Constant_11011" type="Const" version="opset1">
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@@ -71766,17 +37304,20 @@
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 				</port>
 				<port id="1" precision="I64">
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 			<output>
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+				<port id="5" precision="FP32" names="2213,x2.65">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -71784,8 +37325,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4709" name="Constant_325404_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 1, 1" offset="297887002" size="2" />
+		<layer id="2414" name="Constant_37034_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 1, 1" offset="297559262" size="2" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -71795,7 +37336,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4710" name="Constant_325404" type="Convert" version="opset1">
+		<layer id="2415" name="Constant_37034" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -71817,7 +37358,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4711" name="__module.model.gpt_neox.layers.21.attention/aten::neg/Multiply" type="Multiply" version="opset1">
+		<layer id="2416" name="__module.model.gpt_neox.layers.16.attention/aten::neg/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -71834,7 +37375,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3500">
+				<port id="2" precision="FP32" names="2214">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -71842,30 +37383,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4712" name="Constant_301841" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559106" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2417" name="Constant_10904" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4713" name="Constant_301846" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559170" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2418" name="Constant_10948" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559246" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2419" name="Constant_10950" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4714" name="__module.model.gpt_neox.layers.21.attention/aten::slice/Slice_4" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="2420" name="__module.model.gpt_neox.layers.16.attention/aten::slice/Slice_3" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -71874,17 +37416,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="3494">
+				<port id="5" precision="FP32" names="2208">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -71892,7 +37437,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4715" name="__module.model.gpt_neox.layers.21.attention/aten::cat/Concat" type="Concat" version="opset1">
+		<layer id="2421" name="__module.model.gpt_neox.layers.16.attention/aten::cat/Concat" type="Concat" version="opset1">
 			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
@@ -71909,7 +37454,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3502">
+				<port id="2" precision="FP32" names="2216">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -71917,61 +37462,103 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4716" name="self.model.gpt_neox.layers.21.attention.rotary_emb.sin_cached_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="2048, 80" offset="297887004" size="327680" />
+		<layer id="2422" name="__module.model.gpt_neox.layers.16.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.21.attention.rotary_emb.sin_cached">
-					<dim>2048</dim>
+				<port id="2" precision="FP32" names="2217">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4717" name="self.model.gpt_neox.layers.21.attention.rotary_emb.sin_cached" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
+		<layer id="2423" name="__module.model.gpt_neox.layers.16.attention/aten::add/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="FP16">
-					<dim>2048</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
-					<dim>2048</dim>
+				<port id="2" precision="FP32" names="2218,2236">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4718" name="__module.model.gpt_neox.layers.21.attention.rotary_emb/aten::slice/Unsqueeze_4" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="2" size="8" />
+		<layer id="2424" name="Constant_52486_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="" offset="0" size="2" />
+			<output>
+				<port id="0" precision="FP16" />
+			</output>
+		</layer>
+		<layer id="2425" name="Constant_52486" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="precise" version="0" />
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16" />
+			</input>
+			<output>
+				<port id="1" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="2426" name="Constant_52479" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="10" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4719" name="__module.model.gpt_neox.layers.21.attention.rotary_emb/aten::slice/Unsqueeze_6" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886946" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2427" name="Constant_52481" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4720" name="__module.model.gpt_neox.layers.21.attention.rotary_emb/aten::slice/Slice_1" type="StridedSlice" version="opset1">
-			<data begin_mask="0" end_mask="0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="2428" name="Constant_52483" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="18" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2429" name="Concat_52484" type="Concat" version="opset1">
+			<data axis="0" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>2048</dim>
-					<dim>80</dim>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -71984,59 +37571,55 @@
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="3479,3482,sin.85">
-					<dim>-1</dim>
-					<dim>80</dim>
+				<port id="4" precision="I64">
+					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4721" name="Constant_38356" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="258211866" size="4" />
-			<output>
-				<port id="0" precision="I32" />
-			</output>
-		</layer>
-		<layer id="4722" name="__module.model.gpt_neox.layers.21.attention/aten::index/Gather_1" type="Gather" version="opset8">
-			<data batch_dims="0" />
+		<layer id="2430" name="Broadcast_52487" type="Broadcast" version="opset3">
+			<data mode="numpy" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-				<port id="1" precision="I32">
-					<dim>-1</dim>
-					<dim>-1</dim>
+				<port id="0" precision="FP32" />
+				<port id="1" precision="I64">
+					<dim>4</dim>
 				</port>
-				<port id="2" precision="I32" />
 			</input>
 			<output>
-				<port id="3" precision="FP32" names="3487">
-					<dim>-1</dim>
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>0</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4723" name="__module.model.gpt_neox.layers.21.attention/aten::unsqueeze/Unsqueeze_1" type="Unsqueeze" version="opset1">
+		<layer id="2431" name="ReadValue_49766" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.16.keypresent.16.key" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>0</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3488,sin.87">
+				<port id="1" precision="FP32" names="past_key_values.16.key">
 					<dim>-1</dim>
-					<dim>1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4724" name="__module.model.gpt_neox.layers.21.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="2432" name="Constant_47425" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="2" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="2433" name="Gather_47426" type="Gather" version="opset8">
+			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -72044,15 +37627,13 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>1</dim>
+				<port id="1" precision="I32">
 					<dim>-1</dim>
-					<dim>80</dim>
 				</port>
+				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3503">
+				<port id="3" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -72060,40 +37641,69 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4725" name="__module.model.gpt_neox.layers.21.attention/aten::add/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="2434" name="Constant_10813" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="18" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2435" name="Constant_10815" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559264" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2436" name="Constant_10817" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2437" name="__module.model.gpt_neox.layers.16.attention/aten::slice/Slice_5" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-				<port id="1" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>240</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3504,3522,3532,query.129,query.131">
+				<port id="5" precision="FP32" names="2191">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4726" name="Constant_12437" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559202" size="32" />
+		<layer id="2438" name="Constant_10826" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="297559122" size="32" />
 			<output>
-				<port id="0" precision="I64" names="3460">
+				<port id="0" precision="I64" names="2192">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4727" name="__module.model.gpt_neox.layers.21.attention/aten::permute/Transpose_1" type="Transpose" version="opset1">
+		<layer id="2439" name="__module.model.gpt_neox.layers.16.attention/aten::permute/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -72106,7 +37716,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3461,key.127">
+				<port id="2" precision="FP32" names="2193,key.65">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -72114,41 +37724,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4728" name="Constant_301892" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559106" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2440" name="Constant_10869" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4729" name="Constant_301895" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559138" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2441" name="Constant_10871" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="18" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4730" name="Constant_301898" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559170" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2442" name="Constant_10873" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4731" name="__module.model.gpt_neox.layers.21.attention/aten::slice/Slice_6" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="2443" name="__module.model.gpt_neox.layers.16.attention/aten::slice/Slice_6" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -72157,17 +37757,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="3467,k.43">
+				<port id="5" precision="FP32" names="2199,k.33">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -72175,7 +37778,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4732" name="__module.model.gpt_neox.layers.21.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
+		<layer id="2444" name="__module.model.gpt_neox.layers.16.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -72192,173 +37795,39 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3505">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="4733" name="Constant_301902" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559106" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="4734" name="Constant_301901" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="4735" name="__module.model.gpt_neox.layers.21.attention/aten::size/ShapeOf_7" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
-			<input>
-				<port id="0" precision="FP32">
+				<port id="2" precision="FP32" names="2219">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-			</input>
-			<output>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="4736" name="__module.model.gpt_neox.layers.21.attention/aten::size/Constant_7" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="258211866" size="4" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I32" />
-			</output>
-		</layer>
-		<layer id="4737" name="__module.model.gpt_neox.layers.21.attention/aten::size/Gather_7" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="1" precision="I64" />
-				<port id="2" precision="I32" />
-			</input>
-			<output>
-				<port id="3" precision="I64" names="3506,3511" />
-			</output>
-		</layer>
-		<layer id="4738" name="__module.model.gpt_neox.layers.21.attention/aten::floor_divide/Divide_3" type="Divide" version="opset1">
-			<data auto_broadcast="numpy" m_pythondiv="true" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
-			</input>
-			<output>
-				<port id="2" precision="I64" />
-			</output>
-		</layer>
-		<layer id="4739" name="__module.model.gpt_neox.layers.21.attention/aten::floor_divide/Floor_3" type="Floor" version="opset1">
-			<input>
-				<port id="0" precision="I64" />
-			</input>
-			<output>
-				<port id="1" precision="I64" names="3508,3509,3513,3514" />
-			</output>
-		</layer>
-		<layer id="4740" name="Constant_337798" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886946" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="4741" name="__module.model.gpt_neox.layers.21.attention/aten::slice/Unsqueeze_33" type="Reshape" version="opset1">
-			<data special_zero="false" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="I64">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="4742" name="Constant_301900" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="258211866" size="4" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I32">
-					<dim>1</dim>
-				</port>
 			</output>
-		</layer>
-		<layer id="4743" name="ScatterUpdate_301903" type="ScatterUpdate" version="opset3">
-			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="I32">
-					<dim>1</dim>
-				</port>
-			</input>
+		</layer>
+		<layer id="2445" name="Constant_11150" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559246" size="8" />
 			<output>
-				<port id="4" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4744" name="Constant_301906" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297886970" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2446" name="Constant_11152" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559254" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4745" name="Constant_301909" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559170" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2447" name="Constant_11154" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4746" name="__module.model.gpt_neox.layers.21.attention/aten::slice/Slice_7" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="2448" name="__module.model.gpt_neox.layers.16.attention/aten::slice/Slice_7" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -72367,17 +37836,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="3515,x2.87">
+				<port id="5" precision="FP32" names="2229,x2.67">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -72385,8 +37857,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4747" name="Constant_325405_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 1, 1" offset="297887002" size="2" />
+		<layer id="2449" name="Constant_37035_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 1, 1" offset="297559262" size="2" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -72396,7 +37868,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4748" name="Constant_325405" type="Convert" version="opset1">
+		<layer id="2450" name="Constant_37035" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -72418,7 +37890,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4749" name="__module.model.gpt_neox.layers.21.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
+		<layer id="2451" name="__module.model.gpt_neox.layers.16.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -72435,7 +37907,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3516">
+				<port id="2" precision="FP32" names="2230">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -72443,30 +37915,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4750" name="Constant_301954" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559106" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2452" name="Constant_11047" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4751" name="Constant_301959" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559170" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2453" name="Constant_11091" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559246" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2454" name="Constant_11093" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4752" name="__module.model.gpt_neox.layers.21.attention/aten::slice/Slice_8" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="2455" name="__module.model.gpt_neox.layers.16.attention/aten::slice/Slice_8" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -72475,17 +37948,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="3510">
+				<port id="5" precision="FP32" names="2224">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -72493,7 +37969,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4753" name="__module.model.gpt_neox.layers.21.attention/aten::cat/Concat_2" type="Concat" version="opset1">
+		<layer id="2456" name="__module.model.gpt_neox.layers.16.attention/aten::cat/Concat_2" type="Concat" version="opset1">
 			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
@@ -72510,7 +37986,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3518">
+				<port id="2" precision="FP32" names="2232">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -72518,7 +37994,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4754" name="__module.model.gpt_neox.layers.21.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
+		<layer id="2457" name="__module.model.gpt_neox.layers.16.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -72535,7 +38011,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3519">
+				<port id="2" precision="FP32" names="2233">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -72543,7 +38019,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4755" name="__module.model.gpt_neox.layers.21.attention/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="2458" name="__module.model.gpt_neox.layers.16.attention/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -72560,7 +38036,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3520,3524">
+				<port id="2" precision="FP32" names="2234,2238">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -72568,7 +38044,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4756" name="__module.model.gpt_neox.layers.21.attention/aten::to/Convert_1" type="Concat" version="opset1">
+		<layer id="2459" name="__module.model.gpt_neox.layers.16.attention/aten::cat/Concat_4" type="Concat" version="opset1">
 			<data axis="-2" />
 			<input>
 				<port id="0" precision="FP32">
@@ -72585,7 +38061,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="present.21.key">
+				<port id="2" precision="FP32" names="present.16.key">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -72593,13 +38069,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4757" name="Constant_433197_compressed" type="Const" version="opset1">
+		<layer id="2460" name="Constant_52498_compressed" type="Const" version="opset1">
 			<data element_type="f16" shape="" offset="0" size="2" />
 			<output>
 				<port id="0" precision="FP16" />
 			</output>
 		</layer>
-		<layer id="4758" name="Constant_433197" type="Convert" version="opset1">
+		<layer id="2461" name="Constant_52498" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -72611,7 +38087,7 @@
 				<port id="1" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="4759" name="Constant_433190" type="Const" version="opset1">
+		<layer id="2462" name="Constant_52491" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="10" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -72619,7 +38095,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4760" name="Constant_433192" type="Const" version="opset1">
+		<layer id="2463" name="Constant_52493" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -72627,7 +38103,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4761" name="Constant_433194" type="Const" version="opset1">
+		<layer id="2464" name="Constant_52495" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="18" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -72635,7 +38111,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4762" name="Concat_433195" type="Concat" version="opset1">
+		<layer id="2465" name="Concat_52496" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -72657,7 +38133,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4763" name="Broadcast_433198" type="Broadcast" version="opset3">
+		<layer id="2466" name="Broadcast_52499" type="Broadcast" version="opset3">
 			<data mode="numpy" />
 			<input>
 				<port id="0" precision="FP32" />
@@ -72674,8 +38150,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4764" name="ReadValue_417340" type="ReadValue" version="opset6">
-			<data variable_id="past_key_values.21.valuepresent.21.value" variable_type="f32" variable_shape="?,32,?,80" />
+		<layer id="2467" name="ReadValue_49768" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.16.valuepresent.16.value" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -72685,7 +38161,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="past_key_values.21.value">
+				<port id="1" precision="FP32" names="past_key_values.16.value">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -72693,13 +38169,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4765" name="Constant_402019" type="Const" version="opset1">
+		<layer id="2468" name="Constant_47428" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="4766" name="Gather_402020" type="Gather" version="opset8">
+		<layer id="2469" name="Gather_47429" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
@@ -72722,41 +38198,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4767" name="Constant_302004" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297886914" size="32" />
-			<rt_info>
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@@ -72765,17 +38231,20 @@
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@@ -72783,15 +38252,15 @@
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@@ -72804,7 +38273,7 @@
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@@ -72812,7 +38281,7 @@
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@@ -72829,7 +38298,7 @@
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@@ -72886,302 +38330,22 @@
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-				<port id="1" precision="FP32" />
-				<port id="2" precision="FP32" />
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-			<output>
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-					<dim>-1</dim>
-					<dim>-1</dim>
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-			</output>
-		</layer>
-		<layer id="4808" name="Add_316500" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
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-					<dim>-1</dim>
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-				<port id="1" precision="FP32">
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-			<output>
-				<port id="2" precision="FP32">
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 					<dim>1</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4809" name="ShapeOf_316501" type="ShapeOf" version="opset3">
+		<layer id="2482" name="ShapeOf_39371" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>1</dim>
-					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
@@ -73327,27 +38377,21 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4810" name="Constant_339907" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="2" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2483" name="Constant_39372" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559280" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4811" name="Constant_339908" type="Const" version="opset1">
+		<layer id="2484" name="Constant_39373" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="2" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="4812" name="Gather_339909" type="Gather" version="opset8">
+		<layer id="2485" name="Gather_39374" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -73359,97 +38403,58 @@
 				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="3529">
+				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4813" name="Constant_268171" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886946" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
+		<layer id="2486" name="Add_39375" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="4814" name="Constant_268173" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886946" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="I64">
+				<port id="2" precision="I64" names="2243">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4815" name="Constant_268175" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886946" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2487" name="Constant_11229" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4816" name="__module.model.gpt_neox.layers.21.attention/prim::ListConstruct/Concat_1" type="Concat" version="opset1">
-			<data axis="0" />
+		<layer id="2488" name="__module.model.gpt_neox.layers.16.attention/aten::slice/Slice_14" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64">
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
 					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
 					<dim>1</dim>
-				</port>
-				<port id="3" precision="I64">
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-				</port>
-			</input>
-			<output>
-				<port id="4" precision="I64" names="3546">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="4817" name="Maximum_316502" type="Maximum" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="4818" name="__module.model.gpt_neox.layers.21.attention/aten::add/Add_2" type="Broadcast" version="opset3">
-			<data mode="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
+				</port>
+				<port id="3" precision="I64">
 					<dim>1</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3548">
+				<port id="5" precision="FP32" names="2247">
 					<dim>-1</dim>
 					<dim>1</dim>
 					<dim>-1</dim>
@@ -73457,7 +38462,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4819" name="__module.model.gpt_neox.layers.21.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+		<layer id="2489" name="__module.model.gpt_neox.layers.16.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
 			<data causal="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -73486,7 +38491,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="3549,3550,sdpa_result.43,tensor.85">
+				<port id="4" precision="FP32" names="2248,attn_output.129">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -73494,15 +38499,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4820" name="Constant_12892" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559202" size="32" />
+		<layer id="2490" name="__module.model.gpt_neox.layers.16.attention/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="297559312" size="16" />
 			<output>
-				<port id="0" precision="I64" names="3551">
+				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4821" name="__module.model.gpt_neox.layers.21.attention/aten::permute/Transpose_3" type="Transpose" version="opset1">
+		<layer id="2491" name="__module.model.gpt_neox.layers.16.attention/aten::transpose/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -73510,12 +38515,12 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3552">
+				<port id="2" precision="FP32" names="2249">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
@@ -73523,8 +38528,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4822" name="__module.model.gpt_neox.layers.21.attention/prim::ListConstruct/Concat_2" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="302409066" size="24" />
+		<layer id="2492" name="Constant_40551" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="297559328" size="24" />
 			<rt_info>
 				<attribute name="precise" version="0" />
 			</rt_info>
@@ -73534,7 +38539,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4823" name="__module.model.gpt_neox.layers.21.attention/aten::view/Reshape_1" type="Reshape" version="opset1">
+		<layer id="2493" name="__module.model.gpt_neox.layers.16.attention/aten::view/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -73548,23 +38553,23 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3557">
+				<port id="2" precision="FP32" names="2252">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4824" name="self.model.gpt_neox.layers.21.attention.dense.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="2560, 2560" offset="3606821250" size="13107200" />
+		<layer id="2494" name="self.model.gpt_neox.layers.16.attention.dense.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="2560, 2560" offset="2815206712" size="13107200" />
 			<output>
-				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.21.attention.dense.weight">
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.16.attention.dense.weight">
 					<dim>2560</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4825" name="self.model.gpt_neox.layers.21.attention.dense.weight" type="Convert" version="opset1">
+		<layer id="2495" name="self.model.gpt_neox.layers.16.attention.dense.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -73582,7 +38587,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4826" name="__module.model.gpt_neox.layers.21.attention.dense/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="2496" name="__module.model.gpt_neox.layers.16.attention.dense/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -73603,8 +38608,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4827" name="Constant_325406_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 2560" offset="3619928450" size="5120" />
+		<layer id="2497" name="Constant_37036_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 2560" offset="2828313912" size="5120" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -73613,7 +38618,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4828" name="Constant_325406" type="Convert" version="opset1">
+		<layer id="2498" name="Constant_37036" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -73633,7 +38638,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4829" name="__module.model.gpt_neox.layers.21.attention.dense/aten::linear/Add" type="Add" version="opset1">
+		<layer id="2499" name="__module.model.gpt_neox.layers.16.attention.dense/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -73648,14 +38653,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3560,3562,input.87">
+				<port id="2" precision="FP32" names="2255,2257,input.65">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4830" name="__module.model.gpt_neox.layers.21/aten::add/Add" type="Add" version="opset1">
+		<layer id="2500" name="__module.model.gpt_neox.layers.16/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -73670,14 +38675,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3566,attn_output.87">
+				<port id="2" precision="FP32" names="2261,attn_output.135">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4831" name="__module.model.gpt_neox.layers.21.post_attention_layernorm/aten::layer_norm/Constant" type="Const" version="opset1">
+		<layer id="2501" name="__module.model.gpt_neox.layers.16.post_attention_layernorm/aten::layer_norm/Multiply" type="Const" version="opset1">
 			<data element_type="i32" shape="1" offset="258211870" size="4" />
 			<output>
 				<port id="0" precision="I32">
@@ -73685,7 +38690,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4832" name="__module.model.gpt_neox.layers.21.post_attention_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
+		<layer id="2502" name="__module.model.gpt_neox.layers.16.post_attention_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -73705,8 +38710,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4833" name="Constant_325407_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 2560" offset="3619933570" size="5120" />
+		<layer id="2503" name="Constant_37037_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 2560" offset="2828319032" size="5120" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -73715,7 +38720,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4834" name="Constant_325407" type="Convert" version="opset1">
+		<layer id="2504" name="Constant_37037" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -73735,7 +38740,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4835" name="__module.model.gpt_neox.layers.21.post_attention_layernorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
+		<layer id="2505" name="__module.model.gpt_neox.layers.16.post_attention_layernorm/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -73757,8 +38762,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4836" name="Constant_325408_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 2560" offset="3619938690" size="5120" />
+		<layer id="2506" name="Constant_37038_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 2560" offset="2828324152" size="5120" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -73767,7 +38772,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4837" name="Constant_325408" type="Convert" version="opset1">
+		<layer id="2507" name="Constant_37038" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -73787,7 +38792,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4838" name="__module.model.gpt_neox.layers.21.post_attention_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="2508" name="__module.model.gpt_neox.layers.16.post_attention_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -73802,23 +38807,23 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3570">
+				<port id="2" precision="FP32" names="2265">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4839" name="self.model.gpt_neox.layers.21.mlp.dense_h_to_4h.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="10240, 2560" offset="3619943810" size="52428800" />
+		<layer id="2509" name="self.model.gpt_neox.layers.16.mlp.dense_h_to_4h.weight" type="Const" version="opset1">
+			<data element_type="f16" shape="10240, 2560" offset="2828329272" size="52428800" />
 			<output>
-				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.21.mlp.dense_h_to_4h.weight">
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.16.mlp.dense_h_to_4h.weight">
 					<dim>10240</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4840" name="self.model.gpt_neox.layers.21.mlp.dense_h_to_4h.weight" type="Convert" version="opset1">
+		<layer id="2510" name="__module.model.gpt_neox.layers.16.mlp.dense_h_to_4h/ov_ext::linear/ConvertLike" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -73836,7 +38841,7 @@
 				</port>
 			</output>
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@@ -73857,37 +38862,31 @@
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@@ -73896,20 +38895,18 @@
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@@ -73919,23 +38916,23 @@
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@@ -73953,7 +38950,7 @@
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@@ -73974,37 +38971,31 @@
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@@ -74013,20 +39004,18 @@
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@@ -74041,14 +39030,14 @@
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@@ -74056,7 +39045,7 @@
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 			</output>
 		</layer>
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@@ -74076,8 +39065,8 @@
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@@ -74086,7 +39075,7 @@
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 			</output>
 		</layer>
-		<layer id="4856" name="Constant_325411" type="Convert" version="opset1">
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@@ -74106,7 +39095,7 @@
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-		<layer id="4857" name="__module.model.gpt_neox.layers.22.input_layernorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
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 			<data auto_broadcast="numpy" />
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@@ -74128,727 +39117,221 @@
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-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2541" name="Constant_11429" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4908" name="__module.model.gpt_neox.layers.22.attention.rotary_emb/aten::slice/Slice" type="StridedSlice" version="opset1">
-			<data begin_mask="0" end_mask="0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="2542" name="__module.model.gpt_neox.layers.17.attention/aten::slice/Slice" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
-					<dim>2048</dim>
-					<dim>80</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>240</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -74859,77 +39342,41 @@
 				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
-			</input>
-			<output>
-				<port id="4" precision="FP32" names="3627,3630,cos.89">
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="4909" name="Constant_38359" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="258211866" size="4" />
-			<output>
-				<port id="0" precision="I32" />
-			</output>
-		</layer>
-		<layer id="4910" name="__module.model.gpt_neox.layers.22.attention/aten::index/Gather" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-				<port id="1" precision="I32">
-					<dim>-1</dim>
-					<dim>-1</dim>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
-				<port id="2" precision="I32" />
 			</input>
 			<output>
-				<port id="3" precision="FP32" names="3633">
+				<port id="5" precision="FP32" names="2300">
 					<dim>-1</dim>
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4911" name="__module.model.gpt_neox.layers.22.attention/aten::unsqueeze/Unsqueeze" type="Unsqueeze" version="opset1">
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-				<port id="1" precision="I64" />
-			</input>
+		<layer id="2543" name="Constant_11438" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="297559122" size="32" />
 			<output>
-				<port id="2" precision="FP32" names="3634,cos.91">
-					<dim>-1</dim>
-					<dim>1</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
+				<port id="0" precision="I64" names="2301">
+					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4912" name="__module.model.gpt_neox.layers.22.attention/aten::mul/Multiply" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="2544" name="__module.model.gpt_neox.layers.17.attention/aten::permute/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>1</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
+				<port id="1" precision="I64">
+					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3638">
+				<port id="2" precision="FP32" names="2302,query.35">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -74937,30 +39384,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4913" name="Constant_302140" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559106" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2545" name="Constant_11479" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4914" name="Constant_302139" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886962" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2546" name="Constant_11481" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="18" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4915" name="__module.model.gpt_neox.layers.22.attention/aten::size/ShapeOf_5" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="2547" name="Constant_11483" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2548" name="__module.model.gpt_neox.layers.17.attention/aten::slice/Slice_1" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -74968,134 +39416,78 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-			</input>
-			<output>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="4916" name="__module.model.gpt_neox.layers.22.attention/aten::size/Constant_5" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="258211866" size="4" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I32" />
-			</output>
-		</layer>
-		<layer id="4917" name="__module.model.gpt_neox.layers.22.attention/aten::size/Gather_5" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
-				<port id="1" precision="I64" />
-				<port id="2" precision="I32" />
-			</input>
-			<output>
-				<port id="3" precision="I64" names="3639,3644" />
-			</output>
-		</layer>
-		<layer id="4918" name="__module.model.gpt_neox.layers.22.attention/aten::floor_divide/Divide_1" type="Divide" version="opset1">
-			<data auto_broadcast="numpy" m_pythondiv="true" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
-			</input>
-			<output>
-				<port id="2" precision="I64" />
-			</output>
-		</layer>
-		<layer id="4919" name="__module.model.gpt_neox.layers.22.attention/aten::floor_divide/Floor_1" type="Floor" version="opset1">
-			<input>
-				<port id="0" precision="I64" />
 			</input>
 			<output>
-				<port id="1" precision="I64" names="3641,3642,3646,3647" />
-			</output>
-		</layer>
-		<layer id="4920" name="Constant_337806" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886946" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
+				<port id="5" precision="FP32" names="2309,q.35">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4921" name="__module.model.gpt_neox.layers.22.attention/aten::slice/Unsqueeze_17" type="Reshape" version="opset1">
-			<data special_zero="false" />
+		<layer id="2549" name="__module.model.gpt_neox.layers.17.attention/aten::mul/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
 					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64">
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="2315">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4922" name="Constant_302138" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="258211866" size="4" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2550" name="Constant_11637" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559246" size="8" />
 			<output>
-				<port id="0" precision="I32">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="4923" name="ScatterUpdate_302141" type="ScatterUpdate" version="opset3">
-			<input>
 				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="I32">
 					<dim>1</dim>
 				</port>
-			</input>
-			<output>
-				<port id="4" precision="I64">
-					<dim>4</dim>
-				</port>
 			</output>
 		</layer>
-		<layer id="4924" name="Constant_302144" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297886970" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2551" name="Constant_11639" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559254" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4925" name="Constant_302147" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559170" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2552" name="Constant_11641" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4926" name="__module.model.gpt_neox.layers.22.attention/aten::slice/Slice_3" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="2553" name="__module.model.gpt_neox.layers.17.attention/aten::slice/Slice_2" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -75104,17 +39496,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="3648,x2.89">
+				<port id="5" precision="FP32" names="2325,x2.69">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -75122,8 +39517,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4927" name="Constant_325414_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 1, 1" offset="297887002" size="2" />
+		<layer id="2554" name="Constant_37042_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 1, 1" offset="297559262" size="2" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -75133,7 +39528,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4928" name="Constant_325414" type="Convert" version="opset1">
+		<layer id="2555" name="Constant_37042" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -75155,7 +39550,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4929" name="__module.model.gpt_neox.layers.22.attention/aten::neg/Multiply" type="Multiply" version="opset1">
+		<layer id="2556" name="__module.model.gpt_neox.layers.17.attention/aten::neg/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -75172,7 +39567,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3649">
+				<port id="2" precision="FP32" names="2326">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -75180,30 +39575,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4930" name="Constant_302192" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559106" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2557" name="Constant_11534" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4931" name="Constant_302197" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559170" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2558" name="Constant_11578" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559246" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2559" name="Constant_11580" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4932" name="__module.model.gpt_neox.layers.22.attention/aten::slice/Slice_4" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="2560" name="__module.model.gpt_neox.layers.17.attention/aten::slice/Slice_3" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -75212,17 +39608,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="3643">
+				<port id="5" precision="FP32" names="2320">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -75230,7 +39629,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4933" name="__module.model.gpt_neox.layers.22.attention/aten::cat/Concat" type="Concat" version="opset1">
+		<layer id="2561" name="__module.model.gpt_neox.layers.17.attention/aten::cat/Concat" type="Concat" version="opset1">
 			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
@@ -75247,7 +39646,32 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3651">
+				<port id="2" precision="FP32" names="2328">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2562" name="__module.model.gpt_neox.layers.17.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="2329">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -75255,61 +39679,78 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4934" name="self.model.gpt_neox.layers.22.attention.rotary_emb.sin_cached_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="2048, 80" offset="297887004" size="327680" />
+		<layer id="2563" name="__module.model.gpt_neox.layers.17.attention/aten::add/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.22.attention.rotary_emb.sin_cached">
-					<dim>2048</dim>
+				<port id="2" precision="FP32" names="2330,2348">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4935" name="self.model.gpt_neox.layers.22.attention.rotary_emb.sin_cached" type="Convert" version="opset1">
+		<layer id="2564" name="Constant_52510_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="" offset="0" size="2" />
+			<output>
+				<port id="0" precision="FP16" />
+			</output>
+		</layer>
+		<layer id="2565" name="Constant_52510" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
 			</rt_info>
 			<input>
-				<port id="0" precision="FP16">
-					<dim>2048</dim>
-					<dim>80</dim>
-				</port>
+				<port id="0" precision="FP16" />
 			</input>
 			<output>
-				<port id="1" precision="FP32">
-					<dim>2048</dim>
-					<dim>80</dim>
+				<port id="1" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="2566" name="Constant_52503" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="10" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4936" name="__module.model.gpt_neox.layers.22.attention.rotary_emb/aten::slice/Unsqueeze_4" type="Const" version="opset1">
+		<layer id="2567" name="Constant_52505" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="2" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4937" name="__module.model.gpt_neox.layers.22.attention.rotary_emb/aten::slice/Unsqueeze_6" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886946" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2568" name="Constant_52507" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="18" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4938" name="__module.model.gpt_neox.layers.22.attention.rotary_emb/aten::slice/Slice_1" type="StridedSlice" version="opset1">
-			<data begin_mask="0" end_mask="0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="2569" name="Concat_52508" type="Concat" version="opset1">
+			<data axis="0" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>2048</dim>
-					<dim>80</dim>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -75322,59 +39763,55 @@
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="3628,3631,sin.89">
-					<dim>-1</dim>
-					<dim>80</dim>
+				<port id="4" precision="I64">
+					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4939" name="Constant_38362" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="258211866" size="4" />
-			<output>
-				<port id="0" precision="I32" />
-			</output>
-		</layer>
-		<layer id="4940" name="__module.model.gpt_neox.layers.22.attention/aten::index/Gather_1" type="Gather" version="opset8">
-			<data batch_dims="0" />
+		<layer id="2570" name="Broadcast_52511" type="Broadcast" version="opset3">
+			<data mode="numpy" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-				<port id="1" precision="I32">
-					<dim>-1</dim>
-					<dim>-1</dim>
+				<port id="0" precision="FP32" />
+				<port id="1" precision="I64">
+					<dim>4</dim>
 				</port>
-				<port id="2" precision="I32" />
 			</input>
 			<output>
-				<port id="3" precision="FP32" names="3636">
-					<dim>-1</dim>
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>0</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4941" name="__module.model.gpt_neox.layers.22.attention/aten::unsqueeze/Unsqueeze_1" type="Unsqueeze" version="opset1">
+		<layer id="2571" name="ReadValue_49770" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.17.keypresent.17.key" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>0</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3637,sin.91">
+				<port id="1" precision="FP32" names="past_key_values.17.key">
 					<dim>-1</dim>
-					<dim>1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4942" name="__module.model.gpt_neox.layers.22.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="2572" name="Constant_47431" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="2" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="2573" name="Gather_47432" type="Gather" version="opset8">
+			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -75382,56 +39819,83 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="FP32">
+				<port id="1" precision="I32">
 					<dim>-1</dim>
-					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64" />
+			</input>
+			<output>
+				<port id="3" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-			</input>
+			</output>
+		</layer>
+		<layer id="2574" name="Constant_11443" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="18" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2575" name="Constant_11445" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559264" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2576" name="Constant_11447" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
 			<output>
-				<port id="2" precision="FP32" names="3652">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4943" name="__module.model.gpt_neox.layers.22.attention/aten::add/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="2577" name="__module.model.gpt_neox.layers.17.attention/aten::slice/Slice_5" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-				<port id="1" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>240</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3653,3671,3681,query.135,query.137">
+				<port id="5" precision="FP32" names="2303">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4944" name="Constant_13018" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559202" size="32" />
+		<layer id="2578" name="Constant_11456" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="297559122" size="32" />
 			<output>
-				<port id="0" precision="I64" names="3609">
+				<port id="0" precision="I64" names="2304">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4945" name="__module.model.gpt_neox.layers.22.attention/aten::permute/Transpose_1" type="Transpose" version="opset1">
+		<layer id="2579" name="__module.model.gpt_neox.layers.17.attention/aten::permute/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -75444,7 +39908,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3610,key.133">
+				<port id="2" precision="FP32" names="2305,key.69">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -75452,41 +39916,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4946" name="Constant_302243" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559106" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2580" name="Constant_11499" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4947" name="Constant_302246" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559138" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2581" name="Constant_11501" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="18" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4948" name="Constant_302249" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559170" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2582" name="Constant_11503" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4949" name="__module.model.gpt_neox.layers.22.attention/aten::slice/Slice_6" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="2583" name="__module.model.gpt_neox.layers.17.attention/aten::slice/Slice_6" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -75495,17 +39949,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="3616,k.45">
+				<port id="5" precision="FP32" names="2311,k.35">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -75513,7 +39970,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4950" name="__module.model.gpt_neox.layers.22.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
+		<layer id="2584" name="__module.model.gpt_neox.layers.17.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -75530,7 +39987,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3654">
+				<port id="2" precision="FP32" names="2331">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -75538,165 +39995,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4951" name="Constant_302253" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559106" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="4952" name="Constant_302252" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886962" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2585" name="Constant_11780" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559246" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4953" name="__module.model.gpt_neox.layers.22.attention/aten::size/ShapeOf_7" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="4954" name="__module.model.gpt_neox.layers.22.attention/aten::size/Constant_7" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="258211866" size="4" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I32" />
-			</output>
-		</layer>
-		<layer id="4955" name="__module.model.gpt_neox.layers.22.attention/aten::size/Gather_7" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="1" precision="I64" />
-				<port id="2" precision="I32" />
-			</input>
-			<output>
-				<port id="3" precision="I64" names="3655,3660" />
-			</output>
-		</layer>
-		<layer id="4956" name="__module.model.gpt_neox.layers.22.attention/aten::floor_divide/Divide_3" type="Divide" version="opset1">
-			<data auto_broadcast="numpy" m_pythondiv="true" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
-			</input>
-			<output>
-				<port id="2" precision="I64" />
-			</output>
-		</layer>
-		<layer id="4957" name="__module.model.gpt_neox.layers.22.attention/aten::floor_divide/Floor_3" type="Floor" version="opset1">
-			<input>
-				<port id="0" precision="I64" />
-			</input>
-			<output>
-				<port id="1" precision="I64" names="3657,3658,3662,3663" />
-			</output>
-		</layer>
-		<layer id="4958" name="Constant_337808" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886946" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2586" name="Constant_11782" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559254" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4959" name="__module.model.gpt_neox.layers.22.attention/aten::slice/Unsqueeze_33" type="Reshape" version="opset1">
-			<data special_zero="false" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="I64">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="4960" name="Constant_302251" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="258211866" size="4" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2587" name="Constant_11784" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
 			<output>
-				<port id="0" precision="I32">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="4961" name="ScatterUpdate_302254" type="ScatterUpdate" version="opset3">
-			<input>
 				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="I32">
 					<dim>1</dim>
 				</port>
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-			<output>
-				<port id="4" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="4962" name="Constant_302257" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
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-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="4963" name="Constant_302260" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559170" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
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 			</output>
 		</layer>
-		<layer id="4964" name="__module.model.gpt_neox.layers.22.attention/aten::slice/Slice_7" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="2588" name="__module.model.gpt_neox.layers.17.attention/aten::slice/Slice_7" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -75705,17 +40028,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="3664,x2.91">
+				<port id="5" precision="FP32" names="2341,x2.71">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -75723,8 +40049,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4965" name="Constant_325415_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 1, 1" offset="297887002" size="2" />
+		<layer id="2589" name="Constant_37043_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 1, 1" offset="297559262" size="2" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -75734,7 +40060,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4966" name="Constant_325415" type="Convert" version="opset1">
+		<layer id="2590" name="Constant_37043" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -75756,7 +40082,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4967" name="__module.model.gpt_neox.layers.22.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
+		<layer id="2591" name="__module.model.gpt_neox.layers.17.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -75773,7 +40099,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3665">
+				<port id="2" precision="FP32" names="2342">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -75781,30 +40107,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4968" name="Constant_302305" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559106" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2592" name="Constant_11677" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4969" name="Constant_302310" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559170" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2593" name="Constant_11721" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559246" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2594" name="Constant_11723" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4970" name="__module.model.gpt_neox.layers.22.attention/aten::slice/Slice_8" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="2595" name="__module.model.gpt_neox.layers.17.attention/aten::slice/Slice_8" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -75813,17 +40140,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="3659">
+				<port id="5" precision="FP32" names="2336">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -75831,7 +40161,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4971" name="__module.model.gpt_neox.layers.22.attention/aten::cat/Concat_2" type="Concat" version="opset1">
+		<layer id="2596" name="__module.model.gpt_neox.layers.17.attention/aten::cat/Concat_2" type="Concat" version="opset1">
 			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
@@ -75848,7 +40178,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3667">
+				<port id="2" precision="FP32" names="2344">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -75856,7 +40186,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4972" name="__module.model.gpt_neox.layers.22.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
+		<layer id="2597" name="__module.model.gpt_neox.layers.17.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -75873,7 +40203,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3668">
+				<port id="2" precision="FP32" names="2345">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -75881,7 +40211,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4973" name="__module.model.gpt_neox.layers.22.attention/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="2598" name="__module.model.gpt_neox.layers.17.attention/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -75898,7 +40228,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3669,3673">
+				<port id="2" precision="FP32" names="2346,2350">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -75906,7 +40236,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4974" name="__module.model.gpt_neox.layers.22.attention/aten::to/Convert_1" type="Concat" version="opset1">
+		<layer id="2599" name="__module.model.gpt_neox.layers.17.attention/aten::cat/Concat_4" type="Concat" version="opset1">
 			<data axis="-2" />
 			<input>
 				<port id="0" precision="FP32">
@@ -75923,7 +40253,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="present.22.key">
+				<port id="2" precision="FP32" names="present.17.key">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -75931,13 +40261,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4975" name="Constant_433223_compressed" type="Const" version="opset1">
+		<layer id="2600" name="Constant_52522_compressed" type="Const" version="opset1">
 			<data element_type="f16" shape="" offset="0" size="2" />
 			<output>
 				<port id="0" precision="FP16" />
 			</output>
 		</layer>
-		<layer id="4976" name="Constant_433223" type="Convert" version="opset1">
+		<layer id="2601" name="Constant_52522" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -75949,7 +40279,7 @@
 				<port id="1" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="4977" name="Constant_433216" type="Const" version="opset1">
+		<layer id="2602" name="Constant_52515" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="10" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -75957,7 +40287,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4978" name="Constant_433218" type="Const" version="opset1">
+		<layer id="2603" name="Constant_52517" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -75965,7 +40295,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4979" name="Constant_433220" type="Const" version="opset1">
+		<layer id="2604" name="Constant_52519" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="18" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -75973,7 +40303,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4980" name="Concat_433221" type="Concat" version="opset1">
+		<layer id="2605" name="Concat_52520" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -75995,7 +40325,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4981" name="Broadcast_433224" type="Broadcast" version="opset3">
+		<layer id="2606" name="Broadcast_52523" type="Broadcast" version="opset3">
 			<data mode="numpy" />
 			<input>
 				<port id="0" precision="FP32" />
@@ -76012,18 +40342,348 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4982" name="ReadValue_417344" type="ReadValue" version="opset6">
-			<data variable_id="past_key_values.22.valuepresent.22.value" variable_type="f32" variable_shape="?,32,?,80" />
+		<layer id="2607" name="ReadValue_49772" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.17.valuepresent.17.value" variable_type="f32" variable_shape="?,32,?,80" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>0</dim>
+					<dim>80</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="past_key_values.17.value">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2608" name="Constant_47434" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="2" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="2609" name="Gather_47435" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>-1</dim>
+				</port>
+				<port id="2" precision="I64" />
+			</input>
+			<output>
+				<port id="3" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2610" name="Constant_11461" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559264" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2611" name="Constant_11463" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559254" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2612" name="Constant_11465" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2613" name="__module.model.gpt_neox.layers.17.attention/aten::slice/Slice_10" type="Slice" version="opset8">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>240</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="5" precision="FP32" names="2306">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2614" name="Constant_11474" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="297559122" size="32" />
+			<output>
+				<port id="0" precision="I64" names="2307">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2615" name="__module.model.gpt_neox.layers.17.attention/aten::permute/Transpose_2" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="2308">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2616" name="__module.model.gpt_neox.layers.17.attention/aten::cat/Concat_5" type="Concat" version="opset1">
+			<data axis="-2" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="present.17.value">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2617" name="Constant_11856" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2618" name="ShapeOf_39440" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2619" name="Constant_39441" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559280" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2620" name="Constant_39442" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="2" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="2621" name="Gather_39443" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64" />
+			</input>
+			<output>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2622" name="ShapeOf_39444" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2623" name="Constant_39445" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559280" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2624" name="Constant_39446" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="2" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="2625" name="Gather_39447" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
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+				<port id="2" precision="I64" />
+			</input>
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+		<layer id="2629" name="__module.model.gpt_neox.layers.17.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
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 					<dim>32</dim>
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@@ -76031,14 +40691,15 @@
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 		</layer>
-		<layer id="4983" name="Constant_402025" type="Const" version="opset1">
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+		<layer id="2630" name="__module.model.gpt_neox.layers.17.attention/aten::transpose/Constant" type="Const" version="opset1">
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 		</layer>
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@@ -76047,699 +40708,822 @@
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 				<port id="1" precision="I32">
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+		<layer id="2632" name="Constant_40552" type="Const" version="opset1">
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 				<port id="0" precision="I64">
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 		</layer>
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-				<attribute name="precise" version="0" />
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+		<layer id="2633" name="__module.model.gpt_neox.layers.17.attention/aten::view/Reshape_1" type="Reshape" version="opset1">
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 		</layer>
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+		<layer id="2634" name="self.model.gpt_neox.layers.17.attention.dense.weight_compressed" type="Const" version="opset1">
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+		<layer id="2673" name="__module.model.gpt_neox.layers.18.attention.query_key_value/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
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-				<port id="0" precision="BOOL">
-					<dim>1</dim>
-					<dim>1</dim>
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-				<port id="1" precision="I64">
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-				</port>
-				<port id="2" precision="I64">
-					<dim>4</dim>
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+					<dim>2560</dim>
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-					<dim>4</dim>
+				<port id="1" precision="FP32">
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+					<dim>2560</dim>
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 			<output>
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-					<dim>1</dim>
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 					<dim>-1</dim>
 					<dim>-1</dim>
+					<dim>7680</dim>
 				</port>
 			</output>
 		</layer>
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-			<data element_type="f16" shape="" offset="0" size="2" />
+		<layer id="2674" name="Constant_37049_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 7680" offset="3129897272" size="15360" />
 			<output>
-				<port id="0" precision="FP16" />
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>7680</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="5023" name="__module.model.gpt_neox.layers.22.attention/aten::where/Convert_1" type="Convert" version="opset1">
+		<layer id="2675" name="Constant_37049" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
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-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="BOOL">
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-					<dim>-1</dim>
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-					<dim>-1</dim>
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 			</output>
 		</layer>
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 					<dim>-1</dim>
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-			<input>
-				<port id="0" precision="FP32">
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 					<dim>-1</dim>
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 			</output>
 		</layer>
-		<layer id="5028" name="Constant_339998" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="2" size="8" />
+		<layer id="2677" name="__module.model.gpt_neox.layers.18.attention/prim::ListConstruct" type="Const" version="opset1">
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 				<attribute name="precise" version="0" />
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 				<port id="0" precision="I64">
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+					<dim>4</dim>
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 		</layer>
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-				<port id="0" precision="I64" />
-			</output>
-		</layer>
-		<layer id="5030" name="Gather_340000" type="Gather" version="opset8">
-			<data batch_dims="0" />
+		<layer id="2678" name="__module.model.gpt_neox.layers.18.attention/aten::view/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="FP32">
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+					<dim>-1</dim>
+					<dim>7680</dim>
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 				<port id="1" precision="I64">
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+					<dim>4</dim>
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 			</input>
 			<output>
-				<port id="3" precision="I64" names="3678">
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="2411,qkv.75">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>240</dim>
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 			</output>
 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2679" name="Constant_12055" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2680" name="Constant_12057" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="18" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-			<data element_type="i64" shape="1" offset="297886946" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2681" name="Constant_12059" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-			<data axis="0" />
+		<layer id="2682" name="__module.model.gpt_neox.layers.18.attention/aten::slice/Slice" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64">
-					<dim>1</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>240</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -76750,53 +41534,73 @@
 				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64" names="3695">
-					<dim>4</dim>
+				<port id="5" precision="FP32" names="2412">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5035" name="Maximum_316574" type="Maximum" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-			</input>
+		<layer id="2683" name="Constant_12068" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="297559122" size="32" />
 			<output>
-				<port id="2" precision="I64">
+				<port id="0" precision="I64" names="2413">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5036" name="__module.model.gpt_neox.layers.22.attention/aten::add/Add_2" type="Broadcast" version="opset3">
-			<data mode="numpy" />
+		<layer id="2684" name="__module.model.gpt_neox.layers.18.attention/aten::permute/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>1</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3697">
-					<dim>-1</dim>
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="2414,query.37">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5037" name="__module.model.gpt_neox.layers.22.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
-			<data causal="false" />
+		<layer id="2685" name="Constant_12109" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2686" name="Constant_12111" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="18" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2687" name="Constant_12113" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2688" name="__module.model.gpt_neox.layers.18.attention/aten::slice/Slice_1" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -76804,27 +41608,46 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="FP32">
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="5" precision="FP32" names="2421,q.37">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="2" precision="FP32">
+			</output>
+		</layer>
+		<layer id="2689" name="__module.model.gpt_neox.layers.18.attention/aten::mul/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="3" precision="FP32">
+				<port id="1" precision="FP32">
 					<dim>-1</dim>
 					<dim>1</dim>
 					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="3698,3699,sdpa_result.45,tensor.89">
+				<port id="2" precision="FP32" names="2427">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -76832,599 +41655,604 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5038" name="Constant_13473" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559202" size="32" />
+		<layer id="2690" name="Constant_12267" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559246" size="8" />
 			<output>
-				<port id="0" precision="I64" names="3700">
-					<dim>4</dim>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5039" name="__module.model.gpt_neox.layers.22.attention/aten::permute/Transpose_3" type="Transpose" version="opset1">
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-			</input>
+		<layer id="2691" name="Constant_12269" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559254" size="8" />
 			<output>
-				<port id="2" precision="FP32" names="3701">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>80</dim>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5040" name="__module.model.gpt_neox.layers.22.attention/prim::ListConstruct/Concat_2" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="302409066" size="24" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2692" name="Constant_12271" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>3</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5041" name="__module.model.gpt_neox.layers.22.attention/aten::view/Reshape_1" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="2693" name="__module.model.gpt_neox.layers.18.attention/aten::slice/Slice_2" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
-					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>3</dim>
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3706">
+				<port id="5" precision="FP32" names="2437,x2.73">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>2560</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5042" name="self.model.gpt_neox.layers.22.attention.dense.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="2560, 2560" offset="3764174210" size="13107200" />
+		<layer id="2694" name="Constant_37050_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 1, 1" offset="297559262" size="2" />
 			<output>
-				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.22.attention.dense.weight">
-					<dim>2560</dim>
-					<dim>2560</dim>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5043" name="self.model.gpt_neox.layers.22.attention.dense.weight" type="Convert" version="opset1">
+		<layer id="2695" name="Constant_37050" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
-					<dim>2560</dim>
-					<dim>2560</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP32">
-					<dim>2560</dim>
-					<dim>2560</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5044" name="__module.model.gpt_neox.layers.22.attention.dense/aten::linear/MatMul" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="true" />
+		<layer id="2696" name="__module.model.gpt_neox.layers.18.attention/aten::neg/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>2560</dim>
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 				<port id="0" precision="I64">
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+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5088" name="Constant_302459" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2743" name="Constant_52541" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5089" name="Constant_302462" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2744" name="Constant_52543" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="18" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5090" name="__module.model.gpt_neox.layers.23.attention/aten::slice/Slice" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="2745" name="Concat_52544" type="Concat" version="opset1">
+			<data axis="0" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>240</dim>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="4" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2746" name="Broadcast_52547" type="Broadcast" version="opset3">
+			<data mode="numpy" />
+			<input>
+				<port id="0" precision="FP32" />
+				<port id="1" precision="I64">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="3754">
-					<dim>-1</dim>
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
+					<dim>0</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5091" name="Constant_13585" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559202" size="32" />
+		<layer id="2747" name="ReadValue_49776" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.18.valuepresent.18.value" variable_type="f32" variable_shape="?,32,?,80" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>0</dim>
+					<dim>80</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="I64" names="3755">
-					<dim>4</dim>
+				<port id="1" precision="FP32" names="past_key_values.18.value">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5092" name="__module.model.gpt_neox.layers.23.attention/aten::permute/Transpose" type="Transpose" version="opset1">
+		<layer id="2748" name="Constant_47440" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="2" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="2749" name="Gather_47441" type="Gather" version="opset8">
+			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="I32">
+					<dim>-1</dim>
 				</port>
+				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3756,query.139">
+				<port id="3" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -77740,60 +42582,82 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5093" name="Constant_302468" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559106" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2750" name="Constant_12091" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559264" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2751" name="Constant_12093" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559254" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2752" name="Constant_12095" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2753" name="__module.model.gpt_neox.layers.18.attention/aten::slice/Slice_10" type="Slice" version="opset8">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>240</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="5094" name="Constant_302471" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559138" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="5" precision="FP32" names="2418">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5095" name="Constant_302474" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559170" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2754" name="Constant_12104" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="297559122" size="32" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I64" names="2419">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5096" name="__module.model.gpt_neox.layers.23.attention/aten::slice/Slice_1" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="2755" name="__module.model.gpt_neox.layers.18.attention/aten::permute/Transpose_2" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>4</dim>
 				</port>
-				<port id="2" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="3" precision="I64">
-					<dim>4</dim>
-				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="3763,q.47">
+				<port id="2" precision="FP32" names="2420">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -77801,112 +42665,93 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5097" name="self.model.gpt_neox.layers.23.attention.rotary_emb.cos_cached_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="2048, 80" offset="297559234" size="327680" />
-			<output>
-				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.23.attention.rotary_emb.cos_cached">
-					<dim>2048</dim>
+		<layer id="2756" name="__module.model.gpt_neox.layers.18.attention/aten::cat/Concat_5" type="Concat" version="opset1">
+			<data axis="-2" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="5098" name="self.model.gpt_neox.layers.23.attention.rotary_emb.cos_cached" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
-			<input>
-				<port id="0" precision="FP16">
-					<dim>2048</dim>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
-					<dim>2048</dim>
+				<port id="2" precision="FP32" names="present.18.value">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5099" name="__module.model.gpt_neox.layers.23.attention.rotary_emb/aten::slice/Unsqueeze" type="Const" version="opset1">
+		<layer id="2757" name="Constant_12486" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="2" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5100" name="Constant_302480" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559138" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2758" name="ShapeOf_39513" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="I64">
+				<port id="1" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5101" name="Constant_302483" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297886914" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2759" name="Constant_39514" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559280" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5102" name="Constant_302486" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559170" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2760" name="Constant_39515" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="2" size="8" />
 			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
+				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="5103" name="__module.model.gpt_neox.layers.23.attention/aten::slice/Slice_2" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="2761" name="Gather_39516" type="Gather" version="opset8">
+			<data batch_dims="0" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>240</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="2" precision="I64">
+				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
-				<port id="3" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="I64">
+					<dim>1</dim>
 				</port>
+				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="3757">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>80</dim>
+				<port id="3" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5104" name="ShapeOf_340002" type="ShapeOf" version="opset3">
+		<layer id="2762" name="ShapeOf_39517" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</input>
@@ -77916,27 +42761,21 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5105" name="Constant_341039" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886946" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2763" name="Constant_39518" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559280" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5106" name="Constant_340004" type="Const" version="opset1">
+		<layer id="2764" name="Constant_39519" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="2" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="5107" name="Gather_340005" type="Gather" version="opset8">
+		<layer id="2765" name="Gather_39520" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -77948,58 +42787,42 @@
 				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="3767">
+				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5108" name="Constant_433236_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="" offset="0" size="2" />
-			<output>
-				<port id="0" precision="FP16" />
-			</output>
-		</layer>
-		<layer id="5109" name="Constant_433236" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
+		<layer id="2766" name="Add_39521" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="FP16" />
-			</input>
-			<output>
-				<port id="1" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="5110" name="Constant_433229" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="10" size="8" />
-			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="5111" name="Constant_433231" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="2" size="8" />
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="I64">
+				<port id="2" precision="I64" names="2467">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5112" name="Constant_433233" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="18" size="8" />
+		<layer id="2767" name="Constant_12489" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5113" name="Concat_433234" type="Concat" version="opset1">
-			<data axis="0" />
+		<layer id="2768" name="__module.model.gpt_neox.layers.18.attention/aten::slice/Slice_14" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64">
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
 					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -78010,42 +42833,49 @@
 				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64">
-					<dim>4</dim>
+				<port id="5" precision="FP32" names="2471">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5114" name="Broadcast_433237" type="Broadcast" version="opset3">
-			<data mode="numpy" />
+		<layer id="2769" name="__module.model.gpt_neox.layers.18.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+			<data causal="false" />
 			<input>
-				<port id="0" precision="FP32" />
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
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 				</port>
+				<port id="3" precision="FP32">
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 					<dim>-1</dim>
 					<dim>32</dim>
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@@ -78053,14 +42883,15 @@
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 		</layer>
-		<layer id="5116" name="Constant_402028" type="Const" version="opset1">
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+		<layer id="2770" name="__module.model.gpt_neox.layers.18.attention/aten::transpose/Constant" type="Const" version="opset1">
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+				<port id="0" precision="I32">
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 			</output>
 		</layer>
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 			<input>
 				<port id="0" precision="FP32">
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@@ -78069,409 +42900,618 @@
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 				</port>
 				<port id="1" precision="I32">
-					<dim>-1</dim>
+					<dim>4</dim>
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 			<output>
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+				<port id="2" precision="FP32" names="2473">
 					<dim>-1</dim>
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 					<dim>-1</dim>
+					<dim>32</dim>
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 		</layer>
-		<layer id="5118" name="ShapeOf_340007" type="ShapeOf" version="opset3">
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+		<layer id="2772" name="Constant_40553" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="297559328" size="24" />
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+				<attribute name="precise" version="0" />
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+				<port id="0" precision="I64">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2773" name="__module.model.gpt_neox.layers.18.attention/aten::view/Reshape_1" type="Reshape" version="opset1">
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 				<port id="0" precision="FP32">
 					<dim>-1</dim>
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 					<dim>-1</dim>
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 					<dim>80</dim>
 				</port>
+				<port id="1" precision="I64">
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 		</layer>
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 		</layer>
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+		<layer id="2775" name="self.model.gpt_neox.layers.18.attention.dense.weight" type="Convert" version="opset1">
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 		</layer>
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 			</output>
 		</layer>
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 		</layer>
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+		<layer id="2808" name="Constant_37056_compressed" type="Const" version="opset1">
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 		</layer>
-		<layer id="5146" name="Constant_325424" type="Convert" version="opset1">
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@@ -78480,296 +43520,234 @@
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 		</layer>
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 					<dim>1</dim>
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 					<dim>1</dim>
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+					<dim>-1</dim>
+					<dim>7680</dim>
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-		<layer id="5157" name="Constant_38368" type="Const" version="opset1">
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+		<layer id="2817" name="__module.model.gpt_neox.layers.19.attention/prim::ListConstruct" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="297559074" size="32" />
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+				<port id="0" precision="I64">
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 		</layer>
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 					<dim>-1</dim>
 					<dim>-1</dim>
+					<dim>7680</dim>
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+				<port id="1" precision="I64">
+					<dim>4</dim>
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 			<output>
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 					<dim>-1</dim>
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+					<dim>240</dim>
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 			</output>
 		</layer>
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-					<dim>-1</dim>
-					<dim>80</dim>
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+		<layer id="2819" name="Constant_12685" type="Const" version="opset1">
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-				<port id="2" precision="FP32" names="3786,sin.95">
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 					<dim>1</dim>
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-					<dim>80</dim>
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-				<port id="1" precision="FP32">
-					<dim>-1</dim>
+		<layer id="2820" name="Constant_12687" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="18" size="8" />
+			<output>
+				<port id="0" precision="I64">
 					<dim>1</dim>
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-					<dim>80</dim>
 				</port>
-			</input>
+			</output>
+		</layer>
+		<layer id="2821" name="Constant_12689" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
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-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
+				<port id="0" precision="I64">
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 			</output>
 		</layer>
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-			<data auto_broadcast="numpy" />
+		<layer id="2822" name="__module.model.gpt_neox.layers.19.attention/aten::slice/Slice" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
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 					<dim>-1</dim>
 					<dim>32</dim>
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+					<dim>240</dim>
+				</port>
+				<port id="1" precision="I64">
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+				<port id="2" precision="I64">
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+				<port id="3" precision="I64">
+					<dim>1</dim>
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+				<port id="4" precision="I64">
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 			</input>
 			<output>
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 					<dim>-1</dim>
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 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5162" name="Constant_13599" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559202" size="32" />
+		<layer id="2823" name="Constant_12698" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="297559122" size="32" />
 			<output>
-				<port id="0" precision="I64" names="3758">
+				<port id="0" precision="I64" names="2525">
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 				</port>
 			</output>
 		</layer>
-		<layer id="5163" name="__module.model.gpt_neox.layers.23.attention/aten::permute/Transpose_1" type="Transpose" version="opset1">
+		<layer id="2824" name="__module.model.gpt_neox.layers.19.attention/aten::permute/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -78782,7 +43760,7 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3759,key.139">
+				<port id="2" precision="FP32" names="2526,query.39">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -78790,41 +43768,31 @@
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 			</output>
 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2825" name="Constant_12739" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
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 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
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+		<layer id="2826" name="Constant_12741" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="18" size="8" />
 			<output>
 				<port id="0" precision="I64">
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+					<dim>1</dim>
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 			</output>
 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2827" name="Constant_12743" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="2828" name="__module.model.gpt_neox.layers.19.attention/aten::slice/Slice_1" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -78833,17 +43801,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
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+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
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+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
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+					<dim>1</dim>
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+				<port id="4" precision="I64">
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 				</port>
 			</input>
 			<output>
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+				<port id="5" precision="FP32" names="2533,q.39">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -78851,7 +43822,7 @@
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 			</output>
 		</layer>
-		<layer id="5168" name="__module.model.gpt_neox.layers.23.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
+		<layer id="2829" name="__module.model.gpt_neox.layers.19.attention/aten::mul/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -78868,7 +43839,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3803">
+				<port id="2" precision="FP32" names="2539">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -78876,165 +43847,31 @@
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 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2830" name="Constant_12897" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559246" size="8" />
 			<output>
 				<port id="0" precision="I64">
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 				</port>
 			</output>
 		</layer>
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-				<attribute name="precise" version="0" />
-			</rt_info>
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 				<port id="0" precision="I64">
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 			</output>
 		</layer>
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-				<attribute name="precise" version="0" />
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-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="2833" name="__module.model.gpt_neox.layers.19.attention/aten::slice/Slice_2" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -79043,17 +43880,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
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 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
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+					<dim>1</dim>
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+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
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+				<port id="5" precision="FP32" names="2549,x2.77">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -79061,8 +43901,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5183" name="Constant_325425_compressed" type="Const" version="opset1">
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+		<layer id="2834" name="Constant_37058_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 1, 1" offset="297559262" size="2" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -79072,7 +43912,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5184" name="Constant_325425" type="Convert" version="opset1">
+		<layer id="2835" name="Constant_37058" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -79094,7 +43934,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5185" name="__module.model.gpt_neox.layers.23.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
+		<layer id="2836" name="__module.model.gpt_neox.layers.19.attention/aten::neg/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -79111,7 +43951,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3814">
+				<port id="2" precision="FP32" names="2550">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -79119,30 +43959,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5186" name="Constant_302656" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2837" name="Constant_12794" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5187" name="Constant_302661" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2838" name="Constant_12838" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559246" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2839" name="Constant_12840" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5188" name="__module.model.gpt_neox.layers.23.attention/aten::slice/Slice_8" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="2840" name="__module.model.gpt_neox.layers.19.attention/aten::slice/Slice_3" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -79151,17 +43992,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
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 				</port>
 				<port id="2" precision="I64">
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+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
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+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="3808">
+				<port id="5" precision="FP32" names="2544">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -79169,7 +44013,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5189" name="__module.model.gpt_neox.layers.23.attention/aten::cat/Concat_2" type="Concat" version="opset1">
+		<layer id="2841" name="__module.model.gpt_neox.layers.19.attention/aten::cat/Concat" type="Concat" version="opset1">
 			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
@@ -79186,7 +44030,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3816">
+				<port id="2" precision="FP32" names="2552">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -79194,7 +44038,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5190" name="__module.model.gpt_neox.layers.23.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
+		<layer id="2842" name="__module.model.gpt_neox.layers.19.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -79211,7 +44055,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3817">
+				<port id="2" precision="FP32" names="2553">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -79219,7 +44063,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5191" name="__module.model.gpt_neox.layers.23.attention/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="2843" name="__module.model.gpt_neox.layers.19.attention/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -79236,32 +44080,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3818,3822">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="5192" name="__module.model.gpt_neox.layers.23.attention/aten::to/Convert_1" type="Concat" version="opset1">
-			<data axis="-2" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="present.23.key">
+				<port id="2" precision="FP32" names="2554,2572">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -79269,13 +44088,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5193" name="Constant_433249_compressed" type="Const" version="opset1">
+		<layer id="2844" name="Constant_52558_compressed" type="Const" version="opset1">
 			<data element_type="f16" shape="" offset="0" size="2" />
 			<output>
 				<port id="0" precision="FP16" />
 			</output>
 		</layer>
-		<layer id="5194" name="Constant_433249" type="Convert" version="opset1">
+		<layer id="2845" name="Constant_52558" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -79287,7 +44106,7 @@
 				<port id="1" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="5195" name="Constant_433242" type="Const" version="opset1">
+		<layer id="2846" name="Constant_52551" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="10" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -79295,7 +44114,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5196" name="Constant_433244" type="Const" version="opset1">
+		<layer id="2847" name="Constant_52553" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -79303,7 +44122,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5197" name="Constant_433246" type="Const" version="opset1">
+		<layer id="2848" name="Constant_52555" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="18" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -79311,7 +44130,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5198" name="Concat_433247" type="Concat" version="opset1">
+		<layer id="2849" name="Concat_52556" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -79333,7 +44152,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5199" name="Broadcast_433250" type="Broadcast" version="opset3">
+		<layer id="2850" name="Broadcast_52559" type="Broadcast" version="opset3">
 			<data mode="numpy" />
 			<input>
 				<port id="0" precision="FP32" />
@@ -79350,8 +44169,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5200" name="ReadValue_417348" type="ReadValue" version="opset6">
-			<data variable_id="past_key_values.23.valuepresent.23.value" variable_type="f32" variable_shape="?,32,?,80" />
+		<layer id="2851" name="ReadValue_49778" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.19.keypresent.19.key" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -79361,7 +44180,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="past_key_values.23.value">
+				<port id="1" precision="FP32" names="past_key_values.19.key">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -79369,13 +44188,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5201" name="Constant_402031" type="Const" version="opset1">
+		<layer id="2852" name="Constant_47443" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="5202" name="Gather_402032" type="Gather" version="opset8">
+		<layer id="2853" name="Gather_47444" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
@@ -79398,41 +44217,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5203" name="Constant_302706" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297886914" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2854" name="Constant_12703" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="18" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5204" name="Constant_302709" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297886970" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2855" name="Constant_12705" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559264" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5205" name="Constant_302712" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559170" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2856" name="Constant_12707" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5206" name="__module.model.gpt_neox.layers.23.attention/aten::slice/Slice_10" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="2857" name="__module.model.gpt_neox.layers.19.attention/aten::slice/Slice_5" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -79441,17 +44250,20 @@
 					<dim>240</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="3760">
+				<port id="5" precision="FP32" names="2527">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
@@ -79459,15 +44271,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5207" name="Constant_13613" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559202" size="32" />
+		<layer id="2858" name="Constant_12716" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="297559122" size="32" />
 			<output>
-				<port id="0" precision="I64" names="3761">
+				<port id="0" precision="I64" names="2528">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5208" name="__module.model.gpt_neox.layers.23.attention/aten::permute/Transpose_2" type="Transpose" version="opset1">
+		<layer id="2859" name="__module.model.gpt_neox.layers.19.attention/aten::permute/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -79480,32 +44292,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3762">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="5209" name="__module.model.gpt_neox.layers.23.attention/aten::cat/Concat_5" type="Concat" version="opset1">
-			<data axis="-2" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="present.23.value">
+				<port id="2" precision="FP32" names="2529,key.77">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -79513,41 +44300,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5210" name="__module.model.gpt_neox.layers.23.attention/aten::slice/Slice_11" type="Const" version="opset1">
-			<data element_type="boolean" shape="1, 1, 2048, 2048" offset="298214684" size="4194304" />
+		<layer id="2860" name="Constant_12759" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
-				<port id="0" precision="BOOL" names="3839">
-					<dim>1</dim>
+				<port id="0" precision="I64">
 					<dim>1</dim>
-					<dim>2048</dim>
-					<dim>2048</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5211" name="Constant_302716" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="302408988" size="24" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2861" name="Constant_12761" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="18" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>3</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5212" name="Constant_302715" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886954" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2862" name="Constant_12763" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5213" name="ShapeOf_340012" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="2863" name="__module.model.gpt_neox.layers.19.attention/aten::slice/Slice_6" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -79555,56 +44332,30 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-			</input>
-			<output>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="5214" name="Constant_340013" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="297886954" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I64" />
-			</output>
-		</layer>
-		<layer id="5215" name="Constant_340014" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="2" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I64" />
-			</output>
-		</layer>
-		<layer id="5216" name="Gather_340015" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
-				<port id="1" precision="I64" />
-				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" />
+				<port id="5" precision="FP32" names="2535,k.39">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="5217" name="Add_340016" type="Add" version="opset1">
+		<layer id="2864" name="__module.model.gpt_neox.layers.19.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
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-				<port id="0" precision="I64">
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+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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 		</layer>
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+					<dim>-1</dim>
+					<dim>80</dim>
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@@ -79707,160 +44417,111 @@
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 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
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 				<port id="4" precision="I64">
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+					<dim>32</dim>
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-				<attribute name="precise" version="0" />
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+		<layer id="2869" name="Constant_37059_compressed" type="Const" version="opset1">
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+		<layer id="2870" name="Constant_37059" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
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+		<layer id="2871" name="__module.model.gpt_neox.layers.19.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
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 			<output>
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+				<port id="2" precision="FP32" names="2566">
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 			<output>
 				<port id="0" precision="I64">
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 		</layer>
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-				<attribute name="precise" version="0" />
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+		<layer id="2873" name="Constant_12981" type="Const" version="opset1">
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 				<port id="0" precision="I64">
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-				<attribute name="precise" version="0" />
-			</rt_info>
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+			<data element_type="i64" shape="1" offset="297559106" size="8" />
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 				</port>
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 		</layer>
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 			<input>
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-					<dim>4</dim>
+				<port id="0" precision="FP32">
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+					<dim>-1</dim>
+					<dim>80</dim>
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 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -79868,212 +44529,165 @@
 				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
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 				<port id="4" precision="I64">
-					<dim>4</dim>
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-			<rt_info>
-				<attribute name="precise" version="0" />
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 			<output>
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+				<port id="5" precision="FP32" names="2560">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
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 		</layer>
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-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="2876" name="__module.model.gpt_neox.layers.19.attention/aten::cat/Concat_2" type="Concat" version="opset1">
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 			<input>
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-				<port id="2" precision="I64">
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+					<dim>32</dim>
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 			<output>
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-					<dim>1</dim>
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 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
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 					<dim>-1</dim>
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+				<port id="0" precision="FP16" />
 			</output>
 		</layer>
-		<layer id="5247" name="Constant_340090" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="2" size="8" />
+		<layer id="2881" name="Constant_52570" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="precise" version="0" />
+				<attribute name="decompression" version="0" />
 			</rt_info>
-			<output>
-				<port id="0" precision="I64" />
-			</output>
-		</layer>
-		<layer id="5248" name="Gather_340091" type="Gather" version="opset8">
-			<data batch_dims="0" />
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="I64" />
+				<port id="0" precision="FP16" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="3827">
-					<dim>1</dim>
-				</port>
+				<port id="1" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="5249" name="Constant_268191" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886946" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2882" name="Constant_52563" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="10" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5250" name="Constant_268193" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886946" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2883" name="Constant_52565" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5251" name="Constant_268195" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886946" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2884" name="Constant_52567" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="18" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5252" name="__module.model.gpt_neox.layers.23.attention/prim::ListConstruct/Concat_1" type="Concat" version="opset1">
+		<layer id="2885" name="Concat_52568" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -80090,42 +44704,333 @@
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64" names="3844">
+				<port id="4" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5253" name="Maximum_316646" type="Maximum" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="2886" name="Broadcast_52571" type="Broadcast" version="opset3">
+			<data mode="numpy" />
+			<input>
+				<port id="0" precision="FP32" />
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>0</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2887" name="ReadValue_49780" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.19.valuepresent.19.value" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>0</dim>
+					<dim>80</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="past_key_values.19.value">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2888" name="Constant_47446" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="2" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="2889" name="Gather_47447" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>-1</dim>
+				</port>
+				<port id="2" precision="I64" />
+			</input>
+			<output>
+				<port id="3" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2890" name="Constant_12721" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559264" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2891" name="Constant_12723" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559254" size="8" />
+			<output>
 				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2892" name="Constant_12725" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2893" name="__module.model.gpt_neox.layers.19.attention/aten::slice/Slice_10" type="Slice" version="opset8">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>240</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="5" precision="FP32" names="2530">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2894" name="Constant_12734" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="297559122" size="32" />
+			<output>
+				<port id="0" precision="I64" names="2531">
 					<dim>4</dim>
 				</port>
+			</output>
+		</layer>
+		<layer id="2895" name="__module.model.gpt_neox.layers.19.attention/aten::permute/Transpose_2" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>80</dim>
+				</port>
 				<port id="1" precision="I64">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="FP32" names="2532">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5254" name="__module.model.gpt_neox.layers.23.attention/aten::add/Add_2" type="Broadcast" version="opset3">
-			<data mode="numpy" />
+		<layer id="2896" name="__module.model.gpt_neox.layers.19.attention/aten::cat/Concat_5" type="Concat" version="opset1">
+			<data axis="-2" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="present.19.value">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2897" name="Constant_13116" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2898" name="ShapeOf_39586" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2899" name="Constant_39587" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559280" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2900" name="Constant_39588" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="2" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="2901" name="Gather_39589" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64" />
+			</input>
+			<output>
+				<port id="3" precision="I64">
 					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2902" name="ShapeOf_39590" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
+			</input>
+			<output>
 				<port id="1" precision="I64">
 					<dim>4</dim>
 				</port>
+			</output>
+		</layer>
+		<layer id="2903" name="Constant_39591" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559280" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2904" name="Constant_39592" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="2" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="2905" name="Gather_39593" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64" />
+			</input>
+			<output>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2906" name="Add_39594" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3846">
+				<port id="2" precision="I64" names="2579">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2907" name="Constant_13119" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2908" name="__module.model.gpt_neox.layers.19.attention/aten::slice/Slice_14" type="Slice" version="opset8">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="5" precision="FP32" names="2583">
 					<dim>-1</dim>
 					<dim>1</dim>
 					<dim>-1</dim>
@@ -80133,7 +45038,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5255" name="__module.model.gpt_neox.layers.23.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+		<layer id="2909" name="__module.model.gpt_neox.layers.19.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
 			<data causal="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -80162,7 +45067,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="3847,3848,sdpa_result.47,tensor.93">
+				<port id="4" precision="FP32" names="2584,attn_output.153">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -80170,15 +45075,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5256" name="Constant_14054" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559202" size="32" />
+		<layer id="2910" name="__module.model.gpt_neox.layers.19.attention/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="297559312" size="16" />
 			<output>
-				<port id="0" precision="I64" names="3849">
+				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5257" name="__module.model.gpt_neox.layers.23.attention/aten::permute/Transpose_3" type="Transpose" version="opset1">
+		<layer id="2911" name="__module.model.gpt_neox.layers.19.attention/aten::transpose/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -80186,12 +45091,12 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3850">
+				<port id="2" precision="FP32" names="2585">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
@@ -80199,8 +45104,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5258" name="__module.model.gpt_neox.layers.23.attention/prim::ListConstruct/Concat_2" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="302409066" size="24" />
+		<layer id="2912" name="Constant_40554" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="297559328" size="24" />
 			<rt_info>
 				<attribute name="precise" version="0" />
 			</rt_info>
@@ -80210,7 +45115,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5259" name="__module.model.gpt_neox.layers.23.attention/aten::view/Reshape_1" type="Reshape" version="opset1">
+		<layer id="2913" name="__module.model.gpt_neox.layers.19.attention/aten::view/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -80224,23 +45129,23 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3855">
+				<port id="2" precision="FP32" names="2588">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5260" name="self.model.gpt_neox.layers.23.attention.dense.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="2560, 2560" offset="3921527170" size="13107200" />
+		<layer id="2914" name="self.model.gpt_neox.layers.19.attention.dense.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="2560, 2560" offset="3287265592" size="13107200" />
 			<output>
-				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.23.attention.dense.weight">
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.19.attention.dense.weight">
 					<dim>2560</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5261" name="self.model.gpt_neox.layers.23.attention.dense.weight" type="Convert" version="opset1">
+		<layer id="2915" name="self.model.gpt_neox.layers.19.attention.dense.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -80258,7 +45163,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5262" name="__module.model.gpt_neox.layers.23.attention.dense/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="2916" name="__module.model.gpt_neox.layers.19.attention.dense/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -80279,8 +45184,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5263" name="Constant_325426_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 2560" offset="3934634370" size="5120" />
+		<layer id="2917" name="Constant_37060_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 2560" offset="3300372792" size="5120" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -80289,7 +45194,7 @@
 				</port>
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 		</layer>
-		<layer id="5264" name="Constant_325426" type="Convert" version="opset1">
+		<layer id="2918" name="Constant_37060" type="Convert" version="opset1">
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@@ -80309,7 +45214,7 @@
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-		<layer id="5265" name="__module.model.gpt_neox.layers.23.attention.dense/aten::linear/Add" type="Add" version="opset1">
+		<layer id="2919" name="__module.model.gpt_neox.layers.19.attention.dense/ov_ext::linear/Add" type="Add" version="opset1">
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@@ -80324,14 +45229,14 @@
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+		<layer id="2920" name="__module.model.gpt_neox.layers.19/aten::add/Add" type="Add" version="opset1">
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@@ -80346,14 +45251,14 @@
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-		<layer id="5267" name="__module.model.gpt_neox.layers.23.post_attention_layernorm/aten::layer_norm/Constant" type="Const" version="opset1">
+		<layer id="2921" name="__module.model.gpt_neox.layers.19.post_attention_layernorm/aten::layer_norm/Multiply" type="Const" version="opset1">
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@@ -80361,7 +45266,7 @@
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@@ -80381,8 +45286,8 @@
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-			<data element_type="f16" shape="1, 1, 2560" offset="3934639490" size="5120" />
+		<layer id="2923" name="Constant_37061_compressed" type="Const" version="opset1">
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@@ -80391,7 +45296,7 @@
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 		</layer>
-		<layer id="5270" name="Constant_325427" type="Convert" version="opset1">
+		<layer id="2924" name="Constant_37061" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -80411,7 +45316,7 @@
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-		<layer id="5271" name="__module.model.gpt_neox.layers.23.post_attention_layernorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
+		<layer id="2925" name="__module.model.gpt_neox.layers.19.post_attention_layernorm/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -80433,8 +45338,8 @@
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-		<layer id="5272" name="Constant_325428_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 2560" offset="3934644610" size="5120" />
+		<layer id="2926" name="Constant_37062_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 2560" offset="3300383032" size="5120" />
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 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -80443,7 +45348,7 @@
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 			</output>
 		</layer>
-		<layer id="5273" name="Constant_325428" type="Convert" version="opset1">
+		<layer id="2927" name="Constant_37062" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -80463,7 +45368,7 @@
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-		<layer id="5274" name="__module.model.gpt_neox.layers.23.post_attention_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="2928" name="__module.model.gpt_neox.layers.19.post_attention_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
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@@ -80478,23 +45383,23 @@
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-			<data element_type="f16" shape="10240, 2560" offset="3934649730" size="52428800" />
+		<layer id="2929" name="self.model.gpt_neox.layers.19.mlp.dense_h_to_4h.weight" type="Const" version="opset1">
+			<data element_type="f16" shape="10240, 2560" offset="3300388152" size="52428800" />
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+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.19.mlp.dense_h_to_4h.weight">
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-		<layer id="5276" name="self.model.gpt_neox.layers.23.mlp.dense_h_to_4h.weight" type="Convert" version="opset1">
+		<layer id="2930" name="__module.model.gpt_neox.layers.19.mlp.dense_h_to_4h/ov_ext::linear/ConvertLike" type="Convert" version="opset1">
 			<data destination_type="f32" />
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 				<attribute name="decompression" version="0" />
@@ -80512,7 +45417,7 @@
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-		<layer id="5277" name="__module.model.gpt_neox.layers.23.mlp.dense_h_to_4h/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="2931" name="__module.model.gpt_neox.layers.19.mlp.dense_h_to_4h/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -80533,37 +45438,31 @@
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 			</output>
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-		<layer id="5278" name="Constant_325429_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 10240" offset="3987078530" size="20480" />
+		<layer id="2932" name="self.model.gpt_neox.layers.19.mlp.dense_h_to_4h.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="10240" offset="3352816952" size="20480" />
 			<output>
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-					<dim>1</dim>
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 					<dim>10240</dim>
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 		</layer>
-		<layer id="5279" name="Constant_325429" type="Convert" version="opset1">
+		<layer id="2933" name="__module.model.gpt_neox.layers.19.mlp.dense_h_to_4h/ov_ext::linear/ConvertLike_1" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
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 					<dim>10240</dim>
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 			<output>
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 		</layer>
-		<layer id="5280" name="__module.model.gpt_neox.layers.23.mlp.dense_h_to_4h/aten::linear/Add" type="Add" version="opset1">
+		<layer id="2934" name="__module.model.gpt_neox.layers.19.mlp.dense_h_to_4h/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
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@@ -80572,20 +45471,18 @@
 					<dim>10240</dim>
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 				<port id="1" precision="FP32">
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 					<dim>10240</dim>
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 			<output>
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+				<port id="2" precision="FP32" names="2606">
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 					<dim>-1</dim>
 					<dim>10240</dim>
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-		<layer id="5281" name="__module.model.gpt_neox.layers.23.mlp.act/aten::gelu/Gelu" type="Gelu" version="opset7">
+		<layer id="2935" name="__module.model.gpt_neox.layers.19.mlp.act/aten::gelu/Gelu" type="Gelu" version="opset7">
 			<data approximation_mode="ERF" />
 			<input>
 				<port id="0" precision="FP32">
@@ -80595,23 +45492,23 @@
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 			</input>
 			<output>
-				<port id="1" precision="FP32" names="3874">
+				<port id="1" precision="FP32" names="2607">
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 					<dim>-1</dim>
 					<dim>10240</dim>
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-		<layer id="5282" name="self.model.gpt_neox.layers.23.mlp.dense_4h_to_h.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="2560, 10240" offset="3987099010" size="52428800" />
+		<layer id="2936" name="self.model.gpt_neox.layers.19.mlp.dense_4h_to_h.weight" type="Const" version="opset1">
+			<data element_type="f16" shape="2560, 10240" offset="3352837432" size="52428800" />
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-				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.23.mlp.dense_4h_to_h.weight">
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.19.mlp.dense_4h_to_h.weight">
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 					<dim>10240</dim>
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 		</layer>
-		<layer id="5283" name="self.model.gpt_neox.layers.23.mlp.dense_4h_to_h.weight" type="Convert" version="opset1">
+		<layer id="2937" name="__module.model.gpt_neox.layers.19.mlp.dense_4h_to_h/ov_ext::linear/ConvertLike" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -80629,7 +45526,7 @@
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 		</layer>
-		<layer id="5284" name="__module.model.gpt_neox.layers.23.mlp.dense_4h_to_h/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="2938" name="__module.model.gpt_neox.layers.19.mlp.dense_4h_to_h/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -80650,37 +45547,31 @@
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 			</output>
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-		<layer id="5285" name="Constant_325430_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 2560" offset="4039527810" size="5120" />
+		<layer id="2939" name="self.model.gpt_neox.layers.19.mlp.dense_4h_to_h.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="2560" offset="3405266232" size="5120" />
 			<output>
-				<port id="0" precision="FP16">
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-					<dim>1</dim>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.19.mlp.dense_4h_to_h.bias">
 					<dim>2560</dim>
 				</port>
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 		</layer>
-		<layer id="5286" name="Constant_325430" type="Convert" version="opset1">
+		<layer id="2940" name="__module.model.gpt_neox.layers.19.mlp.dense_4h_to_h/ov_ext::linear/ConvertLike_1" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
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 					<dim>2560</dim>
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 			</input>
 			<output>
 				<port id="1" precision="FP32">
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 		</layer>
-		<layer id="5287" name="__module.model.gpt_neox.layers.23.mlp.dense_4h_to_h/aten::linear/Add" type="Add" version="opset1">
+		<layer id="2941" name="__module.model.gpt_neox.layers.19.mlp.dense_4h_to_h/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -80689,20 +45580,18 @@
 					<dim>2560</dim>
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 				<port id="1" precision="FP32">
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-					<dim>1</dim>
 					<dim>2560</dim>
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 			<output>
-				<port id="2" precision="FP32" names="3877,input.97">
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 					<dim>-1</dim>
 					<dim>2560</dim>
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-		<layer id="5288" name="__module.model.gpt_neox.layers.23/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="2942" name="__module.model.gpt_neox.layers.19/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -80717,14 +45606,14 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3879,3881,hidden_states.49">
+				<port id="2" precision="FP32" names="2612,2614,hidden_states.83">
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 					<dim>-1</dim>
 					<dim>2560</dim>
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-		<layer id="5289" name="__module.model.gpt_neox.layers.24.input_layernorm/aten::layer_norm/Constant" type="Const" version="opset1">
+		<layer id="2943" name="__module.model.gpt_neox.layers.20.input_layernorm/aten::layer_norm/Multiply" type="Const" version="opset1">
 			<data element_type="i32" shape="1" offset="258211870" size="4" />
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 				<port id="0" precision="I32">
@@ -80732,7 +45621,7 @@
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 			</output>
 		</layer>
-		<layer id="5290" name="__module.model.gpt_neox.layers.24.input_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
+		<layer id="2944" name="__module.model.gpt_neox.layers.20.input_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -80752,8 +45641,8 @@
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-		<layer id="5291" name="Constant_325431_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 2560" offset="4039532930" size="5120" />
+		<layer id="2945" name="Constant_37063_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 2560" offset="3405271352" size="5120" />
 			<output>
 				<port id="0" precision="FP16">
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@@ -80762,7 +45651,7 @@
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 			</output>
 		</layer>
-		<layer id="5292" name="Constant_325431" type="Convert" version="opset1">
+		<layer id="2946" name="Constant_37063" type="Convert" version="opset1">
 			<data destination_type="f32" />
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 				<attribute name="decompression" version="0" />
@@ -80782,7 +45671,7 @@
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-		<layer id="5293" name="__module.model.gpt_neox.layers.24.input_layernorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
+		<layer id="2947" name="__module.model.gpt_neox.layers.20.input_layernorm/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -80804,8 +45693,8 @@
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-		<layer id="5294" name="Constant_325432_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 2560" offset="4039538050" size="5120" />
+		<layer id="2948" name="Constant_37064_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 2560" offset="3405276472" size="5120" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -80814,7 +45703,7 @@
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 			</output>
 		</layer>
-		<layer id="5295" name="Constant_325432" type="Convert" version="opset1">
+		<layer id="2949" name="Constant_37064" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -80834,7 +45723,7 @@
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 		</layer>
-		<layer id="5296" name="__module.model.gpt_neox.layers.24.input_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="2950" name="__module.model.gpt_neox.layers.20.input_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -80849,23 +45738,23 @@
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-				<port id="2" precision="FP32" names="3891">
+				<port id="2" precision="FP32" names="2624,hidden_states.81">
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 					<dim>-1</dim>
 					<dim>2560</dim>
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-		<layer id="5297" name="self.model.gpt_neox.layers.24.attention.query_key_value.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="7680, 2560" offset="4039543170" size="39321600" />
+		<layer id="2951" name="self.model.gpt_neox.layers.20.attention.query_key_value.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="7680, 2560" offset="3405281592" size="39321600" />
 			<output>
-				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.24.attention.query_key_value.weight">
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.20.attention.query_key_value.weight">
 					<dim>7680</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5298" name="self.model.gpt_neox.layers.24.attention.query_key_value.weight" type="Convert" version="opset1">
+		<layer id="2952" name="self.model.gpt_neox.layers.20.attention.query_key_value.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -80883,7 +45772,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5299" name="__module.model.gpt_neox.layers.24.attention.query_key_value/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="2953" name="__module.model.gpt_neox.layers.20.attention.query_key_value/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -80904,8 +45793,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5300" name="Constant_325433_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 7680" offset="4078864770" size="15360" />
+		<layer id="2954" name="Constant_37065_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 7680" offset="3444603192" size="15360" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -80914,7 +45803,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5301" name="Constant_325433" type="Convert" version="opset1">
+		<layer id="2955" name="Constant_37065" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -80934,7 +45823,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5302" name="__module.model.gpt_neox.layers.24.attention.query_key_value/aten::linear/Add" type="Add" version="opset1">
+		<layer id="2956" name="__module.model.gpt_neox.layers.20.attention.query_key_value/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -80949,14 +45838,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3898,qkv.97">
+				<port id="2" precision="FP32" names="2631,qkv.81">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>7680</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5303" name="__module.model.gpt_neox.layers.24.attention/prim::ListConstruct/Concat" type="Const" version="opset1">
+		<layer id="2957" name="__module.model.gpt_neox.layers.20.attention/prim::ListConstruct" type="Const" version="opset1">
 			<data element_type="i64" shape="4" offset="297559074" size="32" />
 			<rt_info>
 				<attribute name="precise" version="0" />
@@ -80967,7 +45856,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5304" name="__module.model.gpt_neox.layers.24.attention/aten::view/Reshape" type="Reshape" version="opset1">
+		<layer id="2958" name="__module.model.gpt_neox.layers.20.attention/aten::view/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -80980,7 +45869,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3902,qkv.99">
+				<port id="2" precision="FP32" names="2635,qkv.83">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
@@ -80988,89 +45877,161 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5305" name="Constant_302807" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559106" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2959" name="Constant_13315" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2960" name="Constant_13317" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="18" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2961" name="Constant_13319" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2962" name="__module.model.gpt_neox.layers.20.attention/aten::slice/Slice" type="Slice" version="opset8">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>240</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="5" precision="FP32" names="2636">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2963" name="Constant_13328" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="297559122" size="32" />
+			<output>
+				<port id="0" precision="I64" names="2637">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5306" name="Constant_302810" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559138" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2964" name="__module.model.gpt_neox.layers.20.attention/aten::permute/Transpose" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="2638,query.41">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2965" name="Constant_13369" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2966" name="Constant_13371" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="18" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5307" name="Constant_302813" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559170" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2967" name="Constant_13373" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5308" name="__module.model.gpt_neox.layers.24.attention/aten::slice/Slice" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="2968" name="__module.model.gpt_neox.layers.20.attention/aten::slice/Slice_1" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
-					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>240</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="3903">
-					<dim>-1</dim>
+				<port id="5" precision="FP32" names="2645,q.41">
 					<dim>-1</dim>
 					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5309" name="Constant_14166" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559202" size="32" />
-			<output>
-				<port id="0" precision="I64" names="3904">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="5310" name="__module.model.gpt_neox.layers.24.attention/aten::permute/Transpose" type="Transpose" version="opset1">
+		<layer id="2969" name="__module.model.gpt_neox.layers.20.attention/aten::mul/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3905,query.145">
+				<port id="2" precision="FP32" names="2651">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -81078,41 +46039,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5311" name="Constant_302819" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559106" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2970" name="Constant_13527" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559246" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5312" name="Constant_302822" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559138" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2971" name="Constant_13529" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559254" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5313" name="Constant_302825" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559170" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2972" name="Constant_13531" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5314" name="__module.model.gpt_neox.layers.24.attention/aten::slice/Slice_1" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="2973" name="__module.model.gpt_neox.layers.20.attention/aten::slice/Slice_2" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -81121,183 +46072,221 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="3912,q.49">
+				<port id="5" precision="FP32" names="2661,x2.81">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5315" name="self.model.gpt_neox.layers.24.attention.rotary_emb.cos_cached_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="2048, 80" offset="297559234" size="327680" />
+		<layer id="2974" name="Constant_37066_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 1, 1" offset="297559262" size="2" />
 			<output>
-				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.24.attention.rotary_emb.cos_cached">
-					<dim>2048</dim>
-					<dim>80</dim>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5316" name="self.model.gpt_neox.layers.24.attention.rotary_emb.cos_cached" type="Convert" version="opset1">
+		<layer id="2975" name="Constant_37066" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
-					<dim>2048</dim>
-					<dim>80</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP32">
-					<dim>2048</dim>
-					<dim>80</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5317" name="__module.model.gpt_neox.layers.24.attention.rotary_emb/aten::slice/Unsqueeze" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="2" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I64">
+		<layer id="2976" name="__module.model.gpt_neox.layers.20.attention/aten::neg/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 					<dim>1</dim>
 				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="2662">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="5318" name="Constant_302831" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559138" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2977" name="Constant_13424" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5319" name="Constant_302834" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297886914" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2978" name="Constant_13468" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559246" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5320" name="Constant_302837" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559170" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2979" name="Constant_13470" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5321" name="__module.model.gpt_neox.layers.24.attention/aten::slice/Slice_2" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="2980" name="__module.model.gpt_neox.layers.20.attention/aten::slice/Slice_3" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
-					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>240</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
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+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="3906">
-					<dim>-1</dim>
+				<port id="5" precision="FP32" names="2656">
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>80</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
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+		<layer id="2981" name="__module.model.gpt_neox.layers.20.attention/aten::cat/Concat" type="Concat" version="opset1">
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+					<dim>32</dim>
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+				<port id="1" precision="FP32">
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 					<dim>32</dim>
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+					<dim>-1</dim>
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 			<output>
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+				<port id="2" precision="FP32" names="2664">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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 		</layer>
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-			</rt_info>
-			<output>
-				<port id="0" precision="I64">
+		<layer id="2982" name="__module.model.gpt_neox.layers.20.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
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+					<dim>80</dim>
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+				<port id="1" precision="FP32">
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+					<dim>-1</dim>
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-				<attribute name="precise" version="0" />
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+			</input>
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+				<port id="2" precision="FP32" names="2665">
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+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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 			</output>
 		</layer>
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-			<data batch_dims="0" />
+		<layer id="2983" name="__module.model.gpt_neox.layers.20.attention/aten::add/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
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+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
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+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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-				<port id="3" precision="I64" names="3916">
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="2666,2684">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5326" name="Constant_433262_compressed" type="Const" version="opset1">
+		<layer id="2984" name="Constant_52582_compressed" type="Const" version="opset1">
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 				<port id="0" precision="FP16" />
 			</output>
 		</layer>
-		<layer id="5327" name="Constant_433262" type="Convert" version="opset1">
+		<layer id="2985" name="Constant_52582" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -81309,7 +46298,7 @@
 				<port id="1" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="5328" name="Constant_433255" type="Const" version="opset1">
+		<layer id="2986" name="Constant_52575" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="10" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -81317,7 +46306,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5329" name="Constant_433257" type="Const" version="opset1">
+		<layer id="2987" name="Constant_52577" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -81325,7 +46314,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5330" name="Constant_433259" type="Const" version="opset1">
+		<layer id="2988" name="Constant_52579" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="18" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -81333,7 +46322,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5331" name="Concat_433260" type="Concat" version="opset1">
+		<layer id="2989" name="Concat_52580" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -81355,7 +46344,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5332" name="Broadcast_433263" type="Broadcast" version="opset3">
+		<layer id="2990" name="Broadcast_52583" type="Broadcast" version="opset3">
 			<data mode="numpy" />
 			<input>
 				<port id="0" precision="FP32" />
@@ -81372,8 +46361,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5333" name="ReadValue_417350" type="ReadValue" version="opset6">
-			<data variable_id="past_key_values.24.keypresent.24.key" variable_type="f32" variable_shape="?,32,?,80" />
+		<layer id="2991" name="ReadValue_49786" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.20.keypresent.20.key" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -81383,7 +46372,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="past_key_values.24.key">
+				<port id="1" precision="FP32" names="past_key_values.20.key">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -81391,13 +46380,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5334" name="Constant_402034" type="Const" version="opset1">
+		<layer id="2992" name="Constant_47449" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="5335" name="Gather_402035" type="Gather" version="opset8">
+		<layer id="2993" name="Gather_47450" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
@@ -81420,175 +46409,144 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5336" name="ShapeOf_340098" type="ShapeOf" version="opset3">
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-			<input>
-				<port id="0" precision="FP32">
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-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-			</input>
+		<layer id="2994" name="Constant_13333" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="18" size="8" />
 			<output>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5337" name="Constant_340099" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="297886954" size="8" />
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-			<output>
-				<port id="0" precision="I64" />
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-		<layer id="5338" name="Constant_340100" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="2" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2995" name="Constant_13335" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559264" size="8" />
 			<output>
-				<port id="0" precision="I64" />
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-		</layer>
-		<layer id="5339" name="Gather_340101" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
-				<port id="1" precision="I64" />
-				<port id="2" precision="I64" />
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-			<output>
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 			</output>
 		</layer>
-		<layer id="5340" name="Constant_337824" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2996" name="Constant_13337" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5341" name="Reshape_340953" type="Reshape" version="opset1">
-			<data special_zero="false" />
+		<layer id="2997" name="__module.model.gpt_neox.layers.20.attention/aten::slice/Slice_5" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64" />
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>240</dim>
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 				<port id="1" precision="I64">
 					<dim>1</dim>
 				</port>
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-			<output>
 				<port id="2" precision="I64">
 					<dim>1</dim>
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-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="I64">
+				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="1" precision="I64">
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 				</port>
 			</input>
 			<output>
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-					<dim>1</dim>
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+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2998" name="Constant_13346" type="Const" version="opset1">
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 			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
+				<port id="0" precision="I64" names="2640">
+					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
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-			<data begin_mask="0" end_mask="0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="2999" name="__module.model.gpt_neox.layers.20.attention/aten::permute/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
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+					<dim>-1</dim>
+					<dim>-1</dim>
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 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
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-					<dim>1</dim>
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-				<port id="3" precision="I64">
-					<dim>1</dim>
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 				</port>
 			</input>
 			<output>
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+				<port id="2" precision="FP32" names="2641,key.81">
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+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5345" name="Constant_38371" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="258211866" size="4" />
+		<layer id="3000" name="Constant_13389" type="Const" version="opset1">
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 			<output>
-				<port id="0" precision="I32" />
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 		</layer>
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-					<dim>80</dim>
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-				<port id="1" precision="I32">
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-					<dim>-1</dim>
+		<layer id="3001" name="Constant_13391" type="Const" version="opset1">
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+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
-				<port id="2" precision="I32" />
-			</input>
+			</output>
+		</layer>
+		<layer id="3002" name="Constant_13393" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
 			<output>
-				<port id="3" precision="FP32" names="3931">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5347" name="__module.model.gpt_neox.layers.24.attention/aten::unsqueeze/Unsqueeze" type="Unsqueeze" version="opset1">
+		<layer id="3003" name="__module.model.gpt_neox.layers.20.attention/aten::slice/Slice_6" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64" />
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
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 			</input>
 			<output>
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+				<port id="5" precision="FP32" names="2647,k.41">
 					<dim>-1</dim>
-					<dim>1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5348" name="__module.model.gpt_neox.layers.24.attention/aten::mul/Multiply" type="Multiply" version="opset1">
+		<layer id="3004" name="__module.model.gpt_neox.layers.20.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -81605,7 +46563,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3936">
+				<port id="2" precision="FP32" names="2667">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -81613,30 +46571,31 @@
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 			</output>
 		</layer>
-		<layer id="5349" name="Constant_302842" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3005" name="Constant_13670" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559246" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3006" name="Constant_13672" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559254" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-			<data output_type="i64" />
+		<layer id="3007" name="Constant_13674" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3008" name="__module.model.gpt_neox.layers.20.attention/aten::slice/Slice_7" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -81644,134 +46603,111 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-			</input>
-			<output>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
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-		<layer id="5352" name="__module.model.gpt_neox.layers.24.attention/aten::size/Constant_5" type="Const" version="opset1">
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-		<layer id="5353" name="__module.model.gpt_neox.layers.24.attention/aten::size/Gather_5" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="I64">
+					<dim>1</dim>
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+				<port id="3" precision="I64">
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+				<port id="4" precision="I64">
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 			</input>
 			<output>
-				<port id="1" precision="I64" names="3939,3940,3944,3945" />
+				<port id="5" precision="FP32" names="2677,x2.83">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="5356" name="Constant_337826" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3009" name="Constant_37067_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 1, 1" offset="297559262" size="2" />
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+					<dim>1</dim>
+					<dim>1</dim>
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 		</layer>
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-			<data special_zero="false" />
+		<layer id="3010" name="Constant_37067" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
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-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
+				<port id="0" precision="FP16">
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+					<dim>1</dim>
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 			</input>
 			<output>
-				<port id="2" precision="I64">
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
 					<dim>1</dim>
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-		<layer id="5358" name="Constant_302840" type="Const" version="opset1">
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 				</port>
 			</output>
 		</layer>
-		<layer id="5359" name="ScatterUpdate_302843" type="ScatterUpdate" version="opset3">
+		<layer id="3011" name="__module.model.gpt_neox.layers.20.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
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+				<port id="1" precision="FP32">
+					<dim>1</dim>
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 					<dim>1</dim>
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 				</port>
 			</input>
 			<output>
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-					<dim>4</dim>
+				<port id="2" precision="FP32" names="2678">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
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 			</output>
 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3012" name="Constant_13567" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5361" name="Constant_302849" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3013" name="Constant_13611" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559246" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3014" name="Constant_13613" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5362" name="__module.model.gpt_neox.layers.24.attention/aten::slice/Slice_3" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="3015" name="__module.model.gpt_neox.layers.20.attention/aten::slice/Slice_8" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -81780,17 +46716,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="3946,x2.97">
+				<port id="5" precision="FP32" names="2672">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -81798,88 +46737,58 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5363" name="Constant_325434_compressed" type="Const" version="opset1">
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-		<layer id="5364" name="Constant_325434" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
+		<layer id="3016" name="__module.model.gpt_neox.layers.20.attention/aten::cat/Concat_2" type="Concat" version="opset1">
+			<data axis="-1" />
 			<input>
-				<port id="0" precision="FP16">
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-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</input>
 			<output>
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-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="2680">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5365" name="__module.model.gpt_neox.layers.24.attention/aten::neg/Multiply" type="Multiply" version="opset1">
+		<layer id="3017" name="__module.model.gpt_neox.layers.20.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>40</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="FP32">
+					<dim>-1</dim>
 					<dim>1</dim>
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-					<dim>1</dim>
-					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3947">
+				<port id="2" precision="FP32" names="2681">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>40</dim>
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-			</output>
-		</layer>
-		<layer id="5366" name="Constant_302894" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559106" size="32" />
-			<rt_info>
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-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="5367" name="Constant_302899" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559170" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5368" name="__module.model.gpt_neox.layers.24.attention/aten::slice/Slice_4" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="3018" name="__module.model.gpt_neox.layers.20.attention/aten::add/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -81887,43 +46796,40 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="2" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="3" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="3941">
+				<port id="2" precision="FP32" names="2682,2686">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>40</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5369" name="__module.model.gpt_neox.layers.24.attention/aten::cat/Concat" type="Concat" version="opset1">
-			<data axis="-1" />
+		<layer id="3019" name="__module.model.gpt_neox.layers.20.attention/aten::cat/Concat_4" type="Concat" version="opset1">
+			<data axis="-2" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>40</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>40</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3949">
+				<port id="2" precision="FP32" names="present.20.key">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -81931,61 +46837,53 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5370" name="self.model.gpt_neox.layers.24.attention.rotary_emb.sin_cached_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="2048, 80" offset="297887004" size="327680" />
+		<layer id="3020" name="Constant_52594_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="" offset="0" size="2" />
 			<output>
-				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.24.attention.rotary_emb.sin_cached">
-					<dim>2048</dim>
-					<dim>80</dim>
-				</port>
+				<port id="0" precision="FP16" />
 			</output>
 		</layer>
-		<layer id="5371" name="self.model.gpt_neox.layers.24.attention.rotary_emb.sin_cached" type="Convert" version="opset1">
+		<layer id="3021" name="Constant_52594" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
 			</rt_info>
 			<input>
-				<port id="0" precision="FP16">
-					<dim>2048</dim>
-					<dim>80</dim>
-				</port>
+				<port id="0" precision="FP16" />
 			</input>
 			<output>
-				<port id="1" precision="FP32">
-					<dim>2048</dim>
-					<dim>80</dim>
+				<port id="1" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="3022" name="Constant_52587" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="10" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5372" name="__module.model.gpt_neox.layers.24.attention.rotary_emb/aten::slice/Unsqueeze_4" type="Const" version="opset1">
+		<layer id="3023" name="Constant_52589" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="2" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5373" name="__module.model.gpt_neox.layers.24.attention.rotary_emb/aten::slice/Unsqueeze_6" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886946" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3024" name="Constant_52591" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="18" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5374" name="__module.model.gpt_neox.layers.24.attention.rotary_emb/aten::slice/Slice_1" type="StridedSlice" version="opset1">
-			<data begin_mask="0" end_mask="0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="3025" name="Concat_52592" type="Concat" version="opset1">
+			<data axis="0" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>2048</dim>
-					<dim>80</dim>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -81998,75 +46896,152 @@
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="3926,3929,sin.97">
+				<port id="4" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3026" name="Broadcast_52595" type="Broadcast" version="opset3">
+			<data mode="numpy" />
+			<input>
+				<port id="0" precision="FP32" />
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>0</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5375" name="Constant_38374" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="258211866" size="4" />
+		<layer id="3027" name="ReadValue_49788" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.20.valuepresent.20.value" variable_type="f32" variable_shape="?,32,?,80" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>0</dim>
+					<dim>80</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="I32" />
+				<port id="1" precision="FP32" names="past_key_values.20.value">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3028" name="Constant_47452" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="2" size="8" />
+			<output>
+				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="5376" name="__module.model.gpt_neox.layers.24.attention/aten::index/Gather_1" type="Gather" version="opset8">
+		<layer id="3029" name="Gather_47453" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I32">
 					<dim>-1</dim>
-					<dim>-1</dim>
 				</port>
-				<port id="2" precision="I32" />
+				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="FP32" names="3934">
+				<port id="3" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5377" name="__module.model.gpt_neox.layers.24.attention/aten::unsqueeze/Unsqueeze_1" type="Unsqueeze" version="opset1">
+		<layer id="3030" name="Constant_13351" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559264" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3031" name="Constant_13353" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559254" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3032" name="Constant_13355" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3033" name="__module.model.gpt_neox.layers.20.attention/aten::slice/Slice_10" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>32</dim>
+					<dim>240</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
-				<port id="1" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3935,sin.99">
+				<port id="5" precision="FP32" names="2642">
 					<dim>-1</dim>
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 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5378" name="__module.model.gpt_neox.layers.24.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="3034" name="Constant_13364" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="297559122" size="32" />
+			<output>
+				<port id="0" precision="I64" names="2643">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3035" name="__module.model.gpt_neox.layers.20.attention/aten::permute/Transpose_2" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>1</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
+				<port id="1" precision="I64">
+					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3950">
+				<port id="2" precision="FP32" names="2644">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -82074,8 +47049,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5379" name="__module.model.gpt_neox.layers.24.attention/aten::add/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="3036" name="__module.model.gpt_neox.layers.20.attention/aten::cat/Concat_5" type="Concat" version="opset1">
+			<data axis="-2" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -82091,7 +47066,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3951,3969,3979,query.147,query.149">
+				<port id="2" precision="FP32" names="present.20.value">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -82099,98 +47074,164 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5380" name="Constant_14180" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559202" size="32" />
+		<layer id="3037" name="Constant_13746" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
-				<port id="0" precision="I64" names="3907">
-					<dim>4</dim>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5381" name="__module.model.gpt_neox.layers.24.attention/aten::permute/Transpose_1" type="Transpose" version="opset1">
+		<layer id="3038" name="ShapeOf_39659" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
+			</input>
+			<output>
 				<port id="1" precision="I64">
 					<dim>4</dim>
 				</port>
+			</output>
+		</layer>
+		<layer id="3039" name="Constant_39660" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559280" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3040" name="Constant_39661" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="2" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="3041" name="Gather_39662" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3908,key.145">
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3042" name="ShapeOf_39663" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="5382" name="Constant_302945" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559106" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3043" name="Constant_39664" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559280" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5383" name="Constant_302948" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559138" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3044" name="Constant_39665" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="2" size="8" />
 			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="3045" name="Gather_39666" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64" />
+			</input>
+			<output>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="5384" name="Constant_302951" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559170" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3046" name="Add_39667" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="I64" names="2691">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3047" name="Constant_13749" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5385" name="__module.model.gpt_neox.layers.24.attention/aten::slice/Slice_6" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="3048" name="__module.model.gpt_neox.layers.20.attention/aten::slice/Slice_14" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>32</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="3914,k.49">
+				<port id="5" precision="FP32" names="2695">
+					<dim>-1</dim>
+					<dim>1</dim>
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5386" name="__module.model.gpt_neox.layers.24.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="3049" name="__module.model.gpt_neox.layers.20.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+			<data causal="false" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -82200,13 +47241,25 @@
 				</port>
 				<port id="1" precision="FP32">
 					<dim>-1</dim>
-					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
+				<port id="3" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3952">
+				<port id="4" precision="FP32" names="2696,attn_output.161">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -82214,203 +47267,280 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5387" name="Constant_302955" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559106" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3050" name="__module.model.gpt_neox.layers.20.attention/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="297559312" size="16" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3051" name="__module.model.gpt_neox.layers.20.attention/aten::transpose/Transpose" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="2697">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>80</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="5388" name="Constant_302954" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886962" size="8" />
+		<layer id="3052" name="Constant_40555" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="297559328" size="24" />
 			<rt_info>
 				<attribute name="precise" version="0" />
 			</rt_info>
 			<output>
 				<port id="0" precision="I64">
-					<dim>1</dim>
+					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5389" name="__module.model.gpt_neox.layers.24.attention/aten::size/ShapeOf_7" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="3053" name="__module.model.gpt_neox.layers.20.attention/aten::view/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>80</dim>
 				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="FP32" names="2700">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5390" name="__module.model.gpt_neox.layers.24.attention/aten::size/Constant_7" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="258211866" size="4" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3054" name="self.model.gpt_neox.layers.20.attention.dense.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="2560, 2560" offset="3444618552" size="13107200" />
 			<output>
-				<port id="0" precision="I32" />
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.20.attention.dense.weight">
+					<dim>2560</dim>
+					<dim>2560</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="5391" name="__module.model.gpt_neox.layers.24.attention/aten::size/Gather_7" type="Gather" version="opset8">
-			<data batch_dims="0" />
+		<layer id="3055" name="self.model.gpt_neox.layers.20.attention.dense.weight" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="FP16">
+					<dim>2560</dim>
+					<dim>2560</dim>
 				</port>
-				<port id="1" precision="I64" />
-				<port id="2" precision="I32" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="3953,3958" />
+				<port id="1" precision="FP32">
+					<dim>2560</dim>
+					<dim>2560</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="5392" name="__module.model.gpt_neox.layers.24.attention/aten::floor_divide/Divide_3" type="Divide" version="opset1">
-			<data auto_broadcast="numpy" m_pythondiv="true" />
+		<layer id="3056" name="__module.model.gpt_neox.layers.20.attention.dense/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
 			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
+				<port id="0" precision="FP32">
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+					<dim>-1</dim>
+					<dim>2560</dim>
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+				<port id="1" precision="FP32">
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+					<dim>2560</dim>
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 			</input>
 			<output>
-				<port id="2" precision="I64" />
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>2560</dim>
+				</port>
 			</output>
 		</layer>
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-			<input>
-				<port id="0" precision="I64" />
-			</input>
+		<layer id="3057" name="Constant_37068_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 2560" offset="3457725752" size="5120" />
 			<output>
-				<port id="1" precision="I64" names="3955,3956,3960,3961" />
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>2560</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="5394" name="Constant_337828" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886946" size="8" />
+		<layer id="3058" name="Constant_37068" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="precise" version="0" />
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
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+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>2560</dim>
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 			<output>
-				<port id="0" precision="I64">
+				<port id="1" precision="FP32">
+					<dim>1</dim>
 					<dim>1</dim>
+					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
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-			<data special_zero="false" />
+		<layer id="3059" name="__module.model.gpt_neox.layers.20.attention.dense/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
+				<port id="0" precision="FP32">
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+					<dim>-1</dim>
+					<dim>2560</dim>
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+				<port id="1" precision="FP32">
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 					<dim>1</dim>
+					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
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-					<dim>1</dim>
+				<port id="2" precision="FP32" names="2703,2705,input.81">
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+					<dim>-1</dim>
+					<dim>2560</dim>
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 		</layer>
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+		<layer id="3066" name="Constant_37070_compressed" type="Const" version="opset1">
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+		<layer id="3070" name="__module.model.gpt_neox.layers.20.mlp.dense_h_to_4h/ov_ext::linear/ConvertLike" type="Convert" version="opset1">
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 		</layer>
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+		<layer id="3105" name="Constant_13999" type="Const" version="opset1">
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+		<layer id="3106" name="Constant_14001" type="Const" version="opset1">
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 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3107" name="Constant_14003" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
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 		</layer>
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+		<layer id="3108" name="__module.model.gpt_neox.layers.21.attention/aten::slice/Slice_1" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64">
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+					<dim>80</dim>
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@@ -83045,56 +48190,78 @@
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 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
+				<port id="3" precision="I64">
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+				<port id="5" precision="FP32" names="2757,q.43">
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+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3109" name="__module.model.gpt_neox.layers.21.attention/aten::mul/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
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+					<dim>80</dim>
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 			<output>
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+				<port id="2" precision="FP32" names="2763">
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+					<dim>32</dim>
+					<dim>-1</dim>
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 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3110" name="Constant_14157" type="Const" version="opset1">
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 		</layer>
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-			<data special_zero="false" />
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-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
+		<layer id="3111" name="Constant_14159" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559254" size="8" />
+			<output>
+				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
-			</input>
+			</output>
+		</layer>
+		<layer id="3112" name="Constant_14161" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
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 				</port>
 			</output>
 		</layer>
-		<layer id="5448" name="ScatterUpdate_303070" type="ScatterUpdate" version="opset3">
+		<layer id="3113" name="__module.model.gpt_neox.layers.21.attention/aten::slice/Slice_2" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64">
-					<dim>3</dim>
+				<port id="0" precision="FP32">
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 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -83102,103 +48269,111 @@
 				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
+				<port id="3" precision="I64">
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 			</input>
 			<output>
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-					<dim>3</dim>
+				<port id="5" precision="FP32" names="2773,x2.85">
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+					<dim>32</dim>
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 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
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+		<layer id="3114" name="Constant_37074_compressed" type="Const" version="opset1">
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 		</layer>
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-			<data begin_mask="1, 1, 0" end_mask="1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="3115" name="Constant_37074" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
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 			</input>
 			<output>
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 		</layer>
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+		<layer id="3116" name="__module.model.gpt_neox.layers.21.attention/aten::neg/Multiply" type="Multiply" version="opset1">
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 			<output>
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 		</layer>
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 				<port id="0" precision="I64">
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 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3118" name="Constant_14098" type="Const" version="opset1">
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-				<attribute name="precise" version="0" />
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+		<layer id="3119" name="Constant_14100" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
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 				</port>
 			</output>
 		</layer>
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 			<input>
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-					<dim>4</dim>
+				<port id="0" precision="FP32">
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+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -83206,212 +48381,140 @@
 				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
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 			</input>
 			<output>
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-					<dim>1</dim>
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 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
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 		</layer>
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-				<attribute name="precise" version="0" />
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+		<layer id="3126" name="Constant_52599" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="10" size="8" />
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 				<port id="0" precision="I64">
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 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
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+		<layer id="3127" name="Constant_52601" type="Const" version="opset1">
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 				<port id="0" precision="I64">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3128" name="Constant_52603" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="18" size="8" />
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 				<port id="0" precision="I64">
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 		</layer>
-		<layer id="5470" name="__module.model.gpt_neox.layers.24.attention/prim::ListConstruct/Concat_1" type="Concat" version="opset1">
+		<layer id="3129" name="Concat_52604" type="Concat" version="opset1">
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 			<input>
 				<port id="0" precision="I64">
@@ -83428,51 +48531,55 @@
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64" names="3993">
+				<port id="4" precision="I64">
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 			</output>
 		</layer>
-		<layer id="5471" name="Maximum_316718" type="Maximum" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="3130" name="Broadcast_52607" type="Broadcast" version="opset3">
+			<data mode="numpy" />
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
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+				<port id="0" precision="FP32" />
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+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
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+					<dim>80</dim>
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 		</layer>
-		<layer id="5472" name="__module.model.gpt_neox.layers.24.attention/aten::add/Add_2" type="Broadcast" version="opset3">
-			<data mode="numpy" />
+		<layer id="3131" name="ReadValue_49790" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.21.keypresent.21.key" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
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-					<dim>-1</dim>
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-				<port id="1" precision="I64">
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+					<dim>0</dim>
+					<dim>80</dim>
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 			</input>
 			<output>
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-					<dim>1</dim>
+				<port id="1" precision="FP32" names="past_key_values.21.key">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
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-			<data causal="false" />
+		<layer id="3132" name="Constant_47455" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="2" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="3133" name="Gather_47456" type="Gather" version="opset8">
+			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -83480,56 +48587,67 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
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 					<dim>-1</dim>
-					<dim>80</dim>
 				</port>
-				<port id="2" precision="FP32">
+				<port id="2" precision="I64" />
+			</input>
+			<output>
+				<port id="3" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="3" precision="FP32">
-					<dim>-1</dim>
+			</output>
+		</layer>
+		<layer id="3134" name="Constant_13963" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="18" size="8" />
+			<output>
+				<port id="0" precision="I64">
 					<dim>1</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
 				</port>
-			</input>
+			</output>
+		</layer>
+		<layer id="3135" name="Constant_13965" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559264" size="8" />
 			<output>
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-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5474" name="Constant_14635" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559202" size="32" />
+		<layer id="3136" name="Constant_13967" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
 			<output>
-				<port id="0" precision="I64" names="3998">
-					<dim>4</dim>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5475" name="__module.model.gpt_neox.layers.24.attention/aten::permute/Transpose_3" type="Transpose" version="opset1">
+		<layer id="3137" name="__module.model.gpt_neox.layers.21.attention/aten::slice/Slice_5" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
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 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>32</dim>
+					<dim>240</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
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+				<port id="5" precision="FP32" names="2751">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
@@ -83537,19 +48655,15 @@
 				</port>
 			</output>
 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3138" name="Constant_13976" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="297559122" size="32" />
 			<output>
-				<port id="0" precision="I64">
-					<dim>3</dim>
+				<port id="0" precision="I64" names="2752">
+					<dim>4</dim>
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 			</output>
 		</layer>
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-			<data special_zero="true" />
+		<layer id="3139" name="__module.model.gpt_neox.layers.21.attention/aten::permute/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -83558,178 +48672,163 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>3</dim>
+					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4004">
+				<port id="2" precision="FP32" names="2753,key.85">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
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+					<dim>80</dim>
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 			</output>
 		</layer>
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-			<data element_type="f16" shape="2560, 2560" offset="4078880130" size="13107200" />
+		<layer id="3140" name="Constant_14019" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
-				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.24.attention.dense.weight">
-					<dim>2560</dim>
-					<dim>2560</dim>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5479" name="self.model.gpt_neox.layers.24.attention.dense.weight" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
-			<input>
-				<port id="0" precision="FP16">
-					<dim>2560</dim>
-					<dim>2560</dim>
+		<layer id="3141" name="Constant_14021" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="18" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
-			</input>
+			</output>
+		</layer>
+		<layer id="3142" name="Constant_14023" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
 			<output>
-				<port id="1" precision="FP32">
-					<dim>2560</dim>
-					<dim>2560</dim>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-			<data transpose_a="false" transpose_b="true" />
+		<layer id="3143" name="__module.model.gpt_neox.layers.21.attention/aten::slice/Slice_6" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
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-				<port id="1" precision="FP32">
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-					<dim>2560</dim>
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-			<output>
-				<port id="2" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>2560</dim>
+					<dim>80</dim>
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-		</layer>
-		<layer id="5481" name="Constant_325436_compressed" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="FP16">
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 					<dim>1</dim>
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+				<port id="2" precision="I64">
 					<dim>1</dim>
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-		<layer id="5482" name="Constant_325436" type="Convert" version="opset1">
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-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
-			<input>
-				<port id="0" precision="FP16">
+				<port id="3" precision="I64">
 					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
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 			<output>
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-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>2560</dim>
+				<port id="5" precision="FP32" names="2759,k.43">
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+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
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+		<layer id="3144" name="__module.model.gpt_neox.layers.21.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
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+					<dim>80</dim>
 				</port>
 				<port id="1" precision="FP32">
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 					<dim>1</dim>
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+					<dim>-1</dim>
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 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4007,4009,input.99">
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 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
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+					<dim>80</dim>
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 			</output>
 		</layer>
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-				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>2560</dim>
+		<layer id="3145" name="Constant_14300" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559246" size="8" />
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+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
-			</input>
+			</output>
+		</layer>
+		<layer id="3146" name="Constant_14302" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559254" size="8" />
 			<output>
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-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>2560</dim>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-			<data element_type="i32" shape="1" offset="258211870" size="4" />
+		<layer id="3147" name="Constant_14304" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
 			<output>
-				<port id="0" precision="I32">
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 				</port>
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 		</layer>
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-			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+		<layer id="3148" name="__module.model.gpt_neox.layers.21.attention/aten::slice/Slice_7" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
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 					<dim>-1</dim>
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+					<dim>80</dim>
 				</port>
-				<port id="1" precision="I32">
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
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+				<port id="3" precision="I64">
+					<dim>1</dim>
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+				<port id="4" precision="I64">
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="5" precision="FP32" names="2789,x2.87">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
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+					<dim>40</dim>
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+		<layer id="3149" name="Constant_37075_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 1, 1" offset="297559262" size="2" />
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 				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
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+					<dim>1</dim>
+					<dim>1</dim>
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 			</output>
 		</layer>
-		<layer id="5488" name="Constant_325437" type="Convert" version="opset1">
+		<layer id="3150" name="Constant_37075" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -83738,677 +48837,621 @@
 				<port id="0" precision="FP16">
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 					<dim>1</dim>
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+					<dim>1</dim>
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 			<output>
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 					<dim>1</dim>
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 		</layer>
-		<layer id="5489" name="__module.model.gpt_neox.layers.24.post_attention_layernorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
+		<layer id="3151" name="__module.model.gpt_neox.layers.21.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
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 				<port id="1" precision="FP32">
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 					<dim>1</dim>
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+					<dim>1</dim>
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 		</layer>
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-			<data transpose_a="false" transpose_b="true" />
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 		</layer>
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-			<rt_info>
-				<attribute name="decompression" version="0" />
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+		<layer id="3180" name="Constant_39734" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="2" size="8" />
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+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="3181" name="Gather_39735" type="Gather" version="opset8">
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 			<input>
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 		</layer>
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 				<port id="0" precision="FP32">
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+				<port id="1" precision="I64">
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 			</output>
 		</layer>
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 			<output>
 				<port id="0" precision="I64">
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 		</layer>
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-			<data special_zero="true" />
+		<layer id="3184" name="Constant_39738" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="2" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="3185" name="Gather_39739" type="Gather" version="opset8">
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 			<input>
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-					<dim>7680</dim>
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 				<port id="1" precision="I64">
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 			</input>
 			<output>
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 				</port>
 			</output>
 		</layer>
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-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
+		<layer id="3186" name="Add_39740" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
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 				<port id="0" precision="I64">
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+					<dim>1</dim>
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+				<port id="1" precision="I64">
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+				</port>
+			</input>
+			<output>
+				<port id="2" precision="I64" names="2803">
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 				</port>
 			</output>
 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3187" name="Constant_14379" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="I64">
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 		</layer>
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+		<layer id="3188" name="__module.model.gpt_neox.layers.21.attention/aten::slice/Slice_14" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
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 					<dim>-1</dim>
 					<dim>-1</dim>
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 				<port id="1" precision="I64">
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 				</port>
 				<port id="2" precision="I64">
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 				<port id="3" precision="I64">
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+					<dim>1</dim>
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+				<port id="4" precision="I64">
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 				</port>
 			</input>
 			<output>
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 					<dim>-1</dim>
 					<dim>-1</dim>
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 				</port>
 			</output>
 		</layer>
-		<layer id="5528" name="__module.model.gpt_neox.layers.25.attention/aten::permute/Transpose" type="Transpose" version="opset1">
+		<layer id="3189" name="__module.model.gpt_neox.layers.21.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
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 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
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+					<dim>80</dim>
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+				<port id="1" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
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+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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+				<port id="3" precision="FP32">
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+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4054,query.151">
+				<port id="4" precision="FP32" names="2808,attn_output.169">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -84416,738 +49459,635 @@
 				</port>
 			</output>
 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
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+		<layer id="3190" name="__module.model.gpt_neox.layers.21.attention/aten::transpose/Constant" type="Const" version="opset1">
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 			<output>
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 		</layer>
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-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I64">
+		<layer id="3191" name="__module.model.gpt_neox.layers.21.attention/aten::transpose/Transpose" type="Transpose" version="opset1">
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+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="2809">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>80</dim>
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 			</output>
 		</layer>
-		<layer id="5531" name="Constant_303176" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559170" size="32" />
+		<layer id="3192" name="Constant_40556" type="Const" version="opset1">
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 			<rt_info>
 				<attribute name="precise" version="0" />
 			</rt_info>
 			<output>
 				<port id="0" precision="I64">
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 		</layer>
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+		<layer id="3193" name="__module.model.gpt_neox.layers.21.attention/aten::view/Reshape_1" type="Reshape" version="opset1">
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 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
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 					<dim>-1</dim>
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 					<dim>80</dim>
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 				<port id="1" precision="I64">
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-				<port id="3" precision="I64">
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 			</input>
 			<output>
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 					<dim>-1</dim>
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 					<dim>-1</dim>
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 				</port>
 			</output>
 		</layer>
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+		<layer id="3194" name="self.model.gpt_neox.layers.21.attention.dense.weight_compressed" type="Const" version="opset1">
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 			<output>
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-					<dim>80</dim>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.21.attention.dense.weight">
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+					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5534" name="self.model.gpt_neox.layers.25.attention.rotary_emb.cos_cached" type="Convert" version="opset1">
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 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
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-					<dim>80</dim>
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 			<output>
 				<port id="1" precision="FP32">
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-					<dim>80</dim>
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 		</layer>
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+		<layer id="3227" name="__module.model.gpt_neox.layers.22.input_layernorm/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
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 					<dim>-1</dim>
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+		<layer id="3228" name="Constant_37080_compressed" type="Const" version="opset1">
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 					<dim>1</dim>
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 			</output>
 		</layer>
-		<layer id="5582" name="Constant_325444" type="Convert" version="opset1">
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 			<rt_info>
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@@ -85156,296 +50096,234 @@
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 					<dim>1</dim>
 					<dim>1</dim>
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 		</layer>
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 		</layer>
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+		<layer id="3234" name="Constant_37081_compressed" type="Const" version="opset1">
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-					<dim>80</dim>
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 			</output>
 		</layer>
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+		<layer id="3235" name="Constant_37081" type="Convert" version="opset1">
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 				<attribute name="decompression" version="0" />
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-					<dim>80</dim>
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 					<dim>1</dim>
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-			<data begin_mask="0" end_mask="0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="3236" name="__module.model.gpt_neox.layers.22.attention.query_key_value/ov_ext::linear/Add" type="Add" version="opset1">
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 					<dim>1</dim>
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+					<dim>-1</dim>
+					<dim>7680</dim>
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-		<layer id="5593" name="Constant_38380" type="Const" version="opset1">
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+		<layer id="3237" name="__module.model.gpt_neox.layers.22.attention/prim::ListConstruct" type="Const" version="opset1">
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 		</layer>
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 		</layer>
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-				<port id="1" precision="FP32">
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+		<layer id="3240" name="Constant_14577" type="Const" version="opset1">
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 					<dim>1</dim>
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+			</output>
+		</layer>
+		<layer id="3241" name="Constant_14579" type="Const" version="opset1">
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+				<port id="0" precision="I64">
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 		</layer>
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-			<data auto_broadcast="numpy" />
+		<layer id="3242" name="__module.model.gpt_neox.layers.22.attention/aten::slice/Slice" type="Slice" version="opset8">
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 			</input>
 			<output>
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 					<dim>-1</dim>
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 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>80</dim>
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 		</layer>
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-			<data element_type="i64" shape="4" offset="297559202" size="32" />
+		<layer id="3243" name="Constant_14588" type="Const" version="opset1">
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 			<output>
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+				<port id="0" precision="I64" names="2861">
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 				</port>
 			</output>
 		</layer>
-		<layer id="5599" name="__module.model.gpt_neox.layers.25.attention/aten::permute/Transpose_1" type="Transpose" version="opset1">
+		<layer id="3244" name="__module.model.gpt_neox.layers.22.attention/aten::permute/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
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@@ -85458,7 +50336,7 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4057,key.151">
+				<port id="2" precision="FP32" names="2862,query.45">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -85466,41 +50344,31 @@
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 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3245" name="Constant_14629" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
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 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
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+		<layer id="3246" name="Constant_14631" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="I64">
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 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3247" name="Constant_14633" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
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 			</output>
 		</layer>
-		<layer id="5603" name="__module.model.gpt_neox.layers.25.attention/aten::slice/Slice_6" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="3248" name="__module.model.gpt_neox.layers.22.attention/aten::slice/Slice_1" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -85509,17 +50377,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
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+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
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+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4063,k.51">
+				<port id="5" precision="FP32" names="2869,q.45">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -85527,7 +50398,7 @@
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 			</output>
 		</layer>
-		<layer id="5604" name="__module.model.gpt_neox.layers.25.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
+		<layer id="3249" name="__module.model.gpt_neox.layers.22.attention/aten::mul/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -85544,7 +50415,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4101">
+				<port id="2" precision="FP32" names="2875">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -85552,165 +50423,31 @@
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 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3250" name="Constant_14787" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559246" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
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 			</output>
 		</layer>
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-			<output>
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-				<attribute name="precise" version="0" />
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 				<port id="0" precision="I64">
 					<dim>1</dim>
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 		</layer>
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-		<layer id="5617" name="Constant_303313" type="Const" version="opset1">
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-				<attribute name="precise" version="0" />
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-				<port id="0" precision="I64">
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 			</output>
 		</layer>
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-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="3253" name="__module.model.gpt_neox.layers.22.attention/aten::slice/Slice_2" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -85719,17 +50456,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
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 				</port>
 				<port id="2" precision="I64">
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+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
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 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4111,x2.103">
+				<port id="5" precision="FP32" names="2885,x2.89">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -85737,8 +50477,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5619" name="Constant_325445_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 1, 1" offset="297887002" size="2" />
+		<layer id="3254" name="Constant_37082_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 1, 1" offset="297559262" size="2" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -85748,7 +50488,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5620" name="Constant_325445" type="Convert" version="opset1">
+		<layer id="3255" name="Constant_37082" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -85770,7 +50510,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5621" name="__module.model.gpt_neox.layers.25.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
+		<layer id="3256" name="__module.model.gpt_neox.layers.22.attention/aten::neg/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -85787,7 +50527,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4112">
+				<port id="2" precision="FP32" names="2886">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -85795,30 +50535,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5622" name="Constant_303358" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3257" name="Constant_14684" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5623" name="Constant_303363" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559170" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3258" name="Constant_14728" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559246" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5624" name="__module.model.gpt_neox.layers.25.attention/aten::slice/Slice_8" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="3259" name="Constant_14730" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3260" name="__module.model.gpt_neox.layers.22.attention/aten::slice/Slice_3" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -85827,17 +50568,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
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 				</port>
 				<port id="3" precision="I64">
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+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4106">
+				<port id="5" precision="FP32" names="2880">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -85845,7 +50589,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5625" name="__module.model.gpt_neox.layers.25.attention/aten::cat/Concat_2" type="Concat" version="opset1">
+		<layer id="3261" name="__module.model.gpt_neox.layers.22.attention/aten::cat/Concat" type="Concat" version="opset1">
 			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
@@ -85862,7 +50606,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4114">
+				<port id="2" precision="FP32" names="2888">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -85870,7 +50614,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5626" name="__module.model.gpt_neox.layers.25.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
+		<layer id="3262" name="__module.model.gpt_neox.layers.22.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -85887,7 +50631,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4115">
+				<port id="2" precision="FP32" names="2889">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -85895,7 +50639,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5627" name="__module.model.gpt_neox.layers.25.attention/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="3263" name="__module.model.gpt_neox.layers.22.attention/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -85912,32 +50656,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4116,4120">
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-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
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-			</output>
-		</layer>
-		<layer id="5628" name="__module.model.gpt_neox.layers.25.attention/aten::to/Convert_1" type="Concat" version="opset1">
-			<data axis="-2" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
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-				<port id="1" precision="FP32">
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-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="present.25.key">
+				<port id="2" precision="FP32" names="2890,2908">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -85945,13 +50664,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5629" name="Constant_433301_compressed" type="Const" version="opset1">
+		<layer id="3264" name="Constant_52630_compressed" type="Const" version="opset1">
 			<data element_type="f16" shape="" offset="0" size="2" />
 			<output>
 				<port id="0" precision="FP16" />
 			</output>
 		</layer>
-		<layer id="5630" name="Constant_433301" type="Convert" version="opset1">
+		<layer id="3265" name="Constant_52630" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -85963,7 +50682,7 @@
 				<port id="1" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="5631" name="Constant_433294" type="Const" version="opset1">
+		<layer id="3266" name="Constant_52623" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="10" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -85971,7 +50690,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5632" name="Constant_433296" type="Const" version="opset1">
+		<layer id="3267" name="Constant_52625" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -85979,7 +50698,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5633" name="Constant_433298" type="Const" version="opset1">
+		<layer id="3268" name="Constant_52627" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="18" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -85987,7 +50706,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5634" name="Concat_433299" type="Concat" version="opset1">
+		<layer id="3269" name="Concat_52628" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -86009,7 +50728,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5635" name="Broadcast_433302" type="Broadcast" version="opset3">
+		<layer id="3270" name="Broadcast_52631" type="Broadcast" version="opset3">
 			<data mode="numpy" />
 			<input>
 				<port id="0" precision="FP32" />
@@ -86026,8 +50745,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5636" name="ReadValue_417356" type="ReadValue" version="opset6">
-			<data variable_id="past_key_values.25.valuepresent.25.value" variable_type="f32" variable_shape="?,32,?,80" />
+		<layer id="3271" name="ReadValue_49794" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.22.keypresent.22.key" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -86037,7 +50756,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="past_key_values.25.value">
+				<port id="1" precision="FP32" names="past_key_values.22.key">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -86045,13 +50764,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5637" name="Constant_402043" type="Const" version="opset1">
+		<layer id="3272" name="Constant_47461" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="5638" name="Gather_402044" type="Gather" version="opset8">
+		<layer id="3273" name="Gather_47462" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
@@ -86074,41 +50793,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5639" name="Constant_303408" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297886914" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3274" name="Constant_14593" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="18" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5640" name="Constant_303411" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297886970" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3275" name="Constant_14595" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559264" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5641" name="Constant_303414" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559170" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3276" name="Constant_14597" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5642" name="__module.model.gpt_neox.layers.25.attention/aten::slice/Slice_10" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="3277" name="__module.model.gpt_neox.layers.22.attention/aten::slice/Slice_5" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -86117,17 +50826,20 @@
 					<dim>240</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4058">
+				<port id="5" precision="FP32" names="2863">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
@@ -86135,15 +50847,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5643" name="Constant_14775" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559202" size="32" />
+		<layer id="3278" name="Constant_14606" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="297559122" size="32" />
 			<output>
-				<port id="0" precision="I64" names="4059">
+				<port id="0" precision="I64" names="2864">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5644" name="__module.model.gpt_neox.layers.25.attention/aten::permute/Transpose_2" type="Transpose" version="opset1">
+		<layer id="3279" name="__module.model.gpt_neox.layers.22.attention/aten::permute/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -86156,32 +50868,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4060">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
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-			</output>
-		</layer>
-		<layer id="5645" name="__module.model.gpt_neox.layers.25.attention/aten::cat/Concat_5" type="Concat" version="opset1">
-			<data axis="-2" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="present.25.value">
+				<port id="2" precision="FP32" names="2865,key.89">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -86189,41 +50876,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5646" name="__module.model.gpt_neox.layers.25.attention/aten::slice/Slice_11" type="Const" version="opset1">
-			<data element_type="boolean" shape="1, 1, 2048, 2048" offset="298214684" size="4194304" />
+		<layer id="3280" name="Constant_14649" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
-				<port id="0" precision="BOOL" names="4137">
-					<dim>1</dim>
+				<port id="0" precision="I64">
 					<dim>1</dim>
-					<dim>2048</dim>
-					<dim>2048</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5647" name="Constant_303418" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3281" name="Constant_14651" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="18" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>3</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5648" name="Constant_303417" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886954" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3282" name="Constant_14653" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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@@ -86231,56 +50908,30 @@
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+					<dim>32</dim>
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+					<dim>80</dim>
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 		</layer>
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@@ -86288,94 +50939,53 @@
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-				<port id="0" precision="I64">
-					<dim>4</dim>
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+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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 		</layer>
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+		<layer id="3285" name="Constant_14930" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559246" size="8" />
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-				<attribute name="precise" version="0" />
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+		<layer id="3287" name="Constant_14934" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
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 				</port>
 			</output>
 		</layer>
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 			<input>
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-					<dim>3</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
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@@ -86383,160 +50993,111 @@
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 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
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 				<port id="4" precision="I64">
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+				<port id="5" precision="FP32" names="2901,x2.91">
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+					<dim>32</dim>
+					<dim>-1</dim>
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 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
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 			</output>
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+		<layer id="3290" name="Constant_37083" type="Convert" version="opset1">
+			<data destination_type="f32" />
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+					<dim>1</dim>
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+		<layer id="3291" name="__module.model.gpt_neox.layers.22.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
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 			<output>
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+					<dim>32</dim>
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 			<output>
 				<port id="0" precision="I64">
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 		</layer>
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-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3293" name="Constant_14871" type="Const" version="opset1">
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 				<port id="0" precision="I64">
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-				<attribute name="precise" version="0" />
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+			<data element_type="i64" shape="1" offset="297559106" size="8" />
 			<output>
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 				</port>
 			</output>
 		</layer>
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 			<input>
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-					<dim>4</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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 				<port id="1" precision="I64">
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@@ -86544,212 +51105,165 @@
 				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
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 				</port>
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-			<output>
 				<port id="4" precision="I64">
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-				<attribute name="precise" version="0" />
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 			<output>
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+					<dim>32</dim>
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 		</layer>
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-				<port id="2" precision="I64">
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+					<dim>32</dim>
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 			<output>
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 					<dim>-1</dim>
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 					<dim>-1</dim>
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+					<dim>32</dim>
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+					<dim>80</dim>
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+				<port id="2" precision="FP32" names="2906,2910">
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+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
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 			</output>
 		</layer>
-		<layer id="5681" name="ShapeOf_316789" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="3299" name="__module.model.gpt_neox.layers.22.attention/aten::cat/Concat_4" type="Concat" version="opset1">
+			<data axis="-2" />
 			<input>
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+					<dim>32</dim>
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+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
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 			<output>
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-					<dim>4</dim>
+				<port id="2" precision="FP32" names="present.22.key">
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+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3300" name="Constant_52642_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="" offset="0" size="2" />
 			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
-				</port>
+				<port id="0" precision="FP16" />
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 		</layer>
-		<layer id="5683" name="Constant_340272" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="2" size="8" />
+		<layer id="3301" name="Constant_52642" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="precise" version="0" />
+				<attribute name="decompression" version="0" />
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-			<output>
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-			</output>
-		</layer>
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-				</port>
-				<port id="1" precision="I64">
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-				</port>
-				<port id="2" precision="I64" />
+				<port id="0" precision="FP16" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="4125">
-					<dim>1</dim>
-				</port>
+				<port id="1" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="5685" name="Constant_268211" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886946" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3302" name="Constant_52635" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="10" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5686" name="Constant_268213" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3303" name="Constant_52637" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5687" name="Constant_268215" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886946" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3304" name="Constant_52639" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="18" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5688" name="__module.model.gpt_neox.layers.25.attention/prim::ListConstruct/Concat_1" type="Concat" version="opset1">
+		<layer id="3305" name="Concat_52640" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -86766,42 +51280,333 @@
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64" names="4142">
+				<port id="4" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5689" name="Maximum_316790" type="Maximum" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="3306" name="Broadcast_52643" type="Broadcast" version="opset3">
+			<data mode="numpy" />
 			<input>
+				<port id="0" precision="FP32" />
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>0</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3307" name="ReadValue_49796" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.22.valuepresent.22.value" variable_type="f32" variable_shape="?,32,?,80" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>0</dim>
+					<dim>80</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="past_key_values.22.value">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3308" name="Constant_47464" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="2" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="3309" name="Gather_47465" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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+				<port id="1" precision="I32">
+					<dim>-1</dim>
+				</port>
+				<port id="2" precision="I64" />
+			</input>
+			<output>
+				<port id="3" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3310" name="Constant_14611" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559264" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3311" name="Constant_14613" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559254" size="8" />
+			<output>
 				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3312" name="Constant_14615" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3313" name="__module.model.gpt_neox.layers.22.attention/aten::slice/Slice_10" type="Slice" version="opset8">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>240</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="5" precision="FP32" names="2866">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3314" name="Constant_14624" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="297559122" size="32" />
+			<output>
+				<port id="0" precision="I64" names="2867">
 					<dim>4</dim>
 				</port>
+			</output>
+		</layer>
+		<layer id="3315" name="__module.model.gpt_neox.layers.22.attention/aten::permute/Transpose_2" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>80</dim>
+				</port>
 				<port id="1" precision="I64">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="FP32" names="2868">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5690" name="__module.model.gpt_neox.layers.25.attention/aten::add/Add_2" type="Broadcast" version="opset3">
-			<data mode="numpy" />
+		<layer id="3316" name="__module.model.gpt_neox.layers.22.attention/aten::cat/Concat_5" type="Concat" version="opset1">
+			<data axis="-2" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="present.22.value">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3317" name="Constant_15006" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
+			<output>
+				<port id="0" precision="I64">
 					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3318" name="ShapeOf_39805" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3319" name="Constant_39806" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559280" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3320" name="Constant_39807" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="2" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="3321" name="Gather_39808" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64" />
+			</input>
+			<output>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3322" name="ShapeOf_39809" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</input>
+			<output>
 				<port id="1" precision="I64">
 					<dim>4</dim>
 				</port>
+			</output>
+		</layer>
+		<layer id="3323" name="Constant_39810" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559280" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3324" name="Constant_39811" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="2" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="3325" name="Gather_39812" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4144">
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3326" name="Add_39813" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="I64" names="2915">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3327" name="Constant_15009" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3328" name="__module.model.gpt_neox.layers.22.attention/aten::slice/Slice_14" type="Slice" version="opset8">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="5" precision="FP32" names="2919">
 					<dim>-1</dim>
 					<dim>1</dim>
 					<dim>-1</dim>
@@ -86809,7 +51614,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5691" name="__module.model.gpt_neox.layers.25.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+		<layer id="3329" name="__module.model.gpt_neox.layers.22.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
 			<data causal="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -86838,7 +51643,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4145,4146,sdpa_result.51,tensor.101">
+				<port id="4" precision="FP32" names="2920,attn_output.177">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -86846,15 +51651,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5692" name="Constant_15216" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559202" size="32" />
+		<layer id="3330" name="__module.model.gpt_neox.layers.22.attention/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="297559312" size="16" />
 			<output>
-				<port id="0" precision="I64" names="4147">
+				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5693" name="__module.model.gpt_neox.layers.25.attention/aten::permute/Transpose_3" type="Transpose" version="opset1">
+		<layer id="3331" name="__module.model.gpt_neox.layers.22.attention/aten::transpose/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -86862,12 +51667,12 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4148">
+				<port id="2" precision="FP32" names="2921">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
@@ -86875,8 +51680,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5694" name="__module.model.gpt_neox.layers.25.attention/prim::ListConstruct/Concat_2" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="302409066" size="24" />
+		<layer id="3332" name="Constant_40557" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="297559328" size="24" />
 			<rt_info>
 				<attribute name="precise" version="0" />
 			</rt_info>
@@ -86886,7 +51691,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5695" name="__module.model.gpt_neox.layers.25.attention/aten::view/Reshape_1" type="Reshape" version="opset1">
+		<layer id="3333" name="__module.model.gpt_neox.layers.22.attention/aten::view/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -86900,23 +51705,23 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4153">
+				<port id="2" precision="FP32" names="2924">
 					<dim>-1</dim>
 					<dim>-1</dim>
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-			<data element_type="f16" shape="2560, 2560" offset="4236233090" size="13107200" />
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+			<data element_type="f16" shape="2560, 2560" offset="3759324472" size="13107200" />
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-		<layer id="5697" name="self.model.gpt_neox.layers.25.attention.dense.weight" type="Convert" version="opset1">
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 			<data destination_type="f32" />
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@@ -86934,7 +51739,7 @@
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-		<layer id="5698" name="__module.model.gpt_neox.layers.25.attention.dense/aten::linear/MatMul" type="MatMul" version="opset1">
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@@ -86955,8 +51760,8 @@
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-			<data element_type="f16" shape="1, 1, 2560" offset="4249340290" size="5120" />
+		<layer id="3337" name="Constant_37084_compressed" type="Const" version="opset1">
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@@ -86965,7 +51770,7 @@
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 		</layer>
-		<layer id="5700" name="Constant_325446" type="Convert" version="opset1">
+		<layer id="3338" name="Constant_37084" type="Convert" version="opset1">
 			<data destination_type="f32" />
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 				<attribute name="decompression" version="0" />
@@ -86985,7 +51790,7 @@
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-		<layer id="5701" name="__module.model.gpt_neox.layers.25.attention.dense/aten::linear/Add" type="Add" version="opset1">
+		<layer id="3339" name="__module.model.gpt_neox.layers.22.attention.dense/ov_ext::linear/Add" type="Add" version="opset1">
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@@ -87000,14 +51805,14 @@
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-		<layer id="5702" name="__module.model.gpt_neox.layers.25/aten::add/Add" type="Add" version="opset1">
+		<layer id="3340" name="__module.model.gpt_neox.layers.22/aten::add/Add" type="Add" version="opset1">
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@@ -87022,14 +51827,14 @@
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+				<port id="2" precision="FP32" names="2933,attn_output.183">
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-		<layer id="5703" name="__module.model.gpt_neox.layers.25.post_attention_layernorm/aten::layer_norm/Constant" type="Const" version="opset1">
+		<layer id="3341" name="__module.model.gpt_neox.layers.22.post_attention_layernorm/aten::layer_norm/Multiply" type="Const" version="opset1">
 			<data element_type="i32" shape="1" offset="258211870" size="4" />
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@@ -87037,7 +51842,7 @@
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-		<layer id="5704" name="__module.model.gpt_neox.layers.25.post_attention_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
+		<layer id="3342" name="__module.model.gpt_neox.layers.22.post_attention_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
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@@ -87057,8 +51862,8 @@
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-		<layer id="5705" name="Constant_325447_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 2560" offset="4249345410" size="5120" />
+		<layer id="3343" name="Constant_37085_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 2560" offset="3772436792" size="5120" />
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 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -87067,7 +51872,7 @@
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 			</output>
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-		<layer id="5706" name="Constant_325447" type="Convert" version="opset1">
+		<layer id="3344" name="Constant_37085" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -87087,7 +51892,7 @@
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-		<layer id="5707" name="__module.model.gpt_neox.layers.25.post_attention_layernorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
+		<layer id="3345" name="__module.model.gpt_neox.layers.22.post_attention_layernorm/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -87109,8 +51914,8 @@
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-		<layer id="5708" name="Constant_325448_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 2560" offset="4249350530" size="5120" />
+		<layer id="3346" name="Constant_37086_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 2560" offset="3772441912" size="5120" />
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 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -87119,7 +51924,7 @@
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 			</output>
 		</layer>
-		<layer id="5709" name="Constant_325448" type="Convert" version="opset1">
+		<layer id="3347" name="Constant_37086" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -87139,7 +51944,7 @@
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 		</layer>
-		<layer id="5710" name="__module.model.gpt_neox.layers.25.post_attention_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="3348" name="__module.model.gpt_neox.layers.22.post_attention_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
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@@ -87154,23 +51959,23 @@
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 			<output>
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 					<dim>-1</dim>
 					<dim>2560</dim>
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-		<layer id="5711" name="self.model.gpt_neox.layers.25.mlp.dense_h_to_4h.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="10240, 2560" offset="4249355650" size="52428800" />
+		<layer id="3349" name="self.model.gpt_neox.layers.22.mlp.dense_h_to_4h.weight" type="Const" version="opset1">
+			<data element_type="f16" shape="10240, 2560" offset="3772447032" size="52428800" />
 			<output>
-				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.25.mlp.dense_h_to_4h.weight">
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.22.mlp.dense_h_to_4h.weight">
 					<dim>10240</dim>
 					<dim>2560</dim>
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 			</output>
 		</layer>
-		<layer id="5712" name="self.model.gpt_neox.layers.25.mlp.dense_h_to_4h.weight" type="Convert" version="opset1">
+		<layer id="3350" name="__module.model.gpt_neox.layers.22.mlp.dense_h_to_4h/ov_ext::linear/ConvertLike" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -87188,7 +51993,7 @@
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 		</layer>
-		<layer id="5713" name="__module.model.gpt_neox.layers.25.mlp.dense_h_to_4h/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="3351" name="__module.model.gpt_neox.layers.22.mlp.dense_h_to_4h/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -87209,37 +52014,31 @@
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 			</output>
 		</layer>
-		<layer id="5714" name="Constant_325449_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 10240" offset="4301784450" size="20480" />
+		<layer id="3352" name="self.model.gpt_neox.layers.22.mlp.dense_h_to_4h.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="10240" offset="3824875832" size="20480" />
 			<output>
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-					<dim>1</dim>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.22.mlp.dense_h_to_4h.bias">
 					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5715" name="Constant_325449" type="Convert" version="opset1">
+		<layer id="3353" name="__module.model.gpt_neox.layers.22.mlp.dense_h_to_4h/ov_ext::linear/ConvertLike_1" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
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-					<dim>1</dim>
 					<dim>10240</dim>
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 			</input>
 			<output>
 				<port id="1" precision="FP32">
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-					<dim>1</dim>
 					<dim>10240</dim>
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 			</output>
 		</layer>
-		<layer id="5716" name="__module.model.gpt_neox.layers.25.mlp.dense_h_to_4h/aten::linear/Add" type="Add" version="opset1">
+		<layer id="3354" name="__module.model.gpt_neox.layers.22.mlp.dense_h_to_4h/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -87248,20 +52047,18 @@
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 				<port id="1" precision="FP32">
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 					<dim>10240</dim>
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 			</input>
 			<output>
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+				<port id="2" precision="FP32" names="2942">
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 					<dim>-1</dim>
 					<dim>10240</dim>
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 		</layer>
-		<layer id="5717" name="__module.model.gpt_neox.layers.25.mlp.act/aten::gelu/Gelu" type="Gelu" version="opset7">
+		<layer id="3355" name="__module.model.gpt_neox.layers.22.mlp.act/aten::gelu/Gelu" type="Gelu" version="opset7">
 			<data approximation_mode="ERF" />
 			<input>
 				<port id="0" precision="FP32">
@@ -87271,23 +52068,23 @@
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 			</input>
 			<output>
-				<port id="1" precision="FP32" names="4172">
+				<port id="1" precision="FP32" names="2943">
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 					<dim>-1</dim>
 					<dim>10240</dim>
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 		</layer>
-		<layer id="5718" name="self.model.gpt_neox.layers.25.mlp.dense_4h_to_h.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="2560, 10240" offset="4301804930" size="52428800" />
+		<layer id="3356" name="self.model.gpt_neox.layers.22.mlp.dense_4h_to_h.weight" type="Const" version="opset1">
+			<data element_type="f16" shape="2560, 10240" offset="3824896312" size="52428800" />
 			<output>
-				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.25.mlp.dense_4h_to_h.weight">
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.22.mlp.dense_4h_to_h.weight">
 					<dim>2560</dim>
 					<dim>10240</dim>
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 		</layer>
-		<layer id="5719" name="self.model.gpt_neox.layers.25.mlp.dense_4h_to_h.weight" type="Convert" version="opset1">
+		<layer id="3357" name="__module.model.gpt_neox.layers.22.mlp.dense_4h_to_h/ov_ext::linear/ConvertLike" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -87305,7 +52102,7 @@
 				</port>
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 		</layer>
-		<layer id="5720" name="__module.model.gpt_neox.layers.25.mlp.dense_4h_to_h/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="3358" name="__module.model.gpt_neox.layers.22.mlp.dense_4h_to_h/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -87326,37 +52123,31 @@
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 			</output>
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-		<layer id="5721" name="Constant_325450_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 2560" offset="4354233730" size="5120" />
+		<layer id="3359" name="self.model.gpt_neox.layers.22.mlp.dense_4h_to_h.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="2560" offset="3877325112" size="5120" />
 			<output>
-				<port id="0" precision="FP16">
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-					<dim>1</dim>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.22.mlp.dense_4h_to_h.bias">
 					<dim>2560</dim>
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 		</layer>
-		<layer id="5722" name="Constant_325450" type="Convert" version="opset1">
+		<layer id="3360" name="__module.model.gpt_neox.layers.22.mlp.dense_4h_to_h/ov_ext::linear/ConvertLike_1" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
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-					<dim>1</dim>
 					<dim>2560</dim>
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 			</input>
 			<output>
 				<port id="1" precision="FP32">
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-					<dim>1</dim>
 					<dim>2560</dim>
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 		</layer>
-		<layer id="5723" name="__module.model.gpt_neox.layers.25.mlp.dense_4h_to_h/aten::linear/Add" type="Add" version="opset1">
+		<layer id="3361" name="__module.model.gpt_neox.layers.22.mlp.dense_4h_to_h/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -87365,20 +52156,18 @@
 					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>2560</dim>
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 			<output>
-				<port id="2" precision="FP32" names="4175,input.105">
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 					<dim>-1</dim>
 					<dim>2560</dim>
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-		<layer id="5724" name="__module.model.gpt_neox.layers.25/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="3362" name="__module.model.gpt_neox.layers.22/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -87393,14 +52182,14 @@
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 			<output>
-				<port id="2" precision="FP32" names="4177,4179,hidden_states.53">
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 					<dim>-1</dim>
 					<dim>2560</dim>
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-		<layer id="5725" name="__module.model.gpt_neox.layers.26.input_layernorm/aten::layer_norm/Constant" type="Const" version="opset1">
+		<layer id="3363" name="__module.model.gpt_neox.layers.23.input_layernorm/aten::layer_norm/Multiply" type="Const" version="opset1">
 			<data element_type="i32" shape="1" offset="258211870" size="4" />
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@@ -87408,7 +52197,7 @@
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-		<layer id="5726" name="__module.model.gpt_neox.layers.26.input_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
+		<layer id="3364" name="__module.model.gpt_neox.layers.23.input_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -87428,8 +52217,8 @@
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-		<layer id="5727" name="Constant_325451_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 2560" offset="4354238850" size="5120" />
+		<layer id="3365" name="Constant_37087_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 2560" offset="3877330232" size="5120" />
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 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -87438,7 +52227,7 @@
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 			</output>
 		</layer>
-		<layer id="5728" name="Constant_325451" type="Convert" version="opset1">
+		<layer id="3366" name="Constant_37087" type="Convert" version="opset1">
 			<data destination_type="f32" />
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 				<attribute name="decompression" version="0" />
@@ -87458,7 +52247,7 @@
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-		<layer id="5729" name="__module.model.gpt_neox.layers.26.input_layernorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
+		<layer id="3367" name="__module.model.gpt_neox.layers.23.input_layernorm/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -87480,8 +52269,8 @@
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 		</layer>
-		<layer id="5730" name="Constant_325452_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 2560" offset="4354243970" size="5120" />
+		<layer id="3368" name="Constant_37088_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 2560" offset="3877335352" size="5120" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -87490,7 +52279,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5731" name="Constant_325452" type="Convert" version="opset1">
+		<layer id="3369" name="Constant_37088" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -87510,7 +52299,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5732" name="__module.model.gpt_neox.layers.26.input_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="3370" name="__module.model.gpt_neox.layers.23.input_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -87525,23 +52314,23 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4189">
+				<port id="2" precision="FP32" names="2960,hidden_states.93">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5733" name="self.model.gpt_neox.layers.26.attention.query_key_value.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="7680, 2560" offset="4354249090" size="39321600" />
+		<layer id="3371" name="self.model.gpt_neox.layers.23.attention.query_key_value.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="7680, 2560" offset="3877340472" size="39321600" />
 			<output>
-				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.26.attention.query_key_value.weight">
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.23.attention.query_key_value.weight">
 					<dim>7680</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5734" name="self.model.gpt_neox.layers.26.attention.query_key_value.weight" type="Convert" version="opset1">
+		<layer id="3372" name="self.model.gpt_neox.layers.23.attention.query_key_value.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -87559,7 +52348,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5735" name="__module.model.gpt_neox.layers.26.attention.query_key_value/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="3373" name="__module.model.gpt_neox.layers.23.attention.query_key_value/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -87580,8 +52369,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5736" name="Constant_325453_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 7680" offset="4393570690" size="15360" />
+		<layer id="3374" name="Constant_37089_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 7680" offset="3916662072" size="15360" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -87590,7 +52379,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5737" name="Constant_325453" type="Convert" version="opset1">
+		<layer id="3375" name="Constant_37089" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -87610,7 +52399,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5738" name="__module.model.gpt_neox.layers.26.attention.query_key_value/aten::linear/Add" type="Add" version="opset1">
+		<layer id="3376" name="__module.model.gpt_neox.layers.23.attention.query_key_value/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -87625,14 +52414,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4196,qkv.105">
+				<port id="2" precision="FP32" names="2967,qkv.93">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>7680</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5739" name="__module.model.gpt_neox.layers.26.attention/prim::ListConstruct/Concat" type="Const" version="opset1">
+		<layer id="3377" name="__module.model.gpt_neox.layers.23.attention/prim::ListConstruct" type="Const" version="opset1">
 			<data element_type="i64" shape="4" offset="297559074" size="32" />
 			<rt_info>
 				<attribute name="precise" version="0" />
@@ -87643,7 +52432,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5740" name="__module.model.gpt_neox.layers.26.attention/aten::view/Reshape" type="Reshape" version="opset1">
+		<layer id="3378" name="__module.model.gpt_neox.layers.23.attention/aten::view/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -87656,7 +52445,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4200,qkv.107">
+				<port id="2" precision="FP32" names="2971,qkv.95">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
@@ -87664,41 +52453,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5741" name="Constant_303509" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559106" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3379" name="Constant_15205" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5742" name="Constant_303512" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559138" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3380" name="Constant_15207" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="18" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5743" name="Constant_303515" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559170" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3381" name="Constant_15209" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5744" name="__module.model.gpt_neox.layers.26.attention/aten::slice/Slice" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="3382" name="__module.model.gpt_neox.layers.23.attention/aten::slice/Slice" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -87707,17 +52486,20 @@
 					<dim>240</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4201">
+				<port id="5" precision="FP32" names="2972">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
@@ -87725,15 +52507,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5745" name="Constant_15328" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559202" size="32" />
+		<layer id="3383" name="Constant_15218" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="297559122" size="32" />
 			<output>
-				<port id="0" precision="I64" names="4202">
+				<port id="0" precision="I64" names="2973">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5746" name="__module.model.gpt_neox.layers.26.attention/aten::permute/Transpose" type="Transpose" version="opset1">
+		<layer id="3384" name="__module.model.gpt_neox.layers.23.attention/aten::permute/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -87746,7 +52528,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4203,query.157">
+				<port id="2" precision="FP32" names="2974,query.47">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -87754,41 +52536,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5747" name="Constant_303521" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559106" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3385" name="Constant_15259" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5748" name="Constant_303524" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559138" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3386" name="Constant_15261" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="18" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5749" name="Constant_303527" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559170" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3387" name="Constant_15263" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5750" name="__module.model.gpt_neox.layers.26.attention/aten::slice/Slice_1" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="3388" name="__module.model.gpt_neox.layers.23.attention/aten::slice/Slice_1" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -87797,183 +52569,300 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="5" precision="FP32" names="2981,q.47">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3389" name="__module.model.gpt_neox.layers.23.attention/aten::mul/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="2987">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3390" name="Constant_15417" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559246" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3391" name="Constant_15419" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559254" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3392" name="Constant_15421" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3393" name="__module.model.gpt_neox.layers.23.attention/aten::slice/Slice_2" type="Slice" version="opset8">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4210,q.53">
+				<port id="5" precision="FP32" names="2997,x2.93">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5751" name="self.model.gpt_neox.layers.26.attention.rotary_emb.cos_cached_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="2048, 80" offset="297559234" size="327680" />
+		<layer id="3394" name="Constant_37090_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 1, 1" offset="297559262" size="2" />
 			<output>
-				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.26.attention.rotary_emb.cos_cached">
-					<dim>2048</dim>
-					<dim>80</dim>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5752" name="self.model.gpt_neox.layers.26.attention.rotary_emb.cos_cached" type="Convert" version="opset1">
+		<layer id="3395" name="Constant_37090" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
-					<dim>2048</dim>
-					<dim>80</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP32">
-					<dim>2048</dim>
-					<dim>80</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5753" name="__module.model.gpt_neox.layers.26.attention.rotary_emb/aten::slice/Unsqueeze" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="2" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I64">
+		<layer id="3396" name="__module.model.gpt_neox.layers.23.attention/aten::neg/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 					<dim>1</dim>
 				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="2998">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="5754" name="Constant_303533" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559138" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3397" name="Constant_15314" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5755" name="Constant_303536" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297886914" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3398" name="Constant_15358" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559246" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5756" name="Constant_303539" type="Const" version="opset1">
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-			<rt_info>
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 					<dim>-1</dim>
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+					<dim>1</dim>
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+				<port id="4" precision="I64">
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 			</input>
 			<output>
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+					<dim>-1</dim>
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 			</output>
 		</layer>
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-			<data output_type="i64" />
+		<layer id="3401" name="__module.model.gpt_neox.layers.23.attention/aten::cat/Concat" type="Concat" version="opset1">
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 				<port id="0" precision="FP32">
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+					<dim>32</dim>
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+					<dim>40</dim>
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+				<port id="1" precision="FP32">
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 					<dim>32</dim>
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+					<dim>-1</dim>
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 			</input>
 			<output>
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+				<port id="2" precision="FP32" names="3000">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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 			</output>
 		</layer>
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-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I64">
+		<layer id="3402" name="__module.model.gpt_neox.layers.23.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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+				<port id="1" precision="FP32">
+					<dim>-1</dim>
 					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
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-		</layer>
-		<layer id="5760" name="Constant_340277" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="2" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+			</input>
 			<output>
-				<port id="0" precision="I64" />
+				<port id="2" precision="FP32" names="3001">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="5761" name="Gather_340278" type="Gather" version="opset8">
-			<data batch_dims="0" />
+		<layer id="3403" name="__module.model.gpt_neox.layers.23.attention/aten::add/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
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+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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 			</input>
 			<output>
-				<port id="3" precision="I64" names="4214">
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="3002,3020">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5762" name="Constant_433314_compressed" type="Const" version="opset1">
+		<layer id="3404" name="Constant_52654_compressed" type="Const" version="opset1">
 			<data element_type="f16" shape="" offset="0" size="2" />
 			<output>
 				<port id="0" precision="FP16" />
 			</output>
 		</layer>
-		<layer id="5763" name="Constant_433314" type="Convert" version="opset1">
+		<layer id="3405" name="Constant_52654" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -87985,7 +52874,7 @@
 				<port id="1" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="5764" name="Constant_433307" type="Const" version="opset1">
+		<layer id="3406" name="Constant_52647" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="10" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -87993,7 +52882,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5765" name="Constant_433309" type="Const" version="opset1">
+		<layer id="3407" name="Constant_52649" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -88001,7 +52890,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5766" name="Constant_433311" type="Const" version="opset1">
+		<layer id="3408" name="Constant_52651" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="18" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -88009,7 +52898,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5767" name="Concat_433312" type="Concat" version="opset1">
+		<layer id="3409" name="Concat_52652" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -88031,7 +52920,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5768" name="Broadcast_433315" type="Broadcast" version="opset3">
+		<layer id="3410" name="Broadcast_52655" type="Broadcast" version="opset3">
 			<data mode="numpy" />
 			<input>
 				<port id="0" precision="FP32" />
@@ -88048,8 +52937,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5769" name="ReadValue_417358" type="ReadValue" version="opset6">
-			<data variable_id="past_key_values.26.keypresent.26.key" variable_type="f32" variable_shape="?,32,?,80" />
+		<layer id="3411" name="ReadValue_49798" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.23.keypresent.23.key" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -88059,7 +52948,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="past_key_values.26.key">
+				<port id="1" precision="FP32" names="past_key_values.23.key">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -88067,13 +52956,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5770" name="Constant_402046" type="Const" version="opset1">
+		<layer id="3412" name="Constant_47467" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="5771" name="Gather_402047" type="Gather" version="opset8">
+		<layer id="3413" name="Gather_47468" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
@@ -88096,110 +52985,119 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5772" name="ShapeOf_340280" type="ShapeOf" version="opset3">
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-				<port id="0" precision="FP32">
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-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-			</input>
+		<layer id="3414" name="Constant_15223" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="18" size="8" />
 			<output>
-				<port id="1" precision="I64">
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+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5773" name="Constant_340281" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="297886954" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3415" name="Constant_15225" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559264" size="8" />
 			<output>
-				<port id="0" precision="I64" />
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="5774" name="Constant_340282" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="2" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3416" name="Constant_15227" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
 			<output>
-				<port id="0" precision="I64" />
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="5775" name="Gather_340283" type="Gather" version="opset8">
-			<data batch_dims="0" />
+		<layer id="3417" name="__module.model.gpt_neox.layers.23.attention/aten::slice/Slice_5" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>240</dim>
+				</port>
+				<port id="1" precision="I64">
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+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
-				<port id="1" precision="I64" />
-				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="4216" />
+				<port id="5" precision="FP32" names="2975">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>80</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="5776" name="Constant_337844" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3418" name="Constant_15236" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="297559122" size="32" />
 			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
+				<port id="0" precision="I64" names="2976">
+					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5777" name="Reshape_340957" type="Reshape" version="opset1">
-			<data special_zero="false" />
+		<layer id="3419" name="__module.model.gpt_neox.layers.23.attention/aten::permute/Transpose_1" type="Transpose" version="opset1">
 			<input>
-				<port id="0" precision="I64" />
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>80</dim>
+				</port>
 				<port id="1" precision="I64">
-					<dim>1</dim>
+					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64">
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="2977,key.93">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
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-			<data auto_broadcast="numpy" />
-			<input>
+		<layer id="3420" name="Constant_15279" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
+			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-			</input>
+			</output>
+		</layer>
+		<layer id="3421" name="Constant_15281" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="18" size="8" />
 			<output>
-				<port id="2" precision="I64" names="4215,4219,4220,seq_len.105">
+				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5779" name="__module.model.gpt_neox.layers.26.attention.rotary_emb/aten::slice/Unsqueeze_2" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3422" name="Constant_15283" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-			<data begin_mask="0" end_mask="0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="3423" name="__module.model.gpt_neox.layers.23.attention/aten::slice/Slice_6" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
-					<dim>2048</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
@@ -88211,108 +53109,181 @@
 				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4223,4226,cos.105">
+				<port id="5" precision="FP32" names="2983,k.47">
+					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5781" name="Constant_38383" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="I32" />
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-		</layer>
-		<layer id="5782" name="__module.model.gpt_neox.layers.26.attention/aten::index/Gather" type="Gather" version="opset8">
-			<data batch_dims="0" />
+		<layer id="3424" name="__module.model.gpt_neox.layers.23.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I32">
+				<port id="1" precision="FP32">
 					<dim>-1</dim>
+					<dim>1</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-				<port id="2" precision="I32" />
 			</input>
 			<output>
-				<port id="3" precision="FP32" names="4229">
+				<port id="2" precision="FP32" names="3003">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5783" name="__module.model.gpt_neox.layers.26.attention/aten::unsqueeze/Unsqueeze" type="Unsqueeze" version="opset1">
+		<layer id="3425" name="Constant_15560" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559246" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3426" name="Constant_15562" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559254" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3427" name="Constant_15564" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3428" name="__module.model.gpt_neox.layers.23.attention/aten::slice/Slice_7" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64" />
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4230,cos.107">
+				<port id="5" precision="FP32" names="3013,x2.95">
 					<dim>-1</dim>
-					<dim>1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3429" name="Constant_37091_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 1, 1" offset="297559262" size="2" />
+			<output>
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+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3430" name="Constant_37091" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
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+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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+		<layer id="3431" name="__module.model.gpt_neox.layers.23.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
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+					<dim>1</dim>
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 			</input>
 			<output>
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+				<port id="2" precision="FP32" names="3014">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>40</dim>
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 			</output>
 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3432" name="Constant_15457" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
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 			</output>
 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3433" name="Constant_15501" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559246" size="8" />
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 				<port id="0" precision="I64">
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 		</layer>
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-			<data output_type="i64" />
+		<layer id="3434" name="Constant_15503" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3435" name="__module.model.gpt_neox.layers.23.attention/aten::slice/Slice_8" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -88320,93 +53291,175 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
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+				<port id="4" precision="I64">
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 			</input>
 			<output>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="5" precision="FP32" names="3008">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3436" name="__module.model.gpt_neox.layers.23.attention/aten::cat/Concat_2" type="Concat" version="opset1">
+			<data axis="-1" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="I32" />
+				<port id="2" precision="FP32" names="3016">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
 			</output>
 		</layer>
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-			<data batch_dims="0" />
+		<layer id="3437" name="__module.model.gpt_neox.layers.23.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
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-				<port id="2" precision="I32" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="4235,4240" />
+				<port id="2" precision="FP32" names="3017">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
 			</output>
 		</layer>
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-			<data auto_broadcast="numpy" m_pythondiv="true" />
+		<layer id="3438" name="__module.model.gpt_neox.layers.23.attention/aten::add/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64" />
+				<port id="2" precision="FP32" names="3018,3022">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="5791" name="__module.model.gpt_neox.layers.26.attention/aten::floor_divide/Floor_1" type="Floor" version="opset1">
+		<layer id="3439" name="__module.model.gpt_neox.layers.23.attention/aten::cat/Concat_4" type="Concat" version="opset1">
+			<data axis="-2" />
 			<input>
-				<port id="0" precision="I64" />
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="4237,4238,4242,4243" />
+				<port id="2" precision="FP32" names="present.23.key">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3440" name="Constant_52666_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="" offset="0" size="2" />
+			<output>
+				<port id="0" precision="FP16" />
 			</output>
 		</layer>
-		<layer id="5792" name="Constant_337846" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886946" size="8" />
+		<layer id="3441" name="Constant_52666" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="precise" version="0" />
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16" />
+			</input>
+			<output>
+				<port id="1" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="3442" name="Constant_52659" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-			</input>
+		<layer id="3443" name="Constant_52661" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
-				<port id="2" precision="I64">
+				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5794" name="Constant_303542" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3444" name="Constant_52663" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="18" size="8" />
 			<output>
-				<port id="0" precision="I32">
+				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5795" name="ScatterUpdate_303545" type="ScatterUpdate" version="opset3">
+		<layer id="3445" name="Concat_52664" type="Concat" version="opset1">
+			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -88414,7 +53467,7 @@
 				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
+				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
 			</input>
@@ -88424,30 +53477,50 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5796" name="Constant_303548" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3446" name="Broadcast_52667" type="Broadcast" version="opset3">
+			<data mode="numpy" />
+			<input>
+				<port id="0" precision="FP32" />
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>0</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3447" name="ReadValue_49800" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.23.valuepresent.23.value" variable_type="f32" variable_shape="?,32,?,80" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>0</dim>
+					<dim>80</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32" names="past_key_values.23.value">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5797" name="Constant_303551" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3448" name="Constant_47470" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="2" size="8" />
 			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
+				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="5798" name="__module.model.gpt_neox.layers.26.attention/aten::slice/Slice_3" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="3449" name="Gather_47471" type="Gather" version="opset8">
+			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -88455,151 +53528,121 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="2" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="3" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="I32">
+					<dim>-1</dim>
 				</port>
+				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4244,x2.105">
+				<port id="3" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>40</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
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-			<data element_type="f16" shape="1, 1, 1, 1" offset="297887002" size="2" />
+		<layer id="3450" name="Constant_15241" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559264" size="8" />
 			<output>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5800" name="Constant_325454" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
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-			<input>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+		<layer id="3451" name="Constant_15243" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559254" size="8" />
+			<output>
+				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
-			</input>
+			</output>
+		</layer>
+		<layer id="3452" name="Constant_15245" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
 			<output>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5801" name="__module.model.gpt_neox.layers.26.attention/aten::neg/Multiply" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="3453" name="__module.model.gpt_neox.layers.23.attention/aten::slice/Slice_10" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>40</dim>
+					<dim>32</dim>
+					<dim>240</dim>
 				</port>
-				<port id="1" precision="FP32">
+				<port id="1" precision="I64">
 					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
 					<dim>1</dim>
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+				<port id="3" precision="I64">
 					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4245">
+				<port id="5" precision="FP32" names="2978">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
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-				<attribute name="precise" version="0" />
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-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>32</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
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+		<layer id="3454" name="Constant_15254" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="297559122" size="32" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I64" names="2979">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
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-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="3455" name="__module.model.gpt_neox.layers.23.attention/aten::permute/Transpose_2" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
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 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>4</dim>
 				</port>
-				<port id="2" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="3" precision="I64">
-					<dim>4</dim>
-				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4239">
+				<port id="2" precision="FP32" names="2980">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>40</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5805" name="__module.model.gpt_neox.layers.26.attention/aten::cat/Concat" type="Concat" version="opset1">
-			<data axis="-1" />
+		<layer id="3456" name="__module.model.gpt_neox.layers.23.attention/aten::cat/Concat_5" type="Concat" version="opset1">
+			<data axis="-2" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>40</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>40</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4247">
+				<port id="2" precision="FP32" names="present.23.value">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -88607,142 +53650,192 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5806" name="self.model.gpt_neox.layers.26.attention.rotary_emb.sin_cached_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="2048, 80" offset="297887004" size="327680" />
+		<layer id="3457" name="Constant_15636" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
-				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.26.attention.rotary_emb.sin_cached">
-					<dim>2048</dim>
-					<dim>80</dim>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5807" name="self.model.gpt_neox.layers.26.attention.rotary_emb.sin_cached" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
+		<layer id="3458" name="ShapeOf_39878" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
 			<input>
-				<port id="0" precision="FP16">
-					<dim>2048</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
-					<dim>2048</dim>
-					<dim>80</dim>
+				<port id="1" precision="I64">
+					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5808" name="__module.model.gpt_neox.layers.26.attention.rotary_emb/aten::slice/Unsqueeze_4" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="2" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3459" name="Constant_39879" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559280" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5809" name="__module.model.gpt_neox.layers.26.attention.rotary_emb/aten::slice/Unsqueeze_6" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886946" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3460" name="Constant_39880" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="2" size="8" />
 			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="3461" name="Gather_39881" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
 				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64" />
+			</input>
+			<output>
+				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5810" name="__module.model.gpt_neox.layers.26.attention.rotary_emb/aten::slice/Slice_1" type="StridedSlice" version="opset1">
-			<data begin_mask="0" end_mask="0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="3462" name="ShapeOf_39882" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>2048</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
+			</input>
+			<output>
 				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3463" name="Constant_39883" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559280" size="8" />
+			<output>
+				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="2" precision="I64">
+			</output>
+		</layer>
+		<layer id="3464" name="Constant_39884" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="2" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="3465" name="Gather_39885" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+				<port id="1" precision="I64">
 					<dim>1</dim>
 				</port>
+				<port id="2" precision="I64" />
+			</input>
+			<output>
 				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
+			</output>
+		</layer>
+		<layer id="3466" name="Add_39886" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4224,4227,sin.105">
-					<dim>-1</dim>
-					<dim>80</dim>
+				<port id="2" precision="I64" names="3027">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5811" name="Constant_38386" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="258211866" size="4" />
+		<layer id="3467" name="Constant_15639" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
 			<output>
-				<port id="0" precision="I32" />
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="5812" name="__module.model.gpt_neox.layers.26.attention/aten::index/Gather_1" type="Gather" version="opset8">
-			<data batch_dims="0" />
+		<layer id="3468" name="__module.model.gpt_neox.layers.23.attention/aten::slice/Slice_14" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-				<port id="1" precision="I32">
+					<dim>1</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
-				<port id="2" precision="I32" />
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
 			</input>
 			<output>
-				<port id="3" precision="FP32" names="4232">
+				<port id="5" precision="FP32" names="3031">
+					<dim>-1</dim>
+					<dim>1</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5813" name="__module.model.gpt_neox.layers.26.attention/aten::unsqueeze/Unsqueeze_1" type="Unsqueeze" version="opset1">
+		<layer id="3469" name="__module.model.gpt_neox.layers.23.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+			<data causal="false" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64" />
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="4233,sin.107">
+				<port id="1" precision="FP32">
 					<dim>-1</dim>
-					<dim>1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="5814" name="__module.model.gpt_neox.layers.26.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="FP32">
+				<port id="3" precision="FP32">
 					<dim>-1</dim>
 					<dim>1</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>-1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4248">
+				<port id="4" precision="FP32" names="3032,attn_output.185">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -88750,8 +53843,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5815" name="__module.model.gpt_neox.layers.26.attention/aten::add/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="3470" name="__module.model.gpt_neox.layers.23.attention/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="297559312" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3471" name="__module.model.gpt_neox.layers.23.attention/aten::transpose/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -88759,31 +53859,32 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
+				<port id="1" precision="I32">
+					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4249,4267,4277,query.159,query.161">
+				<port id="2" precision="FP32" names="3033">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5816" name="Constant_15342" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559202" size="32" />
+		<layer id="3472" name="Constant_40558" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="297559328" size="24" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
 			<output>
-				<port id="0" precision="I64" names="4205">
-					<dim>4</dim>
+				<port id="0" precision="I64">
+					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5817" name="__module.model.gpt_neox.layers.26.attention/aten::permute/Transpose_1" type="Transpose" version="opset1">
+		<layer id="3473" name="__module.model.gpt_neox.layers.23.attention/aten::view/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -88792,928 +53893,872 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>3</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4206,key.157">
+				<port id="2" precision="FP32" names="3036">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5818" name="Constant_303647" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559106" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3474" name="self.model.gpt_neox.layers.23.attention.dense.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="2560, 2560" offset="3916677432" size="13107200" />
 			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.23.attention.dense.weight">
+					<dim>2560</dim>
+					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5819" name="Constant_303650" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559138" size="32" />
+		<layer id="3475" name="self.model.gpt_neox.layers.23.attention.dense.weight" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="precise" version="0" />
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>2560</dim>
+					<dim>2560</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>2560</dim>
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3476" name="__module.model.gpt_neox.layers.23.attention.dense/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>2560</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>2560</dim>
+					<dim>2560</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3477" name="Constant_37092_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 2560" offset="3929784632" size="5120" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5820" name="Constant_303653" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559170" size="32" />
+		<layer id="3478" name="Constant_37092" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="precise" version="0" />
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>2560</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5821" name="__module.model.gpt_neox.layers.26.attention/aten::slice/Slice_6" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="3479" name="__module.model.gpt_neox.layers.23.attention.dense/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
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 					<dim>-1</dim>
-					<dim>80</dim>
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-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>2560</dim>
 				</port>
-				<port id="3" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4212,k.53">
+				<port id="2" precision="FP32" names="3039,3041,input.93">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5822" name="__module.model.gpt_neox.layers.26.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
+		<layer id="3480" name="__module.model.gpt_neox.layers.23/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP32">
 					<dim>-1</dim>
-					<dim>1</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4250">
+				<port id="2" precision="FP32" names="3045,attn_output.191">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-			</output>
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 		</layer>
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+		<layer id="3526" name="Constant_15891" type="Const" version="opset1">
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-				<attribute name="precise" version="0" />
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+		<layer id="3527" name="Constant_15893" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
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-				<port id="0" precision="I32">
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 				</port>
 			</output>
 		</layer>
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+		<layer id="3528" name="__module.model.gpt_neox.layers.24.attention/aten::slice/Slice_1" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64">
-					<dim>3</dim>
+				<port id="0" precision="FP32">
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+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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 				<port id="1" precision="I64">
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@@ -89721,56 +54766,78 @@
 				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
+				<port id="3" precision="I64">
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+				<port id="5" precision="FP32" names="3093,q.49">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
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 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3529" name="__module.model.gpt_neox.layers.24.attention/aten::mul/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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+				<port id="1" precision="FP32">
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+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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 			<output>
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+				<port id="2" precision="FP32" names="3099">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
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 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3530" name="Constant_16047" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559246" size="8" />
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 				<port id="0" precision="I64">
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-			<data special_zero="false" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
+		<layer id="3531" name="Constant_16049" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559254" size="8" />
+			<output>
+				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
-			</input>
+			</output>
+		</layer>
+		<layer id="3532" name="Constant_16051" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
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 				</port>
 			</output>
 		</layer>
-		<layer id="5884" name="ScatterUpdate_303772" type="ScatterUpdate" version="opset3">
+		<layer id="3533" name="__module.model.gpt_neox.layers.24.attention/aten::slice/Slice_2" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64">
-					<dim>3</dim>
+				<port id="0" precision="FP32">
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+					<dim>-1</dim>
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 				<port id="1" precision="I64">
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@@ -89778,103 +54845,111 @@
 				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
+				<port id="3" precision="I64">
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 				</port>
 			</input>
 			<output>
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-					<dim>3</dim>
+				<port id="5" precision="FP32" names="3109,x2.97">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
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 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3534" name="Constant_37098_compressed" type="Const" version="opset1">
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 			<output>
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+				<port id="0" precision="FP16">
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+					<dim>1</dim>
+					<dim>1</dim>
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 		</layer>
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-			<data begin_mask="1, 1, 0" end_mask="1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="3535" name="Constant_37098" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
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 			<input>
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 				</port>
 			</input>
 			<output>
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-			<rt_info>
-				<attribute name="precise" version="0" />
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+		<layer id="3536" name="__module.model.gpt_neox.layers.24.attention/aten::neg/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
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+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
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+					<dim>1</dim>
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 			<output>
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-					<dim>4</dim>
+				<port id="2" precision="FP32" names="3110">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
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 		</layer>
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-				<attribute name="precise" version="0" />
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 			<output>
 				<port id="0" precision="I64">
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 				</port>
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 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
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+		<layer id="3538" name="Constant_15988" type="Const" version="opset1">
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 				<port id="0" precision="I64">
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-				<attribute name="precise" version="0" />
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+		<layer id="3539" name="Constant_15990" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
 			<output>
-				<port id="0" precision="I32">
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 				</port>
 			</output>
 		</layer>
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 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -89882,212 +54957,140 @@
 				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
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 				</port>
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 				<port id="4" precision="I64">
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 					<dim>1</dim>
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 			</input>
 			<output>
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-					<dim>1</dim>
-					<dim>1</dim>
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 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
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 		</layer>
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 					<dim>-1</dim>
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 		</layer>
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+		<layer id="3549" name="Concat_52676" type="Concat" version="opset1">
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 			<input>
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@@ -90104,79 +55107,69 @@
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+				<port id="4" precision="I64">
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 		</layer>
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+		<layer id="3550" name="Broadcast_52679" type="Broadcast" version="opset3">
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 		</layer>
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-			<data causal="false" />
+		<layer id="3551" name="ReadValue_49802" type="ReadValue" version="opset6">
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+			<output>
+				<port id="1" precision="FP32" names="past_key_values.24.key">
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 					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="2" precision="FP32">
+			</output>
+		</layer>
+		<layer id="3552" name="Constant_47473" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="2" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="3553" name="Gather_47474" type="Gather" version="opset8">
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+				<port id="0" precision="FP32">
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 			<output>
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+				<port id="3" precision="FP32">
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@@ -90184,280 +55177,234 @@
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 		</layer>
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+		<layer id="3554" name="Constant_15853" type="Const" version="opset1">
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 			<output>
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-				<port id="1" precision="I64">
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-			</input>
+		<layer id="3555" name="Constant_15855" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559264" size="8" />
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-					<dim>80</dim>
+				<port id="0" precision="I64">
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-				<attribute name="precise" version="0" />
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 			<output>
 				<port id="0" precision="I64">
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-			<data special_zero="true" />
+		<layer id="3557" name="__module.model.gpt_neox.layers.24.attention/aten::slice/Slice_5" type="Slice" version="opset8">
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 				<port id="1" precision="I64">
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+					<dim>1</dim>
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+				<port id="2" precision="I64">
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+				<port id="4" precision="I64">
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-					<dim>2560</dim>
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-					<dim>2560</dim>
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+		<layer id="3558" name="Constant_15866" type="Const" version="opset1">
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 			<output>
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-					<dim>2560</dim>
+				<port id="0" precision="I64" names="3088">
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 		</layer>
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-			<data transpose_a="false" transpose_b="true" />
+		<layer id="3559" name="__module.model.gpt_neox.layers.24.attention/aten::permute/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
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 					<dim>-1</dim>
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-					<dim>2560</dim>
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 			<output>
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-			<input>
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 				</port>
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+		<layer id="3562" name="Constant_15913" type="Const" version="opset1">
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 				<port id="0" precision="FP32">
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+		<layer id="3604" name="Constant_39957" type="Const" version="opset1">
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 		</layer>
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 			<output>
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 					<dim>32</dim>
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@@ -91092,738 +56035,635 @@
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@@ -91832,296 +56672,234 @@
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+		<layer id="3653" name="__module.model.gpt_neox.layers.25.attention.query_key_value/ov_ext::linear/MatMul" type="MatMul" version="opset1">
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-			<data element_type="f16" shape="2048, 80" offset="297887004" size="327680" />
+		<layer id="3654" name="Constant_37105_compressed" type="Const" version="opset1">
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-					<dim>80</dim>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
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 			</output>
 		</layer>
-		<layer id="6025" name="self.model.gpt_neox.layers.27.attention.rotary_emb.sin_cached" type="Convert" version="opset1">
+		<layer id="3655" name="Constant_37105" type="Convert" version="opset1">
 			<data destination_type="f32" />
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 				<attribute name="decompression" version="0" />
 			</rt_info>
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 				<port id="0" precision="FP16">
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-					<dim>80</dim>
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 					<dim>1</dim>
+					<dim>7680</dim>
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+		<layer id="3656" name="__module.model.gpt_neox.layers.25.attention.query_key_value/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
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 					<dim>1</dim>
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+				<port id="2" precision="FP32" names="3191,qkv.101">
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+					<dim>-1</dim>
+					<dim>7680</dim>
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 		</layer>
-		<layer id="6029" name="Constant_38392" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="258211866" size="4" />
+		<layer id="3657" name="__module.model.gpt_neox.layers.25.attention/prim::ListConstruct" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="297559074" size="32" />
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+				<attribute name="precise" version="0" />
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+				<port id="0" precision="I64">
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 		</layer>
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-			<data batch_dims="0" />
+		<layer id="3658" name="__module.model.gpt_neox.layers.25.attention/aten::view/Reshape" type="Reshape" version="opset1">
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 					<dim>-1</dim>
+					<dim>7680</dim>
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+				<port id="1" precision="I64">
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 			<output>
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 					<dim>-1</dim>
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 		</layer>
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+		<layer id="3659" name="Constant_16465" type="Const" version="opset1">
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-				<port id="1" precision="FP32">
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+		<layer id="3660" name="Constant_16467" type="Const" version="opset1">
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 					<dim>1</dim>
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 				</port>
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+			</output>
+		</layer>
+		<layer id="3661" name="Constant_16469" type="Const" version="opset1">
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-					<dim>80</dim>
+				<port id="0" precision="I64">
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 		</layer>
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 			</input>
 			<output>
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 					<dim>-1</dim>
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 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>80</dim>
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 		</layer>
-		<layer id="6034" name="Constant_15923" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559202" size="32" />
+		<layer id="3663" name="Constant_16478" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="297559122" size="32" />
 			<output>
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+				<port id="0" precision="I64" names="3197">
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 				</port>
 			</output>
 		</layer>
-		<layer id="6035" name="__module.model.gpt_neox.layers.27.attention/aten::permute/Transpose_1" type="Transpose" version="opset1">
+		<layer id="3664" name="__module.model.gpt_neox.layers.25.attention/aten::permute/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -92134,7 +56912,7 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4355,key.163">
+				<port id="2" precision="FP32" names="3198,query.51">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -92142,41 +56920,31 @@
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 		</layer>
-		<layer id="6036" name="Constant_303998" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3665" name="Constant_16519" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
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 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3666" name="Constant_16521" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="18" size="8" />
 			<output>
 				<port id="0" precision="I64">
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 			</output>
 		</layer>
-		<layer id="6038" name="Constant_304004" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3667" name="Constant_16523" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6039" name="__module.model.gpt_neox.layers.27.attention/aten::slice/Slice_6" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="3668" name="__module.model.gpt_neox.layers.25.attention/aten::slice/Slice_1" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -92185,17 +56953,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
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+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
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+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4361,k.55">
+				<port id="5" precision="FP32" names="3205,q.51">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -92203,7 +56974,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6040" name="__module.model.gpt_neox.layers.27.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
+		<layer id="3669" name="__module.model.gpt_neox.layers.25.attention/aten::mul/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -92220,7 +56991,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4399">
+				<port id="2" precision="FP32" names="3211">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -92228,165 +56999,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6041" name="Constant_304008" type="Const" version="opset1">
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-		<layer id="6042" name="Constant_304007" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3670" name="Constant_16677" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559246" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-					<dim>-1</dim>
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-			<output>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3671" name="Constant_16679" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559254" size="8" />
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 				<port id="0" precision="I64">
 					<dim>1</dim>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3672" name="Constant_16681" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
 			<output>
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-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="3673" name="__module.model.gpt_neox.layers.25.attention/aten::slice/Slice_2" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -92395,17 +57032,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
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 				<port id="2" precision="I64">
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+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
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+					<dim>1</dim>
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+				<port id="4" precision="I64">
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 			</input>
 			<output>
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 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -92413,8 +57053,8 @@
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 			</output>
 		</layer>
-		<layer id="6055" name="Constant_325465_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 1, 1" offset="297887002" size="2" />
+		<layer id="3674" name="Constant_37106_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 1, 1" offset="297559262" size="2" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -92424,7 +57064,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6056" name="Constant_325465" type="Convert" version="opset1">
+		<layer id="3675" name="Constant_37106" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -92446,7 +57086,7 @@
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 			</output>
 		</layer>
-		<layer id="6057" name="__module.model.gpt_neox.layers.27.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
+		<layer id="3676" name="__module.model.gpt_neox.layers.25.attention/aten::neg/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -92463,7 +57103,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4410">
+				<port id="2" precision="FP32" names="3222">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -92471,30 +57111,31 @@
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 			</output>
 		</layer>
-		<layer id="6058" name="Constant_304060" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3677" name="Constant_16574" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6059" name="Constant_304065" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559170" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3678" name="Constant_16618" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559246" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3679" name="Constant_16620" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6060" name="__module.model.gpt_neox.layers.27.attention/aten::slice/Slice_8" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="3680" name="__module.model.gpt_neox.layers.25.attention/aten::slice/Slice_3" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -92503,17 +57144,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
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+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
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+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
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+				<port id="5" precision="FP32" names="3216">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -92521,7 +57165,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6061" name="__module.model.gpt_neox.layers.27.attention/aten::cat/Concat_2" type="Concat" version="opset1">
+		<layer id="3681" name="__module.model.gpt_neox.layers.25.attention/aten::cat/Concat" type="Concat" version="opset1">
 			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
@@ -92538,7 +57182,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4412">
+				<port id="2" precision="FP32" names="3224">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -92546,7 +57190,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6062" name="__module.model.gpt_neox.layers.27.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
+		<layer id="3682" name="__module.model.gpt_neox.layers.25.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -92563,7 +57207,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4413">
+				<port id="2" precision="FP32" names="3225">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -92571,7 +57215,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6063" name="__module.model.gpt_neox.layers.27.attention/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="3683" name="__module.model.gpt_neox.layers.25.attention/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -92588,32 +57232,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4414,4418">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="6064" name="__module.model.gpt_neox.layers.27.attention/aten::to/Convert_1" type="Concat" version="opset1">
-			<data axis="-2" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="present.27.key">
+				<port id="2" precision="FP32" names="3226,3244">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -92621,13 +57240,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6065" name="Constant_433353_compressed" type="Const" version="opset1">
+		<layer id="3684" name="Constant_52702_compressed" type="Const" version="opset1">
 			<data element_type="f16" shape="" offset="0" size="2" />
 			<output>
 				<port id="0" precision="FP16" />
 			</output>
 		</layer>
-		<layer id="6066" name="Constant_433353" type="Convert" version="opset1">
+		<layer id="3685" name="Constant_52702" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -92639,7 +57258,7 @@
 				<port id="1" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="6067" name="Constant_433346" type="Const" version="opset1">
+		<layer id="3686" name="Constant_52695" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="10" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -92647,7 +57266,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6068" name="Constant_433348" type="Const" version="opset1">
+		<layer id="3687" name="Constant_52697" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -92655,7 +57274,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6069" name="Constant_433350" type="Const" version="opset1">
+		<layer id="3688" name="Constant_52699" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="18" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -92663,7 +57282,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6070" name="Concat_433351" type="Concat" version="opset1">
+		<layer id="3689" name="Concat_52700" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -92685,7 +57304,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6071" name="Broadcast_433354" type="Broadcast" version="opset3">
+		<layer id="3690" name="Broadcast_52703" type="Broadcast" version="opset3">
 			<data mode="numpy" />
 			<input>
 				<port id="0" precision="FP32" />
@@ -92702,8 +57321,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6072" name="ReadValue_417364" type="ReadValue" version="opset6">
-			<data variable_id="past_key_values.27.valuepresent.27.value" variable_type="f32" variable_shape="?,32,?,80" />
+		<layer id="3691" name="ReadValue_49806" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.25.keypresent.25.key" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -92713,7 +57332,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="past_key_values.27.value">
+				<port id="1" precision="FP32" names="past_key_values.25.key">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -92721,13 +57340,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6073" name="Constant_402055" type="Const" version="opset1">
+		<layer id="3692" name="Constant_47479" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="6074" name="Gather_402056" type="Gather" version="opset8">
+		<layer id="3693" name="Gather_47480" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
@@ -92750,41 +57369,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6075" name="Constant_304110" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297886914" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3694" name="Constant_16483" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="18" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6076" name="Constant_304113" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297886970" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3695" name="Constant_16485" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559264" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6077" name="Constant_304116" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559170" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3696" name="Constant_16487" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6078" name="__module.model.gpt_neox.layers.27.attention/aten::slice/Slice_10" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="3697" name="__module.model.gpt_neox.layers.25.attention/aten::slice/Slice_5" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -92793,17 +57402,20 @@
 					<dim>240</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4356">
+				<port id="5" precision="FP32" names="3199">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
@@ -92811,15 +57423,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6079" name="Constant_15937" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559202" size="32" />
+		<layer id="3698" name="Constant_16496" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="297559122" size="32" />
 			<output>
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+				<port id="0" precision="I64" names="3200">
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 				</port>
 			</output>
 		</layer>
-		<layer id="6080" name="__module.model.gpt_neox.layers.27.attention/aten::permute/Transpose_2" type="Transpose" version="opset1">
+		<layer id="3699" name="__module.model.gpt_neox.layers.25.attention/aten::permute/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -92832,32 +57444,7 @@
 				</port>
 			</input>
 			<output>
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-					<dim>-1</dim>
-					<dim>80</dim>
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-					<dim>80</dim>
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-			</input>
-			<output>
-				<port id="2" precision="FP32" names="present.27.value">
+				<port id="2" precision="FP32" names="3201,key.101">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -92865,41 +57452,31 @@
 				</port>
 			</output>
 		</layer>
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-			<data element_type="boolean" shape="1, 1, 2048, 2048" offset="298214684" size="4194304" />
+		<layer id="3700" name="Constant_16539" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
-				<port id="0" precision="BOOL" names="4435">
-					<dim>1</dim>
+				<port id="0" precision="I64">
 					<dim>1</dim>
-					<dim>2048</dim>
-					<dim>2048</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6083" name="Constant_304120" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="302408988" size="24" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3701" name="Constant_16541" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="18" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>3</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6084" name="Constant_304119" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3702" name="Constant_16543" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6085" name="ShapeOf_340376" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="3703" name="__module.model.gpt_neox.layers.25.attention/aten::slice/Slice_6" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -92907,56 +57484,30 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-			</input>
-			<output>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="6086" name="Constant_340377" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="297886954" size="8" />
-			<rt_info>
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-			</rt_info>
-			<output>
-				<port id="0" precision="I64" />
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-		</layer>
-		<layer id="6087" name="Constant_340378" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I64" />
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-		</layer>
-		<layer id="6088" name="Gather_340379" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
-				<port id="1" precision="I64" />
-				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" />
+				<port id="5" precision="FP32" names="3207,k.51">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="6089" name="Add_340380" type="Add" version="opset1">
+		<layer id="3704" name="__module.model.gpt_neox.layers.25.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
-			</input>
-			<output>
-				<port id="2" precision="I64" names="4430" />
-			</output>
-		</layer>
-		<layer id="6090" name="ShapeOf_340447" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -92964,94 +57515,53 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-			</input>
-			<output>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="6091" name="Constant_340448" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="297886954" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I64" />
-			</output>
-		</layer>
-		<layer id="6092" name="Constant_340449" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="2" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I64" />
-			</output>
-		</layer>
-		<layer id="6093" name="Gather_340450" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64" />
-				<port id="2" precision="I64" />
-			</input>
-			<output>
-				<port id="3" precision="I64" names="4428" />
-			</output>
-		</layer>
-		<layer id="6094" name="__module.model.gpt_neox.layers.27.attention/aten::sub/Subtract" type="Subtract" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="I64" names="4432,4433" />
+				<port id="2" precision="FP32" names="3227">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="6095" name="Constant_337860" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886946" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3705" name="Constant_16820" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559246" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6096" name="__module.model.gpt_neox.layers.27.attention/aten::slice/Unsqueeze_44" type="Reshape" version="opset1">
-			<data special_zero="false" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-			</input>
+		<layer id="3706" name="Constant_16822" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559254" size="8" />
 			<output>
-				<port id="2" precision="I64">
+				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6097" name="Constant_304118" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="258211866" size="4" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3707" name="Constant_16824" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
 			<output>
-				<port id="0" precision="I32">
+				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6098" name="ScatterUpdate_304121" type="ScatterUpdate" version="opset3">
+		<layer id="3708" name="__module.model.gpt_neox.layers.25.attention/aten::slice/Slice_7" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64">
-					<dim>3</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -93059,160 +57569,111 @@
 				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
+				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
-			</input>
-			<output>
 				<port id="4" precision="I64">
-					<dim>3</dim>
+					<dim>1</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="6099" name="Constant_304122" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="302408988" size="24" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+			</input>
 			<output>
-				<port id="0" precision="I64">
-					<dim>3</dim>
+				<port id="5" precision="FP32" names="3237,x2.103">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6100" name="Constant_337862" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886946" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3709" name="Constant_37107_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 1, 1" offset="297559262" size="2" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="FP16">
+					<dim>1</dim>
 					<dim>1</dim>
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-			</output>
-		</layer>
-		<layer id="6101" name="__module.model.gpt_neox.layers.27.attention/aten::slice/Unsqueeze_45" type="Reshape" version="opset1">
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-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
 					<dim>1</dim>
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-			<output>
-				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6102" name="ScatterUpdate_304123" type="ScatterUpdate" version="opset3">
+		<layer id="3710" name="Constant_37107" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
-				<port id="0" precision="I64">
-					<dim>3</dim>
-				</port>
-				<port id="1" precision="I64">
+				<port id="0" precision="FP16">
+					<dim>1</dim>
 					<dim>1</dim>
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-				<port id="2" precision="I64">
 					<dim>1</dim>
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-				<port id="3" precision="I32">
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
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-					<dim>3</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="6103" name="Constant_304126" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I64">
-					<dim>3</dim>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6104" name="__module.model.gpt_neox.layers.27.attention/aten::slice/Slice_12" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 0" end_mask="1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="3711" name="__module.model.gpt_neox.layers.25.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="BOOL">
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="FP32">
 					<dim>1</dim>
 					<dim>1</dim>
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-					<dim>2048</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>3</dim>
-				</port>
-				<port id="2" precision="I64">
-					<dim>3</dim>
-				</port>
-				<port id="3" precision="I64">
-					<dim>3</dim>
-				</port>
-			</input>
-			<output>
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 					<dim>1</dim>
 					<dim>1</dim>
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-					<dim>2048</dim>
 				</port>
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-		</layer>
-		<layer id="6105" name="Constant_304199" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559106" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+			</input>
 			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="FP32" names="3238">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6106" name="Constant_304200" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559106" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3712" name="Constant_16717" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6107" name="Constant_304196" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886962" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3713" name="Constant_16761" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559246" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6108" name="Constant_304195" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3714" name="Constant_16763" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
 			<output>
-				<port id="0" precision="I32">
+				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6109" name="ScatterUpdate_304201" type="ScatterUpdate" version="opset3">
+		<layer id="3715" name="__module.model.gpt_neox.layers.25.attention/aten::slice/Slice_8" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -93220,212 +57681,165 @@
 				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
+				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
-			</input>
-			<output>
 				<port id="4" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="6110" name="Constant_304204" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559170" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+			</input>
 			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="5" precision="FP32" names="3232">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6111" name="__module.model.gpt_neox.layers.27.attention/aten::slice/Slice_13" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="3716" name="__module.model.gpt_neox.layers.25.attention/aten::cat/Concat_2" type="Concat" version="opset1">
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+		<layer id="3723" name="Constant_52709" type="Const" version="opset1">
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+		<layer id="3724" name="Constant_52711" type="Const" version="opset1">
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 		</layer>
-		<layer id="6124" name="__module.model.gpt_neox.layers.27.attention/prim::ListConstruct/Concat_1" type="Concat" version="opset1">
+		<layer id="3725" name="Concat_52712" type="Concat" version="opset1">
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 			<input>
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@@ -93442,42 +57856,333 @@
 				</port>
 			</input>
 			<output>
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+				<port id="4" precision="I64">
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 			</output>
 		</layer>
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+		<layer id="3726" name="Broadcast_52715" type="Broadcast" version="opset3">
+			<data mode="numpy" />
 			<input>
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+					<dim>80</dim>
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+		<layer id="3727" name="ReadValue_49808" type="ReadValue" version="opset6">
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 				<port id="0" precision="I64">
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 			<output>
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+				<port id="3" precision="I64">
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+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="5" precision="FP32" names="3255">
 					<dim>-1</dim>
 					<dim>1</dim>
 					<dim>-1</dim>
@@ -93485,7 +58190,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6127" name="__module.model.gpt_neox.layers.27.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+		<layer id="3749" name="__module.model.gpt_neox.layers.25.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
 			<data causal="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -93514,7 +58219,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4443,4444,sdpa_result.55,tensor.109">
+				<port id="4" precision="FP32" names="3256,attn_output.201">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -93522,15 +58227,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6128" name="Constant_16378" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559202" size="32" />
+		<layer id="3750" name="__module.model.gpt_neox.layers.25.attention/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="297559312" size="16" />
 			<output>
-				<port id="0" precision="I64" names="4445">
+				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6129" name="__module.model.gpt_neox.layers.27.attention/aten::permute/Transpose_3" type="Transpose" version="opset1">
+		<layer id="3751" name="__module.model.gpt_neox.layers.25.attention/aten::transpose/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -93538,12 +58243,12 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4446">
+				<port id="2" precision="FP32" names="3257">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
@@ -93551,8 +58256,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6130" name="__module.model.gpt_neox.layers.27.attention/prim::ListConstruct/Concat_2" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="302409066" size="24" />
+		<layer id="3752" name="Constant_40560" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="297559328" size="24" />
 			<rt_info>
 				<attribute name="precise" version="0" />
 			</rt_info>
@@ -93562,7 +58267,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6131" name="__module.model.gpt_neox.layers.27.attention/aten::view/Reshape_1" type="Reshape" version="opset1">
+		<layer id="3753" name="__module.model.gpt_neox.layers.25.attention/aten::view/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -93576,23 +58281,23 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4451">
+				<port id="2" precision="FP32" names="3260">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6132" name="self.model.gpt_neox.layers.27.attention.dense.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="2560, 2560" offset="4550939010" size="13107200" />
+		<layer id="3754" name="self.model.gpt_neox.layers.25.attention.dense.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="2560, 2560" offset="4231383352" size="13107200" />
 			<output>
-				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.27.attention.dense.weight">
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.25.attention.dense.weight">
 					<dim>2560</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6133" name="self.model.gpt_neox.layers.27.attention.dense.weight" type="Convert" version="opset1">
+		<layer id="3755" name="self.model.gpt_neox.layers.25.attention.dense.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -93610,7 +58315,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6134" name="__module.model.gpt_neox.layers.27.attention.dense/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="3756" name="__module.model.gpt_neox.layers.25.attention.dense/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -93631,8 +58336,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6135" name="Constant_325466_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 2560" offset="4564046210" size="5120" />
+		<layer id="3757" name="Constant_37108_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 2560" offset="4244490552" size="5120" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -93641,7 +58346,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6136" name="Constant_325466" type="Convert" version="opset1">
+		<layer id="3758" name="Constant_37108" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -93661,7 +58366,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6137" name="__module.model.gpt_neox.layers.27.attention.dense/aten::linear/Add" type="Add" version="opset1">
+		<layer id="3759" name="__module.model.gpt_neox.layers.25.attention.dense/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -93676,14 +58381,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4454,4456,input.111">
+				<port id="2" precision="FP32" names="3263,3265,input.101">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6138" name="__module.model.gpt_neox.layers.27/aten::add/Add" type="Add" version="opset1">
+		<layer id="3760" name="__module.model.gpt_neox.layers.25/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -93698,14 +58403,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4460,attn_output.111">
+				<port id="2" precision="FP32" names="3269,attn_output.207">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6139" name="__module.model.gpt_neox.layers.27.post_attention_layernorm/aten::layer_norm/Constant" type="Const" version="opset1">
+		<layer id="3761" name="__module.model.gpt_neox.layers.25.post_attention_layernorm/aten::layer_norm/Multiply" type="Const" version="opset1">
 			<data element_type="i32" shape="1" offset="258211870" size="4" />
 			<output>
 				<port id="0" precision="I32">
@@ -93713,7 +58418,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6140" name="__module.model.gpt_neox.layers.27.post_attention_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
+		<layer id="3762" name="__module.model.gpt_neox.layers.25.post_attention_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -93733,8 +58438,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6141" name="Constant_325467_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 2560" offset="4564051330" size="5120" />
+		<layer id="3763" name="Constant_37109_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 2560" offset="4244495672" size="5120" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -93743,7 +58448,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6142" name="Constant_325467" type="Convert" version="opset1">
+		<layer id="3764" name="Constant_37109" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -93763,7 +58468,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6143" name="__module.model.gpt_neox.layers.27.post_attention_layernorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
+		<layer id="3765" name="__module.model.gpt_neox.layers.25.post_attention_layernorm/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -93785,8 +58490,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6144" name="Constant_325468_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 2560" offset="4564056450" size="5120" />
+		<layer id="3766" name="Constant_37110_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 2560" offset="4244500792" size="5120" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -93795,7 +58500,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6145" name="Constant_325468" type="Convert" version="opset1">
+		<layer id="3767" name="Constant_37110" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -93815,7 +58520,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6146" name="__module.model.gpt_neox.layers.27.post_attention_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="3768" name="__module.model.gpt_neox.layers.25.post_attention_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -93830,23 +58535,23 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4464">
+				<port id="2" precision="FP32" names="3273">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6147" name="self.model.gpt_neox.layers.27.mlp.dense_h_to_4h.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="10240, 2560" offset="4564061570" size="52428800" />
+		<layer id="3769" name="self.model.gpt_neox.layers.25.mlp.dense_h_to_4h.weight" type="Const" version="opset1">
+			<data element_type="f16" shape="10240, 2560" offset="4244505912" size="52428800" />
 			<output>
-				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.27.mlp.dense_h_to_4h.weight">
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.25.mlp.dense_h_to_4h.weight">
 					<dim>10240</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6148" name="self.model.gpt_neox.layers.27.mlp.dense_h_to_4h.weight" type="Convert" version="opset1">
+		<layer id="3770" name="__module.model.gpt_neox.layers.25.mlp.dense_h_to_4h/ov_ext::linear/ConvertLike" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -93864,7 +58569,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6149" name="__module.model.gpt_neox.layers.27.mlp.dense_h_to_4h/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="3771" name="__module.model.gpt_neox.layers.25.mlp.dense_h_to_4h/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -93885,37 +58590,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6150" name="Constant_325469_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 10240" offset="4616490370" size="20480" />
+		<layer id="3772" name="self.model.gpt_neox.layers.25.mlp.dense_h_to_4h.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="10240" offset="4296934712" size="20480" />
 			<output>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.25.mlp.dense_h_to_4h.bias">
 					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6151" name="Constant_325469" type="Convert" version="opset1">
+		<layer id="3773" name="__module.model.gpt_neox.layers.25.mlp.dense_h_to_4h/ov_ext::linear/ConvertLike_1" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>10240</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6152" name="__module.model.gpt_neox.layers.27.mlp.dense_h_to_4h/aten::linear/Add" type="Add" version="opset1">
+		<layer id="3774" name="__module.model.gpt_neox.layers.25.mlp.dense_h_to_4h/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -93924,20 +58623,18 @@
 					<dim>10240</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>10240</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4469">
+				<port id="2" precision="FP32" names="3278">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6153" name="__module.model.gpt_neox.layers.27.mlp.act/aten::gelu/Gelu" type="Gelu" version="opset7">
+		<layer id="3775" name="__module.model.gpt_neox.layers.25.mlp.act/aten::gelu/Gelu" type="Gelu" version="opset7">
 			<data approximation_mode="ERF" />
 			<input>
 				<port id="0" precision="FP32">
@@ -93947,23 +58644,23 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="4470">
+				<port id="1" precision="FP32" names="3279">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6154" name="self.model.gpt_neox.layers.27.mlp.dense_4h_to_h.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="2560, 10240" offset="4616510850" size="52428800" />
+		<layer id="3776" name="self.model.gpt_neox.layers.25.mlp.dense_4h_to_h.weight" type="Const" version="opset1">
+			<data element_type="f16" shape="2560, 10240" offset="4296955192" size="52428800" />
 			<output>
-				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.27.mlp.dense_4h_to_h.weight">
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.25.mlp.dense_4h_to_h.weight">
 					<dim>2560</dim>
 					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6155" name="self.model.gpt_neox.layers.27.mlp.dense_4h_to_h.weight" type="Convert" version="opset1">
+		<layer id="3777" name="__module.model.gpt_neox.layers.25.mlp.dense_4h_to_h/ov_ext::linear/ConvertLike" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -93981,7 +58678,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6156" name="__module.model.gpt_neox.layers.27.mlp.dense_4h_to_h/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="3778" name="__module.model.gpt_neox.layers.25.mlp.dense_4h_to_h/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -94002,37 +58699,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6157" name="Constant_325470_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 2560" offset="4668939650" size="5120" />
+		<layer id="3779" name="self.model.gpt_neox.layers.25.mlp.dense_4h_to_h.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="2560" offset="4349383992" size="5120" />
 			<output>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.25.mlp.dense_4h_to_h.bias">
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6158" name="Constant_325470" type="Convert" version="opset1">
+		<layer id="3780" name="__module.model.gpt_neox.layers.25.mlp.dense_4h_to_h/ov_ext::linear/ConvertLike_1" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6159" name="__module.model.gpt_neox.layers.27.mlp.dense_4h_to_h/aten::linear/Add" type="Add" version="opset1">
+		<layer id="3781" name="__module.model.gpt_neox.layers.25.mlp.dense_4h_to_h/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -94041,20 +58732,18 @@
 					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP32">
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-					<dim>1</dim>
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 			</input>
 			<output>
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+				<port id="2" precision="FP32" names="3282,input.103">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
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 		</layer>
-		<layer id="6160" name="__module.model.gpt_neox.layers.27/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="3782" name="__module.model.gpt_neox.layers.25/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -94069,14 +58758,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4475,4477,hidden_states.57">
+				<port id="2" precision="FP32" names="3284,3286,hidden_states.107">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
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 			</output>
 		</layer>
-		<layer id="6161" name="__module.model.gpt_neox.layers.28.input_layernorm/aten::layer_norm/Constant" type="Const" version="opset1">
+		<layer id="3783" name="__module.model.gpt_neox.layers.26.input_layernorm/aten::layer_norm/Multiply" type="Const" version="opset1">
 			<data element_type="i32" shape="1" offset="258211870" size="4" />
 			<output>
 				<port id="0" precision="I32">
@@ -94084,7 +58773,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6162" name="__module.model.gpt_neox.layers.28.input_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
+		<layer id="3784" name="__module.model.gpt_neox.layers.26.input_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -94104,8 +58793,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6163" name="Constant_325471_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 2560" offset="4668944770" size="5120" />
+		<layer id="3785" name="Constant_37111_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 2560" offset="4349389112" size="5120" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -94114,7 +58803,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6164" name="Constant_325471" type="Convert" version="opset1">
+		<layer id="3786" name="Constant_37111" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -94134,7 +58823,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6165" name="__module.model.gpt_neox.layers.28.input_layernorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
+		<layer id="3787" name="__module.model.gpt_neox.layers.26.input_layernorm/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -94156,8 +58845,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6166" name="Constant_325472_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 2560" offset="4668949890" size="5120" />
+		<layer id="3788" name="Constant_37112_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 2560" offset="4349394232" size="5120" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -94166,7 +58855,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6167" name="Constant_325472" type="Convert" version="opset1">
+		<layer id="3789" name="Constant_37112" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -94186,7 +58875,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6168" name="__module.model.gpt_neox.layers.28.input_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="3790" name="__module.model.gpt_neox.layers.26.input_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -94201,23 +58890,23 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4487">
+				<port id="2" precision="FP32" names="3296,hidden_states.105">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6169" name="self.model.gpt_neox.layers.28.attention.query_key_value.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="7680, 2560" offset="4668955010" size="39321600" />
+		<layer id="3791" name="self.model.gpt_neox.layers.26.attention.query_key_value.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="7680, 2560" offset="4349399352" size="39321600" />
 			<output>
-				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.28.attention.query_key_value.weight">
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.26.attention.query_key_value.weight">
 					<dim>7680</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6170" name="self.model.gpt_neox.layers.28.attention.query_key_value.weight" type="Convert" version="opset1">
+		<layer id="3792" name="self.model.gpt_neox.layers.26.attention.query_key_value.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -94235,7 +58924,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6171" name="__module.model.gpt_neox.layers.28.attention.query_key_value/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="3793" name="__module.model.gpt_neox.layers.26.attention.query_key_value/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -94256,8 +58945,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6172" name="Constant_325473_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 7680" offset="4708276610" size="15360" />
+		<layer id="3794" name="Constant_37113_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 7680" offset="4388720952" size="15360" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -94266,7 +58955,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6173" name="Constant_325473" type="Convert" version="opset1">
+		<layer id="3795" name="Constant_37113" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -94286,7 +58975,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6174" name="__module.model.gpt_neox.layers.28.attention.query_key_value/aten::linear/Add" type="Add" version="opset1">
+		<layer id="3796" name="__module.model.gpt_neox.layers.26.attention.query_key_value/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -94301,14 +58990,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4494,qkv.113">
+				<port id="2" precision="FP32" names="3303,qkv.105">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>7680</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6175" name="__module.model.gpt_neox.layers.28.attention/prim::ListConstruct/Concat" type="Const" version="opset1">
+		<layer id="3797" name="__module.model.gpt_neox.layers.26.attention/prim::ListConstruct" type="Const" version="opset1">
 			<data element_type="i64" shape="4" offset="297559074" size="32" />
 			<rt_info>
 				<attribute name="precise" version="0" />
@@ -94319,7 +59008,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6176" name="__module.model.gpt_neox.layers.28.attention/aten::view/Reshape" type="Reshape" version="opset1">
+		<layer id="3798" name="__module.model.gpt_neox.layers.26.attention/aten::view/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -94332,7 +59021,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4498,qkv.115">
+				<port id="2" precision="FP32" names="3307,qkv.107">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
@@ -94340,41 +59029,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6177" name="Constant_304211" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559106" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3799" name="Constant_17095" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6178" name="Constant_304214" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559138" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3800" name="Constant_17097" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="18" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6179" name="Constant_304217" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559170" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3801" name="Constant_17099" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6180" name="__module.model.gpt_neox.layers.28.attention/aten::slice/Slice" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="3802" name="__module.model.gpt_neox.layers.26.attention/aten::slice/Slice" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -94383,17 +59062,20 @@
 					<dim>240</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4499">
+				<port id="5" precision="FP32" names="3308">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
@@ -94401,15 +59083,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6181" name="Constant_16490" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559202" size="32" />
+		<layer id="3803" name="Constant_17108" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="297559122" size="32" />
 			<output>
-				<port id="0" precision="I64" names="4500">
+				<port id="0" precision="I64" names="3309">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6182" name="__module.model.gpt_neox.layers.28.attention/aten::permute/Transpose" type="Transpose" version="opset1">
+		<layer id="3804" name="__module.model.gpt_neox.layers.26.attention/aten::permute/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -94422,7 +59104,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4501,query.169">
+				<port id="2" precision="FP32" names="3310,query.53">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -94430,41 +59112,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6183" name="Constant_304223" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559106" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3805" name="Constant_17149" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6184" name="Constant_304226" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559138" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3806" name="Constant_17151" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="18" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6185" name="Constant_304229" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559170" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3807" name="Constant_17153" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6186" name="__module.model.gpt_neox.layers.28.attention/aten::slice/Slice_1" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="3808" name="__module.model.gpt_neox.layers.26.attention/aten::slice/Slice_1" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -94473,183 +59145,300 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="5" precision="FP32" names="3317,q.53">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3809" name="__module.model.gpt_neox.layers.26.attention/aten::mul/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="3323">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3810" name="Constant_17307" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559246" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3811" name="Constant_17309" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559254" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3812" name="Constant_17311" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3813" name="__module.model.gpt_neox.layers.26.attention/aten::slice/Slice_2" type="Slice" version="opset8">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4508,q.57">
+				<port id="5" precision="FP32" names="3333,x2.105">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
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-					<dim>80</dim>
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+					<dim>1</dim>
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 		</layer>
-		<layer id="6188" name="self.model.gpt_neox.layers.28.attention.rotary_emb.cos_cached" type="Convert" version="opset1">
+		<layer id="3815" name="Constant_37114" type="Convert" version="opset1">
 			<data destination_type="f32" />
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 				<attribute name="decompression" version="0" />
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 				<port id="0" precision="FP16">
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 				<port id="1" precision="FP32">
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-					<dim>80</dim>
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 		</layer>
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-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I64">
+		<layer id="3816" name="__module.model.gpt_neox.layers.26.attention/aten::neg/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
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+				<port id="0" precision="FP32">
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 			<output>
 				<port id="0" precision="I64">
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 		</layer>
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-				<attribute name="precise" version="0" />
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+		<layer id="3818" name="Constant_17248" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="I64">
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 		</layer>
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-				<attribute name="precise" version="0" />
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+		<layer id="3819" name="Constant_17250" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="I64">
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 		</layer>
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-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="3820" name="__module.model.gpt_neox.layers.26.attention/aten::slice/Slice_3" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
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 					<dim>-1</dim>
 					<dim>32</dim>
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+					<dim>1</dim>
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 				</port>
 			</input>
 			<output>
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+				<port id="5" precision="FP32" names="3328">
 					<dim>-1</dim>
 					<dim>32</dim>
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+					<dim>-1</dim>
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 				</port>
 			</output>
 		</layer>
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-			<data output_type="i64" />
+		<layer id="3821" name="__module.model.gpt_neox.layers.26.attention/aten::cat/Concat" type="Concat" version="opset1">
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 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
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+					<dim>40</dim>
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+				<port id="1" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
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+					<dim>-1</dim>
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 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="FP32" names="3336">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
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-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I64">
+		<layer id="3822" name="__module.model.gpt_neox.layers.26.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
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+					<dim>80</dim>
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+				<port id="1" precision="FP32">
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 					<dim>1</dim>
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+					<dim>80</dim>
 				</port>
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-		<layer id="6196" name="Constant_340459" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="2" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+			</input>
 			<output>
-				<port id="0" precision="I64" />
+				<port id="2" precision="FP32" names="3337">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
 			</output>
 		</layer>
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-			<data batch_dims="0" />
+		<layer id="3823" name="__module.model.gpt_neox.layers.26.attention/aten::add/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="I64">
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+				<port id="0" precision="FP32">
+					<dim>-1</dim>
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+					<dim>80</dim>
 				</port>
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+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
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 			</input>
 			<output>
-				<port id="3" precision="I64" names="4512">
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="3338,3356">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6198" name="Constant_433366_compressed" type="Const" version="opset1">
+		<layer id="3824" name="Constant_52726_compressed" type="Const" version="opset1">
 			<data element_type="f16" shape="" offset="0" size="2" />
 			<output>
 				<port id="0" precision="FP16" />
 			</output>
 		</layer>
-		<layer id="6199" name="Constant_433366" type="Convert" version="opset1">
+		<layer id="3825" name="Constant_52726" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -94661,7 +59450,7 @@
 				<port id="1" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="6200" name="Constant_433359" type="Const" version="opset1">
+		<layer id="3826" name="Constant_52719" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="10" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -94669,7 +59458,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6201" name="Constant_433361" type="Const" version="opset1">
+		<layer id="3827" name="Constant_52721" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -94677,7 +59466,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6202" name="Constant_433363" type="Const" version="opset1">
+		<layer id="3828" name="Constant_52723" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="18" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -94685,7 +59474,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6203" name="Concat_433364" type="Concat" version="opset1">
+		<layer id="3829" name="Concat_52724" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -94707,7 +59496,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6204" name="Broadcast_433367" type="Broadcast" version="opset3">
+		<layer id="3830" name="Broadcast_52727" type="Broadcast" version="opset3">
 			<data mode="numpy" />
 			<input>
 				<port id="0" precision="FP32" />
@@ -94724,8 +59513,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6205" name="ReadValue_417366" type="ReadValue" version="opset6">
-			<data variable_id="past_key_values.28.keypresent.28.key" variable_type="f32" variable_shape="?,32,?,80" />
+		<layer id="3831" name="ReadValue_49810" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.26.keypresent.26.key" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -94735,7 +59524,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="past_key_values.28.key">
+				<port id="1" precision="FP32" names="past_key_values.26.key">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -94743,13 +59532,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6206" name="Constant_402058" type="Const" version="opset1">
+		<layer id="3832" name="Constant_47485" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="6207" name="Gather_402059" type="Gather" version="opset8">
+		<layer id="3833" name="Gather_47486" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
@@ -94772,110 +59561,119 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6208" name="ShapeOf_340462" type="ShapeOf" version="opset3">
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-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-			</input>
+		<layer id="3834" name="Constant_17113" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="18" size="8" />
 			<output>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="I64">
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 				</port>
 			</output>
 		</layer>
-		<layer id="6209" name="Constant_340463" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3835" name="Constant_17115" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559264" size="8" />
 			<output>
-				<port id="0" precision="I64" />
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="6210" name="Constant_340464" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="2" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3836" name="Constant_17117" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
 			<output>
-				<port id="0" precision="I64" />
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="6211" name="Gather_340465" type="Gather" version="opset8">
-			<data batch_dims="0" />
+		<layer id="3837" name="__module.model.gpt_neox.layers.26.attention/aten::slice/Slice_5" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="FP32">
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+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>240</dim>
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+				<port id="1" precision="I64">
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+				<port id="2" precision="I64">
+					<dim>1</dim>
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+				<port id="3" precision="I64">
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+				<port id="4" precision="I64">
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 				</port>
-				<port id="1" precision="I64" />
-				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="4514" />
+				<port id="5" precision="FP32" names="3311">
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+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>80</dim>
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 			</output>
 		</layer>
-		<layer id="6212" name="Constant_337864" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3838" name="Constant_17126" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="297559122" size="32" />
 			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
+				<port id="0" precision="I64" names="3312">
+					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6213" name="Reshape_340961" type="Reshape" version="opset1">
-			<data special_zero="false" />
+		<layer id="3839" name="__module.model.gpt_neox.layers.26.attention/aten::permute/Transpose_1" type="Transpose" version="opset1">
 			<input>
-				<port id="0" precision="I64" />
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>80</dim>
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 				<port id="1" precision="I64">
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 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64">
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="3313,key.105">
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+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
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-			<data auto_broadcast="numpy" />
-			<input>
+		<layer id="3840" name="Constant_17169" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
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 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-			</input>
+			</output>
+		</layer>
+		<layer id="3841" name="Constant_17171" type="Const" version="opset1">
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 			<output>
-				<port id="2" precision="I64" names="4513,4517,4518,seq_len.113">
+				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-				<attribute name="precise" version="0" />
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+		<layer id="3842" name="Constant_17173" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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+		<layer id="3843" name="__module.model.gpt_neox.layers.26.attention/aten::slice/Slice_6" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
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+					<dim>32</dim>
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 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
@@ -94887,108 +59685,181 @@
 				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4521,4524,cos.113">
+				<port id="5" precision="FP32" names="3319,k.53">
+					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6217" name="Constant_38395" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="I32" />
-			</output>
-		</layer>
-		<layer id="6218" name="__module.model.gpt_neox.layers.28.attention/aten::index/Gather" type="Gather" version="opset8">
-			<data batch_dims="0" />
+		<layer id="3844" name="__module.model.gpt_neox.layers.26.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I32">
+				<port id="1" precision="FP32">
 					<dim>-1</dim>
+					<dim>1</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-				<port id="2" precision="I32" />
 			</input>
 			<output>
-				<port id="3" precision="FP32" names="4527">
+				<port id="2" precision="FP32" names="3339">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6219" name="__module.model.gpt_neox.layers.28.attention/aten::unsqueeze/Unsqueeze" type="Unsqueeze" version="opset1">
+		<layer id="3845" name="Constant_17450" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559246" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3846" name="Constant_17452" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559254" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3847" name="Constant_17454" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3848" name="__module.model.gpt_neox.layers.26.attention/aten::slice/Slice_7" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64" />
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4528,cos.115">
+				<port id="5" precision="FP32" names="3349,x2.107">
 					<dim>-1</dim>
-					<dim>1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3849" name="Constant_37115_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 1, 1" offset="297559262" size="2" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3850" name="Constant_37115" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6220" name="__module.model.gpt_neox.layers.28.attention/aten::mul/Multiply" type="Multiply" version="opset1">
+		<layer id="3851" name="__module.model.gpt_neox.layers.26.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
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 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
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 				<port id="1" precision="FP32">
-					<dim>-1</dim>
 					<dim>1</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4532">
+				<port id="2" precision="FP32" names="3350">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
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-			<data element_type="i64" shape="4" offset="297559106" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3852" name="Constant_17347" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6222" name="Constant_304245" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886962" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3853" name="Constant_17391" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559246" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-			<data output_type="i64" />
+		<layer id="3854" name="Constant_17393" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3855" name="__module.model.gpt_neox.layers.26.attention/aten::slice/Slice_8" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -94996,93 +59867,175 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="5" precision="FP32" names="3344">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6224" name="__module.model.gpt_neox.layers.28.attention/aten::size/Constant_5" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="258211866" size="4" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3856" name="__module.model.gpt_neox.layers.26.attention/aten::cat/Concat_2" type="Concat" version="opset1">
+			<data axis="-1" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="I32" />
+				<port id="2" precision="FP32" names="3352">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="6225" name="__module.model.gpt_neox.layers.28.attention/aten::size/Gather_5" type="Gather" version="opset8">
-			<data batch_dims="0" />
+		<layer id="3857" name="__module.model.gpt_neox.layers.26.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64" />
-				<port id="2" precision="I32" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="4533,4538" />
+				<port id="2" precision="FP32" names="3353">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
 			</output>
 		</layer>
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-			<data auto_broadcast="numpy" m_pythondiv="true" />
+		<layer id="3858" name="__module.model.gpt_neox.layers.26.attention/aten::add/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64" />
+				<port id="2" precision="FP32" names="3354,3358">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="6227" name="__module.model.gpt_neox.layers.28.attention/aten::floor_divide/Floor_1" type="Floor" version="opset1">
+		<layer id="3859" name="__module.model.gpt_neox.layers.26.attention/aten::cat/Concat_4" type="Concat" version="opset1">
+			<data axis="-2" />
 			<input>
-				<port id="0" precision="I64" />
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="4535,4536,4540,4541" />
+				<port id="2" precision="FP32" names="present.26.key">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3860" name="Constant_52738_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="" offset="0" size="2" />
+			<output>
+				<port id="0" precision="FP16" />
 			</output>
 		</layer>
-		<layer id="6228" name="Constant_337866" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886946" size="8" />
+		<layer id="3861" name="Constant_52738" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="precise" version="0" />
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16" />
+			</input>
+			<output>
+				<port id="1" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="3862" name="Constant_52731" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-			</input>
+		<layer id="3863" name="Constant_52733" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
-				<port id="2" precision="I64">
+				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3864" name="Constant_52735" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="18" size="8" />
 			<output>
-				<port id="0" precision="I32">
+				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6231" name="ScatterUpdate_304247" type="ScatterUpdate" version="opset3">
+		<layer id="3865" name="Concat_52736" type="Concat" version="opset1">
+			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -95090,7 +60043,7 @@
 				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
+				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
 			</input>
@@ -95100,30 +60053,50 @@
 				</port>
 			</output>
 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3866" name="Broadcast_52739" type="Broadcast" version="opset3">
+			<data mode="numpy" />
+			<input>
+				<port id="0" precision="FP32" />
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>0</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3867" name="ReadValue_49812" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.26.valuepresent.26.value" variable_type="f32" variable_shape="?,32,?,80" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>0</dim>
+					<dim>80</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32" names="past_key_values.26.value">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6233" name="Constant_304253" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3868" name="Constant_47488" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="2" size="8" />
 			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
+				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="6234" name="__module.model.gpt_neox.layers.28.attention/aten::slice/Slice_3" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="3869" name="Gather_47489" type="Gather" version="opset8">
+			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -95131,151 +60104,121 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
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-				<port id="2" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="3" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="I32">
+					<dim>-1</dim>
 				</port>
+				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4542,x2.113">
+				<port id="3" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>40</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6235" name="Constant_325474_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 1, 1" offset="297887002" size="2" />
+		<layer id="3870" name="Constant_17131" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559264" size="8" />
 			<output>
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 			</output>
 		</layer>
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-			<input>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+		<layer id="3871" name="Constant_17133" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559254" size="8" />
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+				<port id="0" precision="I64">
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 				</port>
-			</input>
+			</output>
+		</layer>
+		<layer id="3872" name="Constant_17135" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
 			<output>
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-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="I64">
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 				</port>
 			</output>
 		</layer>
-		<layer id="6237" name="__module.model.gpt_neox.layers.28.attention/aten::neg/Multiply" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="3873" name="__module.model.gpt_neox.layers.26.attention/aten::slice/Slice_10" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
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 					<dim>-1</dim>
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+					<dim>240</dim>
 				</port>
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+				<port id="1" precision="I64">
 					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
 					<dim>1</dim>
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+				<port id="3" precision="I64">
 					<dim>1</dim>
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+				<port id="4" precision="I64">
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 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4543">
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 					<dim>-1</dim>
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 					<dim>-1</dim>
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-				<attribute name="precise" version="0" />
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-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>32</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6239" name="Constant_304303" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3874" name="Constant_17144" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="297559122" size="32" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I64" names="3315">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
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-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="3875" name="__module.model.gpt_neox.layers.26.attention/aten::permute/Transpose_2" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>4</dim>
 				</port>
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-				<port id="3" precision="I64">
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-				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4537">
+				<port id="2" precision="FP32" names="3316">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>40</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6241" name="__module.model.gpt_neox.layers.28.attention/aten::cat/Concat" type="Concat" version="opset1">
-			<data axis="-1" />
+		<layer id="3876" name="__module.model.gpt_neox.layers.26.attention/aten::cat/Concat_5" type="Concat" version="opset1">
+			<data axis="-2" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>40</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>40</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4545">
+				<port id="2" precision="FP32" names="present.26.value">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -95283,142 +60226,192 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6242" name="self.model.gpt_neox.layers.28.attention.rotary_emb.sin_cached_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="2048, 80" offset="297887004" size="327680" />
+		<layer id="3877" name="Constant_17526" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
-				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.28.attention.rotary_emb.sin_cached">
-					<dim>2048</dim>
-					<dim>80</dim>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6243" name="self.model.gpt_neox.layers.28.attention.rotary_emb.sin_cached" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
+		<layer id="3878" name="ShapeOf_40097" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
 			<input>
-				<port id="0" precision="FP16">
-					<dim>2048</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
-					<dim>2048</dim>
-					<dim>80</dim>
+				<port id="1" precision="I64">
+					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6244" name="__module.model.gpt_neox.layers.28.attention.rotary_emb/aten::slice/Unsqueeze_4" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="2" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3879" name="Constant_40098" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559280" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6245" name="__module.model.gpt_neox.layers.28.attention.rotary_emb/aten::slice/Unsqueeze_6" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886946" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3880" name="Constant_40099" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="2" size="8" />
 			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="3881" name="Gather_40100" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
 				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64" />
+			</input>
+			<output>
+				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6246" name="__module.model.gpt_neox.layers.28.attention.rotary_emb/aten::slice/Slice_1" type="StridedSlice" version="opset1">
-			<data begin_mask="0" end_mask="0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="3882" name="ShapeOf_40101" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>2048</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
+			</input>
+			<output>
 				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3883" name="Constant_40102" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559280" size="8" />
+			<output>
+				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="2" precision="I64">
+			</output>
+		</layer>
+		<layer id="3884" name="Constant_40103" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="2" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="3885" name="Gather_40104" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+				<port id="1" precision="I64">
 					<dim>1</dim>
 				</port>
+				<port id="2" precision="I64" />
+			</input>
+			<output>
 				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
+			</output>
+		</layer>
+		<layer id="3886" name="Add_40105" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4522,4525,sin.113">
-					<dim>-1</dim>
-					<dim>80</dim>
+				<port id="2" precision="I64" names="3363">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6247" name="Constant_38398" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="258211866" size="4" />
+		<layer id="3887" name="Constant_17529" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
 			<output>
-				<port id="0" precision="I32" />
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="6248" name="__module.model.gpt_neox.layers.28.attention/aten::index/Gather_1" type="Gather" version="opset8">
-			<data batch_dims="0" />
+		<layer id="3888" name="__module.model.gpt_neox.layers.26.attention/aten::slice/Slice_14" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-				<port id="1" precision="I32">
+					<dim>1</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
-				<port id="2" precision="I32" />
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
 			</input>
 			<output>
-				<port id="3" precision="FP32" names="4530">
+				<port id="5" precision="FP32" names="3367">
+					<dim>-1</dim>
+					<dim>1</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6249" name="__module.model.gpt_neox.layers.28.attention/aten::unsqueeze/Unsqueeze_1" type="Unsqueeze" version="opset1">
+		<layer id="3889" name="__module.model.gpt_neox.layers.26.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+			<data causal="false" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64" />
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="4531,sin.115">
+				<port id="1" precision="FP32">
 					<dim>-1</dim>
-					<dim>1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="6250" name="__module.model.gpt_neox.layers.28.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="FP32">
+				<port id="3" precision="FP32">
 					<dim>-1</dim>
 					<dim>1</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>-1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4546">
+				<port id="4" precision="FP32" names="3368,attn_output.209">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -95426,8 +60419,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6251" name="__module.model.gpt_neox.layers.28.attention/aten::add/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="3890" name="__module.model.gpt_neox.layers.26.attention/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="297559312" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3891" name="__module.model.gpt_neox.layers.26.attention/aten::transpose/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -95435,31 +60435,32 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
+				<port id="1" precision="I32">
+					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4547,4565,4575,query.171,query.173">
+				<port id="2" precision="FP32" names="3369">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6252" name="Constant_16504" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559202" size="32" />
+		<layer id="3892" name="Constant_40561" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="297559328" size="24" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
 			<output>
-				<port id="0" precision="I64" names="4503">
-					<dim>4</dim>
+				<port id="0" precision="I64">
+					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6253" name="__module.model.gpt_neox.layers.28.attention/aten::permute/Transpose_1" type="Transpose" version="opset1">
+		<layer id="3893" name="__module.model.gpt_neox.layers.26.attention/aten::view/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -95468,928 +60469,872 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>3</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4504,key.169">
+				<port id="2" precision="FP32" names="3372">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6254" name="Constant_304349" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559106" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3894" name="self.model.gpt_neox.layers.26.attention.dense.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="2560, 2560" offset="4388736312" size="13107200" />
 			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.26.attention.dense.weight">
+					<dim>2560</dim>
+					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6255" name="Constant_304352" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559138" size="32" />
+		<layer id="3895" name="self.model.gpt_neox.layers.26.attention.dense.weight" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="precise" version="0" />
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>2560</dim>
+					<dim>2560</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>2560</dim>
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3896" name="__module.model.gpt_neox.layers.26.attention.dense/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
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+					<dim>80</dim>
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+					<dim>4</dim>
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 		</layer>
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+		<layer id="3944" name="__module.model.gpt_neox.layers.27.attention/aten::permute/Transpose" type="Transpose" version="opset1">
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 				<port id="0" precision="FP32">
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 					<dim>-1</dim>
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-			<output>
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 			<output>
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+				<port id="2" precision="FP32" names="3422,query.55">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
 			</output>
 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
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+		<layer id="3945" name="Constant_17779" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
-					<dim>1</dim>
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-			</input>
+		<layer id="3946" name="Constant_17781" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="18" size="8" />
 			<output>
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+				<port id="0" precision="I64">
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 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3947" name="Constant_17783" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
 			<output>
-				<port id="0" precision="I32">
+				<port id="0" precision="I64">
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 				</port>
 			</output>
 		</layer>
-		<layer id="6316" name="ScatterUpdate_304472" type="ScatterUpdate" version="opset3">
+		<layer id="3948" name="__module.model.gpt_neox.layers.27.attention/aten::slice/Slice_1" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64">
-					<dim>3</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -96397,56 +61342,78 @@
 				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64">
-					<dim>3</dim>
+				<port id="5" precision="FP32" names="3429,q.55">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3949" name="__module.model.gpt_neox.layers.27.attention/aten::mul/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="I64">
-					<dim>3</dim>
+				<port id="2" precision="FP32" names="3435">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3950" name="Constant_17937" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559246" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-			<data special_zero="false" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
+		<layer id="3951" name="Constant_17939" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559254" size="8" />
+			<output>
+				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
-			</input>
+			</output>
+		</layer>
+		<layer id="3952" name="Constant_17941" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
 			<output>
-				<port id="2" precision="I64">
+				<port id="0" precision="I64">
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 				</port>
 			</output>
 		</layer>
-		<layer id="6320" name="ScatterUpdate_304474" type="ScatterUpdate" version="opset3">
+		<layer id="3953" name="__module.model.gpt_neox.layers.27.attention/aten::slice/Slice_2" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64">
-					<dim>3</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -96454,103 +61421,111 @@
 				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64">
-					<dim>3</dim>
+				<port id="5" precision="FP32" names="3445,x2.109">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6321" name="Constant_304477" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3954" name="Constant_37122_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 1, 1" offset="297559262" size="2" />
 			<output>
-				<port id="0" precision="I64">
-					<dim>3</dim>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6322" name="__module.model.gpt_neox.layers.28.attention/aten::slice/Slice_12" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 0" end_mask="1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="3955" name="Constant_37122" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
-				<port id="0" precision="BOOL">
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
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 					<dim>1</dim>
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-					<dim>2048</dim>
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-				<port id="2" precision="I64">
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-				<port id="3" precision="I64">
-					<dim>3</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="BOOL" names="4585">
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
 					<dim>1</dim>
 					<dim>1</dim>
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 			</output>
 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3956" name="__module.model.gpt_neox.layers.27.attention/aten::neg/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
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+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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+			</input>
 			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="FP32" names="3446">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3957" name="Constant_17834" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3958" name="Constant_17878" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559246" size="8" />
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 				<port id="0" precision="I64">
 					<dim>1</dim>
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 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="3959" name="Constant_17880" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
 			<output>
-				<port id="0" precision="I32">
+				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6327" name="ScatterUpdate_304552" type="ScatterUpdate" version="opset3">
+		<layer id="3960" name="__module.model.gpt_neox.layers.27.attention/aten::slice/Slice_3" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -96558,212 +61533,140 @@
 				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
+				<port id="3" precision="I64">
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+		<layer id="3968" name="Constant_52747" type="Const" version="opset1">
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+		<layer id="3969" name="Concat_52748" type="Concat" version="opset1">
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 			<input>
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@@ -96780,79 +61683,69 @@
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+				<port id="4" precision="I64">
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 		</layer>
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+		<layer id="3970" name="Broadcast_52751" type="Broadcast" version="opset3">
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 		</layer>
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+		<layer id="3971" name="ReadValue_49814" type="ReadValue" version="opset6">
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 			<input>
 				<port id="0" precision="FP32">
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-				<port id="1" precision="FP32">
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="past_key_values.27.key">
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 					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="2" precision="FP32">
+			</output>
+		</layer>
+		<layer id="3972" name="Constant_47491" type="Const" version="opset1">
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+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="3973" name="Gather_47492" type="Gather" version="opset8">
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+				<port id="0" precision="FP32">
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 					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
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-					<dim>-1</dim>
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 			</input>
 			<output>
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+				<port id="3" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -96860,280 +61753,234 @@
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 		</layer>
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-			<data element_type="i64" shape="4" offset="297559202" size="32" />
+		<layer id="3974" name="Constant_17743" type="Const" version="opset1">
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 			<output>
-				<port id="0" precision="I64" names="4594">
-					<dim>4</dim>
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 			</output>
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-				<port id="1" precision="I64">
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-			</input>
+		<layer id="3975" name="Constant_17745" type="Const" version="opset1">
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-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>80</dim>
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 		</layer>
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-				<attribute name="precise" version="0" />
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 			<output>
 				<port id="0" precision="I64">
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 		</layer>
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 					<dim>-1</dim>
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 				<port id="1" precision="I64">
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+					<dim>1</dim>
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+				<port id="4" precision="I64">
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 			</input>
 			<output>
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 					<dim>-1</dim>
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 		</layer>
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-					<dim>2560</dim>
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+		<layer id="3978" name="Constant_17756" type="Const" version="opset1">
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 			<output>
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-					<dim>2560</dim>
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 			</output>
 		</layer>
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+		<layer id="3979" name="__module.model.gpt_neox.layers.27.attention/aten::permute/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
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 					<dim>-1</dim>
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-					<dim>2560</dim>
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 			<output>
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@@ -97768,738 +62611,635 @@
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@@ -98810,7 +63488,7 @@
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 			<output>
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 					<dim>32</dim>
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@@ -98818,41 +63496,31 @@
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 				<port id="0" precision="I64">
-					<dim>4</dim>
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 			</output>
 		</layer>
-		<layer id="6475" name="__module.model.gpt_neox.layers.29.attention/aten::slice/Slice_6" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="4088" name="__module.model.gpt_neox.layers.28.attention/aten::slice/Slice_1" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -98861,17 +63529,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4659,k.59">
+				<port id="5" precision="FP32" names="3541,q.57">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -98879,7 +63550,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6476" name="__module.model.gpt_neox.layers.29.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
+		<layer id="4089" name="__module.model.gpt_neox.layers.28.attention/aten::mul/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -98896,7 +63567,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4697">
+				<port id="2" precision="FP32" names="3547">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -98904,165 +63575,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6477" name="Constant_304710" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
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-			<output>
-				<port id="0" precision="I64">
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-			</output>
-		</layer>
-		<layer id="6478" name="Constant_304709" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886962" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="4090" name="Constant_18567" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559246" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6479" name="__module.model.gpt_neox.layers.29.attention/aten::size/ShapeOf_7" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
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-			</input>
-			<output>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="6480" name="__module.model.gpt_neox.layers.29.attention/aten::size/Constant_7" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="258211866" size="4" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I32" />
-			</output>
-		</layer>
-		<layer id="6481" name="__module.model.gpt_neox.layers.29.attention/aten::size/Gather_7" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="1" precision="I64" />
-				<port id="2" precision="I32" />
-			</input>
-			<output>
-				<port id="3" precision="I64" names="4698,4703" />
-			</output>
-		</layer>
-		<layer id="6482" name="__module.model.gpt_neox.layers.29.attention/aten::floor_divide/Divide_3" type="Divide" version="opset1">
-			<data auto_broadcast="numpy" m_pythondiv="true" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
-			</input>
-			<output>
-				<port id="2" precision="I64" />
-			</output>
-		</layer>
-		<layer id="6483" name="__module.model.gpt_neox.layers.29.attention/aten::floor_divide/Floor_3" type="Floor" version="opset1">
-			<input>
-				<port id="0" precision="I64" />
-			</input>
-			<output>
-				<port id="1" precision="I64" names="4700,4701,4705,4706" />
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-		</layer>
-		<layer id="6484" name="Constant_337878" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886946" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="4091" name="Constant_18569" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559254" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6485" name="__module.model.gpt_neox.layers.29.attention/aten::slice/Unsqueeze_33" type="Reshape" version="opset1">
-			<data special_zero="false" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
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-			</input>
-			<output>
-				<port id="2" precision="I64">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="6486" name="Constant_304708" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="258211866" size="4" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="4092" name="Constant_18571" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
 			<output>
-				<port id="0" precision="I32">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="6487" name="ScatterUpdate_304711" type="ScatterUpdate" version="opset3">
-			<input>
 				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="4" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="6488" name="Constant_304714" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297886970" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="6489" name="Constant_304717" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559170" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
 			</output>
 		</layer>
-		<layer id="6490" name="__module.model.gpt_neox.layers.29.attention/aten::slice/Slice_7" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="4093" name="__module.model.gpt_neox.layers.28.attention/aten::slice/Slice_2" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -99071,17 +63608,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4707,x2.119">
+				<port id="5" precision="FP32" names="3557,x2.113">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -99089,8 +63629,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6491" name="Constant_325485_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 1, 1" offset="297887002" size="2" />
+		<layer id="4094" name="Constant_37130_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 1, 1" offset="297559262" size="2" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -99100,7 +63640,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6492" name="Constant_325485" type="Convert" version="opset1">
+		<layer id="4095" name="Constant_37130" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -99122,7 +63662,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6493" name="__module.model.gpt_neox.layers.29.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
+		<layer id="4096" name="__module.model.gpt_neox.layers.28.attention/aten::neg/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -99139,7 +63679,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4708">
+				<port id="2" precision="FP32" names="3558">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -99147,30 +63687,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6494" name="Constant_304762" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559106" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="4097" name="Constant_18464" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6495" name="Constant_304767" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559170" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="4098" name="Constant_18508" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559246" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4099" name="Constant_18510" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6496" name="__module.model.gpt_neox.layers.29.attention/aten::slice/Slice_8" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="4100" name="__module.model.gpt_neox.layers.28.attention/aten::slice/Slice_3" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -99179,17 +63720,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4702">
+				<port id="5" precision="FP32" names="3552">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -99197,7 +63741,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6497" name="__module.model.gpt_neox.layers.29.attention/aten::cat/Concat_2" type="Concat" version="opset1">
+		<layer id="4101" name="__module.model.gpt_neox.layers.28.attention/aten::cat/Concat" type="Concat" version="opset1">
 			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
@@ -99214,7 +63758,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4710">
+				<port id="2" precision="FP32" names="3560">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -99222,7 +63766,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6498" name="__module.model.gpt_neox.layers.29.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
+		<layer id="4102" name="__module.model.gpt_neox.layers.28.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -99239,7 +63783,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4711">
+				<port id="2" precision="FP32" names="3561">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -99247,7 +63791,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6499" name="__module.model.gpt_neox.layers.29.attention/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="4103" name="__module.model.gpt_neox.layers.28.attention/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -99264,32 +63808,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4712,4716">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="6500" name="__module.model.gpt_neox.layers.29.attention/aten::to/Convert_1" type="Concat" version="opset1">
-			<data axis="-2" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="present.29.key">
+				<port id="2" precision="FP32" names="3562,3580">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -99297,13 +63816,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6501" name="Constant_433405_compressed" type="Const" version="opset1">
+		<layer id="4104" name="Constant_52774_compressed" type="Const" version="opset1">
 			<data element_type="f16" shape="" offset="0" size="2" />
 			<output>
 				<port id="0" precision="FP16" />
 			</output>
 		</layer>
-		<layer id="6502" name="Constant_433405" type="Convert" version="opset1">
+		<layer id="4105" name="Constant_52774" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -99315,7 +63834,7 @@
 				<port id="1" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="6503" name="Constant_433398" type="Const" version="opset1">
+		<layer id="4106" name="Constant_52767" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="10" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -99323,7 +63842,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6504" name="Constant_433400" type="Const" version="opset1">
+		<layer id="4107" name="Constant_52769" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -99331,7 +63850,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6505" name="Constant_433402" type="Const" version="opset1">
+		<layer id="4108" name="Constant_52771" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="18" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -99339,7 +63858,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6506" name="Concat_433403" type="Concat" version="opset1">
+		<layer id="4109" name="Concat_52772" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -99361,7 +63880,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6507" name="Broadcast_433406" type="Broadcast" version="opset3">
+		<layer id="4110" name="Broadcast_52775" type="Broadcast" version="opset3">
 			<data mode="numpy" />
 			<input>
 				<port id="0" precision="FP32" />
@@ -99378,8 +63897,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6508" name="ReadValue_417372" type="ReadValue" version="opset6">
-			<data variable_id="past_key_values.29.valuepresent.29.value" variable_type="f32" variable_shape="?,32,?,80" />
+		<layer id="4111" name="ReadValue_49818" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.28.keypresent.28.key" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -99389,7 +63908,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="past_key_values.29.value">
+				<port id="1" precision="FP32" names="past_key_values.28.key">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -99397,13 +63916,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6509" name="Constant_402067" type="Const" version="opset1">
+		<layer id="4112" name="Constant_47497" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="6510" name="Gather_402068" type="Gather" version="opset8">
+		<layer id="4113" name="Gather_47498" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
@@ -99426,41 +63945,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6511" name="Constant_304812" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="4114" name="Constant_18373" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="18" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
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 				</port>
 			</output>
 		</layer>
-		<layer id="6512" name="Constant_304815" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="4115" name="Constant_18375" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559264" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="4116" name="Constant_18377" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="4117" name="__module.model.gpt_neox.layers.28.attention/aten::slice/Slice_5" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -99469,17 +63978,20 @@
 					<dim>240</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
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 				<port id="2" precision="I64">
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+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
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+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
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+				<port id="5" precision="FP32" names="3535">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
@@ -99487,15 +63999,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6515" name="Constant_17099" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559202" size="32" />
+		<layer id="4118" name="Constant_18386" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="297559122" size="32" />
 			<output>
-				<port id="0" precision="I64" names="4655">
+				<port id="0" precision="I64" names="3536">
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 				</port>
 			</output>
 		</layer>
-		<layer id="6516" name="__module.model.gpt_neox.layers.29.attention/aten::permute/Transpose_2" type="Transpose" version="opset1">
+		<layer id="4119" name="__module.model.gpt_neox.layers.28.attention/aten::permute/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -99508,32 +64020,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4656">
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-					<dim>-1</dim>
-					<dim>80</dim>
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-		<layer id="6517" name="__module.model.gpt_neox.layers.29.attention/aten::cat/Concat_5" type="Concat" version="opset1">
-			<data axis="-2" />
-			<input>
-				<port id="0" precision="FP32">
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-					<dim>-1</dim>
-					<dim>80</dim>
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-					<dim>80</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="present.29.value">
+				<port id="2" precision="FP32" names="3537,key.113">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -99541,41 +64028,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6518" name="__module.model.gpt_neox.layers.29.attention/aten::slice/Slice_11" type="Const" version="opset1">
-			<data element_type="boolean" shape="1, 1, 2048, 2048" offset="298214684" size="4194304" />
+		<layer id="4120" name="Constant_18429" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
-				<port id="0" precision="BOOL" names="4733">
-					<dim>1</dim>
+				<port id="0" precision="I64">
 					<dim>1</dim>
-					<dim>2048</dim>
-					<dim>2048</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6519" name="Constant_304822" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="302408988" size="24" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="4121" name="Constant_18431" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="18" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>3</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6520" name="Constant_304821" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886954" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="4122" name="Constant_18433" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6521" name="ShapeOf_340558" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="4123" name="__module.model.gpt_neox.layers.28.attention/aten::slice/Slice_6" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -99583,56 +64060,30 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-			</input>
-			<output>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="6522" name="Constant_340559" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="297886954" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I64" />
-			</output>
-		</layer>
-		<layer id="6523" name="Constant_340560" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="2" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I64" />
-			</output>
-		</layer>
-		<layer id="6524" name="Gather_340561" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
-				<port id="1" precision="I64" />
-				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" />
+				<port id="5" precision="FP32" names="3543,k.57">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="6525" name="Add_340562" type="Add" version="opset1">
+		<layer id="4124" name="__module.model.gpt_neox.layers.28.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
-			</input>
-			<output>
-				<port id="2" precision="I64" names="4728" />
-			</output>
-		</layer>
-		<layer id="6526" name="ShapeOf_340629" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -99640,94 +64091,53 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-			</input>
-			<output>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="6527" name="Constant_340630" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="297886954" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I64" />
-			</output>
-		</layer>
-		<layer id="6528" name="Constant_340631" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="2" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I64" />
-			</output>
-		</layer>
-		<layer id="6529" name="Gather_340632" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64" />
-				<port id="2" precision="I64" />
-			</input>
-			<output>
-				<port id="3" precision="I64" names="4726" />
-			</output>
-		</layer>
-		<layer id="6530" name="__module.model.gpt_neox.layers.29.attention/aten::sub/Subtract" type="Subtract" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="I64" names="4730,4731" />
+				<port id="2" precision="FP32" names="3563">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="6531" name="Constant_337880" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886946" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="4125" name="Constant_18710" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559246" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6532" name="__module.model.gpt_neox.layers.29.attention/aten::slice/Unsqueeze_44" type="Reshape" version="opset1">
-			<data special_zero="false" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-			</input>
+		<layer id="4126" name="Constant_18712" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559254" size="8" />
 			<output>
-				<port id="2" precision="I64">
+				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6533" name="Constant_304820" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="258211866" size="4" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="4127" name="Constant_18714" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
 			<output>
-				<port id="0" precision="I32">
+				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6534" name="ScatterUpdate_304823" type="ScatterUpdate" version="opset3">
+		<layer id="4128" name="__module.model.gpt_neox.layers.28.attention/aten::slice/Slice_7" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64">
-					<dim>3</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -99735,160 +64145,111 @@
 				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
+				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
-			</input>
-			<output>
 				<port id="4" precision="I64">
-					<dim>3</dim>
+					<dim>1</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="6535" name="Constant_304824" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="302408988" size="24" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+			</input>
 			<output>
-				<port id="0" precision="I64">
-					<dim>3</dim>
+				<port id="5" precision="FP32" names="3573,x2.115">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6536" name="Constant_337882" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886946" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="4129" name="Constant_37131_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 1, 1" offset="297559262" size="2" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="FP16">
+					<dim>1</dim>
 					<dim>1</dim>
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-			</output>
-		</layer>
-		<layer id="6537" name="__module.model.gpt_neox.layers.29.attention/aten::slice/Unsqueeze_45" type="Reshape" version="opset1">
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-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
 					<dim>1</dim>
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-				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6538" name="ScatterUpdate_304825" type="ScatterUpdate" version="opset3">
+		<layer id="4130" name="Constant_37131" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
-				<port id="0" precision="I64">
-					<dim>3</dim>
-				</port>
-				<port id="1" precision="I64">
+				<port id="0" precision="FP16">
+					<dim>1</dim>
 					<dim>1</dim>
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-				<port id="2" precision="I64">
 					<dim>1</dim>
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-				<port id="3" precision="I32">
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
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-					<dim>3</dim>
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-		<layer id="6539" name="Constant_304828" type="Const" version="opset1">
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-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I64">
-					<dim>3</dim>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6540" name="__module.model.gpt_neox.layers.29.attention/aten::slice/Slice_12" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 0" end_mask="1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="4131" name="__module.model.gpt_neox.layers.28.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="BOOL">
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
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+				<port id="1" precision="FP32">
 					<dim>1</dim>
 					<dim>1</dim>
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-					<dim>2048</dim>
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-				<port id="2" precision="I64">
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-				<port id="3" precision="I64">
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 					<dim>1</dim>
 					<dim>1</dim>
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-		<layer id="6541" name="Constant_304901" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
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 			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="FP32" names="3574">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
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 		</layer>
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+		<layer id="4133" name="Constant_18651" type="Const" version="opset1">
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+		<layer id="4134" name="Constant_18653" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
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 		</layer>
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+		<layer id="4141" name="Constant_52786" type="Convert" version="opset1">
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-				<attribute name="precise" version="0" />
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+		<layer id="4144" name="Constant_52783" type="Const" version="opset1">
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 				<port id="0" precision="I64">
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 			<data axis="0" />
 			<input>
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@@ -100118,42 +64432,333 @@
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64" names="4738">
+				<port id="4" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6561" name="Maximum_317078" type="Maximum" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="4146" name="Broadcast_52787" type="Broadcast" version="opset3">
+			<data mode="numpy" />
 			<input>
+				<port id="0" precision="FP32" />
+				<port id="1" precision="I64">
+					<dim>4</dim>
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+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>0</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4147" name="ReadValue_49820" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.28.valuepresent.28.value" variable_type="f32" variable_shape="?,32,?,80" />
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+					<dim>80</dim>
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+				<port id="1" precision="FP32" names="past_key_values.28.value">
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+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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+		<layer id="4148" name="Constant_47500" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="2" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
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+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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+		</layer>
+		<layer id="4150" name="Constant_18391" type="Const" version="opset1">
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 				<port id="0" precision="I64">
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+		<layer id="4151" name="Constant_18393" type="Const" version="opset1">
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+				<port id="0" precision="I64">
+					<dim>1</dim>
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+			<data element_type="i64" shape="1" offset="297559106" size="8" />
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+				<port id="0" precision="I64">
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+					<dim>240</dim>
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+				<port id="3" precision="I64">
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+				<port id="4" precision="I64">
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+					<dim>-1</dim>
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+					<dim>80</dim>
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+				<port id="0" precision="I64" names="3539">
 					<dim>4</dim>
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 				<port id="1" precision="I64">
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 			<output>
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 		</layer>
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+		</layer>
+		<layer id="4160" name="Constant_40245" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="2" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="4161" name="Gather_40246" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+				<port id="1" precision="I64">
 					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64" />
+			</input>
+			<output>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4162" name="ShapeOf_40247" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
+			</input>
+			<output>
 				<port id="1" precision="I64">
 					<dim>4</dim>
 				</port>
+			</output>
+		</layer>
+		<layer id="4163" name="Constant_40248" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559280" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4164" name="Constant_40249" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="2" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="4165" name="Gather_40250" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64" />
+			</input>
+			<output>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4166" name="Add_40251" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4740">
+				<port id="2" precision="I64" names="3587">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4167" name="Constant_18789" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4168" name="__module.model.gpt_neox.layers.28.attention/aten::slice/Slice_14" type="Slice" version="opset8">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
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+				<port id="1" precision="I64">
+					<dim>1</dim>
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+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="5" precision="FP32" names="3591">
 					<dim>-1</dim>
 					<dim>1</dim>
 					<dim>-1</dim>
@@ -100161,7 +64766,7 @@
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 			</output>
 		</layer>
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+		<layer id="4169" name="__module.model.gpt_neox.layers.28.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
 			<data causal="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -100190,7 +64795,7 @@
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 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4741,4742,sdpa_result.59,tensor.117">
+				<port id="4" precision="FP32" names="3592,attn_output.225">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -100198,15 +64803,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6564" name="Constant_17540" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559202" size="32" />
+		<layer id="4170" name="__module.model.gpt_neox.layers.28.attention/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="297559312" size="16" />
 			<output>
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 		</layer>
-		<layer id="6565" name="__module.model.gpt_neox.layers.29.attention/aten::permute/Transpose_3" type="Transpose" version="opset1">
+		<layer id="4171" name="__module.model.gpt_neox.layers.28.attention/aten::transpose/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -100214,12 +64819,12 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
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 				</port>
 			</input>
 			<output>
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 					<dim>-1</dim>
 					<dim>32</dim>
@@ -100227,8 +64832,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6566" name="__module.model.gpt_neox.layers.29.attention/prim::ListConstruct/Concat_2" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="302409066" size="24" />
+		<layer id="4172" name="Constant_40563" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="297559328" size="24" />
 			<rt_info>
 				<attribute name="precise" version="0" />
 			</rt_info>
@@ -100238,7 +64843,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6567" name="__module.model.gpt_neox.layers.29.attention/aten::view/Reshape_1" type="Reshape" version="opset1">
+		<layer id="4173" name="__module.model.gpt_neox.layers.28.attention/aten::view/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -100252,23 +64857,23 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4749">
+				<port id="2" precision="FP32" names="3596">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
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-			<data element_type="f16" shape="2560, 2560" offset="4865644930" size="13107200" />
+		<layer id="4174" name="self.model.gpt_neox.layers.28.attention.dense.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="2560, 2560" offset="4703442232" size="13107200" />
 			<output>
-				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.29.attention.dense.weight">
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.28.attention.dense.weight">
 					<dim>2560</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6569" name="self.model.gpt_neox.layers.29.attention.dense.weight" type="Convert" version="opset1">
+		<layer id="4175" name="self.model.gpt_neox.layers.28.attention.dense.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -100286,7 +64891,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6570" name="__module.model.gpt_neox.layers.29.attention.dense/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="4176" name="__module.model.gpt_neox.layers.28.attention.dense/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -100307,8 +64912,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6571" name="Constant_325486_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 2560" offset="4878752130" size="5120" />
+		<layer id="4177" name="Constant_37132_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 2560" offset="4716549432" size="5120" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -100317,7 +64922,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6572" name="Constant_325486" type="Convert" version="opset1">
+		<layer id="4178" name="Constant_37132" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -100337,7 +64942,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6573" name="__module.model.gpt_neox.layers.29.attention.dense/aten::linear/Add" type="Add" version="opset1">
+		<layer id="4179" name="__module.model.gpt_neox.layers.28.attention.dense/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -100352,14 +64957,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4752,4754,input.119">
+				<port id="2" precision="FP32" names="3599,3601,input.113">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6574" name="__module.model.gpt_neox.layers.29/aten::add/Add" type="Add" version="opset1">
+		<layer id="4180" name="__module.model.gpt_neox.layers.28/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -100374,14 +64979,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4758,attn_output.119">
+				<port id="2" precision="FP32" names="3605,attn_output.231">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6575" name="__module.model.gpt_neox.layers.29.post_attention_layernorm/aten::layer_norm/Constant" type="Const" version="opset1">
+		<layer id="4181" name="__module.model.gpt_neox.layers.28.post_attention_layernorm/aten::layer_norm/Multiply" type="Const" version="opset1">
 			<data element_type="i32" shape="1" offset="258211870" size="4" />
 			<output>
 				<port id="0" precision="I32">
@@ -100389,7 +64994,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6576" name="__module.model.gpt_neox.layers.29.post_attention_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
+		<layer id="4182" name="__module.model.gpt_neox.layers.28.post_attention_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -100409,8 +65014,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6577" name="Constant_325487_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 2560" offset="4878757250" size="5120" />
+		<layer id="4183" name="Constant_37133_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 2560" offset="4716554552" size="5120" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -100419,7 +65024,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6578" name="Constant_325487" type="Convert" version="opset1">
+		<layer id="4184" name="Constant_37133" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -100439,7 +65044,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6579" name="__module.model.gpt_neox.layers.29.post_attention_layernorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
+		<layer id="4185" name="__module.model.gpt_neox.layers.28.post_attention_layernorm/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -100461,8 +65066,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6580" name="Constant_325488_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 2560" offset="4878762370" size="5120" />
+		<layer id="4186" name="Constant_37134_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 2560" offset="4716559672" size="5120" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -100471,7 +65076,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6581" name="Constant_325488" type="Convert" version="opset1">
+		<layer id="4187" name="Constant_37134" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -100491,7 +65096,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6582" name="__module.model.gpt_neox.layers.29.post_attention_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="4188" name="__module.model.gpt_neox.layers.28.post_attention_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -100506,23 +65111,23 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4762">
+				<port id="2" precision="FP32" names="3609">
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 					<dim>-1</dim>
 					<dim>2560</dim>
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 		</layer>
-		<layer id="6583" name="self.model.gpt_neox.layers.29.mlp.dense_h_to_4h.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="10240, 2560" offset="4878767490" size="52428800" />
+		<layer id="4189" name="self.model.gpt_neox.layers.28.mlp.dense_h_to_4h.weight" type="Const" version="opset1">
+			<data element_type="f16" shape="10240, 2560" offset="4716564792" size="52428800" />
 			<output>
-				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.29.mlp.dense_h_to_4h.weight">
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.28.mlp.dense_h_to_4h.weight">
 					<dim>10240</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6584" name="self.model.gpt_neox.layers.29.mlp.dense_h_to_4h.weight" type="Convert" version="opset1">
+		<layer id="4190" name="__module.model.gpt_neox.layers.28.mlp.dense_h_to_4h/ov_ext::linear/ConvertLike" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -100540,7 +65145,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6585" name="__module.model.gpt_neox.layers.29.mlp.dense_h_to_4h/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="4191" name="__module.model.gpt_neox.layers.28.mlp.dense_h_to_4h/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -100561,37 +65166,31 @@
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 			</output>
 		</layer>
-		<layer id="6586" name="Constant_325489_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 10240" offset="4931196290" size="20480" />
+		<layer id="4192" name="self.model.gpt_neox.layers.28.mlp.dense_h_to_4h.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="10240" offset="4768993592" size="20480" />
 			<output>
-				<port id="0" precision="FP16">
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-					<dim>1</dim>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.28.mlp.dense_h_to_4h.bias">
 					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6587" name="Constant_325489" type="Convert" version="opset1">
+		<layer id="4193" name="__module.model.gpt_neox.layers.28.mlp.dense_h_to_4h/ov_ext::linear/ConvertLike_1" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>10240</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6588" name="__module.model.gpt_neox.layers.29.mlp.dense_h_to_4h/aten::linear/Add" type="Add" version="opset1">
+		<layer id="4194" name="__module.model.gpt_neox.layers.28.mlp.dense_h_to_4h/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -100600,20 +65199,18 @@
 					<dim>10240</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>10240</dim>
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4767">
+				<port id="2" precision="FP32" names="3614">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>10240</dim>
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 			</output>
 		</layer>
-		<layer id="6589" name="__module.model.gpt_neox.layers.29.mlp.act/aten::gelu/Gelu" type="Gelu" version="opset7">
+		<layer id="4195" name="__module.model.gpt_neox.layers.28.mlp.act/aten::gelu/Gelu" type="Gelu" version="opset7">
 			<data approximation_mode="ERF" />
 			<input>
 				<port id="0" precision="FP32">
@@ -100623,23 +65220,23 @@
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 			</input>
 			<output>
-				<port id="1" precision="FP32" names="4768">
+				<port id="1" precision="FP32" names="3615">
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 					<dim>-1</dim>
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-			<data element_type="f16" shape="2560, 10240" offset="4931216770" size="52428800" />
+		<layer id="4196" name="self.model.gpt_neox.layers.28.mlp.dense_4h_to_h.weight" type="Const" version="opset1">
+			<data element_type="f16" shape="2560, 10240" offset="4769014072" size="52428800" />
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+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.28.mlp.dense_4h_to_h.weight">
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 		</layer>
-		<layer id="6591" name="self.model.gpt_neox.layers.29.mlp.dense_4h_to_h.weight" type="Convert" version="opset1">
+		<layer id="4197" name="__module.model.gpt_neox.layers.28.mlp.dense_4h_to_h/ov_ext::linear/ConvertLike" type="Convert" version="opset1">
 			<data destination_type="f32" />
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@@ -100657,7 +65254,7 @@
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 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -100678,37 +65275,31 @@
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 		</layer>
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-			<data element_type="f16" shape="1, 1, 2560" offset="4983645570" size="5120" />
+		<layer id="4199" name="self.model.gpt_neox.layers.28.mlp.dense_4h_to_h.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="2560" offset="4821442872" size="5120" />
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 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6594" name="Constant_325490" type="Convert" version="opset1">
+		<layer id="4200" name="__module.model.gpt_neox.layers.28.mlp.dense_4h_to_h/ov_ext::linear/ConvertLike_1" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
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 			<input>
 				<port id="0" precision="FP16">
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 					<dim>2560</dim>
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 			</input>
 			<output>
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 		</layer>
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+		<layer id="4201" name="__module.model.gpt_neox.layers.28.mlp.dense_4h_to_h/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -100717,20 +65308,18 @@
 					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP32">
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 					<dim>2560</dim>
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 			</input>
 			<output>
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 					<dim>-1</dim>
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 		</layer>
-		<layer id="6596" name="__module.model.gpt_neox.layers.29/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="4202" name="__module.model.gpt_neox.layers.28/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -100745,14 +65334,14 @@
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 			</input>
 			<output>
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 					<dim>-1</dim>
 					<dim>2560</dim>
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 			</output>
 		</layer>
-		<layer id="6597" name="__module.model.gpt_neox.layers.30.input_layernorm/aten::layer_norm/Constant" type="Const" version="opset1">
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 			<data element_type="i32" shape="1" offset="258211870" size="4" />
 			<output>
 				<port id="0" precision="I32">
@@ -100760,7 +65349,7 @@
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 			</output>
 		</layer>
-		<layer id="6598" name="__module.model.gpt_neox.layers.30.input_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
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 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -100780,8 +65369,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6599" name="Constant_325491_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 2560" offset="4983650690" size="5120" />
+		<layer id="4205" name="Constant_37135_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 2560" offset="4821447992" size="5120" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -100790,7 +65379,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6600" name="Constant_325491" type="Convert" version="opset1">
+		<layer id="4206" name="Constant_37135" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -100810,7 +65399,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6601" name="__module.model.gpt_neox.layers.30.input_layernorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
+		<layer id="4207" name="__module.model.gpt_neox.layers.29.input_layernorm/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -100832,8 +65421,8 @@
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 			</output>
 		</layer>
-		<layer id="6602" name="Constant_325492_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 2560" offset="4983655810" size="5120" />
+		<layer id="4208" name="Constant_37136_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 2560" offset="4821453112" size="5120" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -100842,7 +65431,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6603" name="Constant_325492" type="Convert" version="opset1">
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 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -100862,7 +65451,7 @@
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 			</output>
 		</layer>
-		<layer id="6604" name="__module.model.gpt_neox.layers.30.input_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="4210" name="__module.model.gpt_neox.layers.29.input_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -100877,23 +65466,23 @@
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 			</input>
 			<output>
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 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
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 		</layer>
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-			<data element_type="f16" shape="7680, 2560" offset="4983660930" size="39321600" />
+		<layer id="4211" name="self.model.gpt_neox.layers.29.attention.query_key_value.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="7680, 2560" offset="4821458232" size="39321600" />
 			<output>
-				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.30.attention.query_key_value.weight">
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.29.attention.query_key_value.weight">
 					<dim>7680</dim>
 					<dim>2560</dim>
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 		</layer>
-		<layer id="6606" name="self.model.gpt_neox.layers.30.attention.query_key_value.weight" type="Convert" version="opset1">
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 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -100911,7 +65500,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6607" name="__module.model.gpt_neox.layers.30.attention.query_key_value/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="4213" name="__module.model.gpt_neox.layers.29.attention.query_key_value/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -100932,8 +65521,8 @@
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-			<data element_type="f16" shape="1, 1, 7680" offset="5022982530" size="15360" />
+		<layer id="4214" name="Constant_37137_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 7680" offset="4860779832" size="15360" />
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 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -100942,7 +65531,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6609" name="Constant_325493" type="Convert" version="opset1">
+		<layer id="4215" name="Constant_37137" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -100962,7 +65551,7 @@
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-		<layer id="6610" name="__module.model.gpt_neox.layers.30.attention.query_key_value/aten::linear/Add" type="Add" version="opset1">
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 			<data auto_broadcast="numpy" />
 			<input>
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@@ -100977,14 +65566,14 @@
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 			<output>
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 					<dim>-1</dim>
 					<dim>7680</dim>
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 		</layer>
-		<layer id="6611" name="__module.model.gpt_neox.layers.30.attention/prim::ListConstruct/Concat" type="Const" version="opset1">
+		<layer id="4217" name="__module.model.gpt_neox.layers.29.attention/prim::ListConstruct" type="Const" version="opset1">
 			<data element_type="i64" shape="4" offset="297559074" size="32" />
 			<rt_info>
 				<attribute name="precise" version="0" />
@@ -100995,7 +65584,7 @@
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 		</layer>
-		<layer id="6612" name="__module.model.gpt_neox.layers.30.attention/aten::view/Reshape" type="Reshape" version="opset1">
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 			<data special_zero="true" />
 			<input>
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@@ -101008,7 +65597,7 @@
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 			</input>
 			<output>
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 					<dim>-1</dim>
 					<dim>32</dim>
@@ -101016,41 +65605,31 @@
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-		<layer id="6613" name="Constant_304913" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="4219" name="Constant_18985" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="4220" name="Constant_18987" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="18" size="8" />
 			<output>
 				<port id="0" precision="I64">
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-		<layer id="6615" name="Constant_304919" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="4221" name="Constant_18989" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
 			<output>
 				<port id="0" precision="I64">
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-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="4222" name="__module.model.gpt_neox.layers.29.attention/aten::slice/Slice" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -101059,17 +65638,20 @@
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 				<port id="1" precision="I64">
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 				<port id="3" precision="I64">
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+					<dim>1</dim>
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+				<port id="4" precision="I64">
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 			<output>
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 					<dim>-1</dim>
 					<dim>32</dim>
@@ -101077,15 +65659,15 @@
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 		</layer>
-		<layer id="6617" name="Constant_17652" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559202" size="32" />
+		<layer id="4223" name="Constant_18998" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="297559122" size="32" />
 			<output>
-				<port id="0" precision="I64" names="4798">
+				<port id="0" precision="I64" names="3645">
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-		<layer id="6618" name="__module.model.gpt_neox.layers.30.attention/aten::permute/Transpose" type="Transpose" version="opset1">
+		<layer id="4224" name="__module.model.gpt_neox.layers.29.attention/aten::permute/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -101098,7 +65680,7 @@
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 			</input>
 			<output>
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 					<dim>32</dim>
 					<dim>-1</dim>
@@ -101106,41 +65688,31 @@
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-		<layer id="6619" name="Constant_304925" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="4225" name="Constant_19039" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
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-		<layer id="6620" name="Constant_304928" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="4226" name="Constant_19041" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="18" size="8" />
 			<output>
 				<port id="0" precision="I64">
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-		<layer id="6621" name="Constant_304931" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="4227" name="Constant_19043" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
 			<output>
 				<port id="0" precision="I64">
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-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="4228" name="__module.model.gpt_neox.layers.29.attention/aten::slice/Slice_1" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -101149,17 +65721,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
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 				<port id="3" precision="I64">
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+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4806,q.61">
+				<port id="5" precision="FP32" names="3653,q.59">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -101167,165 +65742,279 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6623" name="self.model.gpt_neox.layers.30.attention.rotary_emb.cos_cached_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="2048, 80" offset="297559234" size="327680" />
+		<layer id="4229" name="__module.model.gpt_neox.layers.29.attention/aten::mul/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.30.attention.rotary_emb.cos_cached">
-					<dim>2048</dim>
+				<port id="2" precision="FP32" names="3659">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6624" name="self.model.gpt_neox.layers.30.attention.rotary_emb.cos_cached" type="Convert" version="opset1">
+		<layer id="4230" name="Constant_19197" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559246" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4231" name="Constant_19199" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559254" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4232" name="Constant_19201" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4233" name="__module.model.gpt_neox.layers.29.attention/aten::slice/Slice_2" type="Slice" version="opset8">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="5" precision="FP32" names="3669,x2.117">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4234" name="Constant_37138_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 1, 1" offset="297559262" size="2" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4235" name="Constant_37138" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
-					<dim>2048</dim>
-					<dim>80</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP32">
-					<dim>2048</dim>
-					<dim>80</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6625" name="__module.model.gpt_neox.layers.30.attention.rotary_emb/aten::slice/Unsqueeze" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I64">
+		<layer id="4236" name="__module.model.gpt_neox.layers.29.attention/aten::neg/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
 					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="3670">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="4237" name="Constant_19094" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6627" name="Constant_304940" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="4238" name="Constant_19138" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559246" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6628" name="Constant_304943" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="4239" name="Constant_19140" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6629" name="__module.model.gpt_neox.layers.30.attention/aten::slice/Slice_2" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="4240" name="__module.model.gpt_neox.layers.29.attention/aten::slice/Slice_3" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
-					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>240</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
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 				</port>
 				<port id="2" precision="I64">
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+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4800">
-					<dim>-1</dim>
+				<port id="5" precision="FP32" names="3664">
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>80</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6630" name="ShapeOf_340639" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="4241" name="__module.model.gpt_neox.layers.29.attention/aten::cat/Concat" type="Concat" version="opset1">
+			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>80</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="FP32" names="3672">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6631" name="Constant_341060" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886946" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I64">
+		<layer id="4242" name="__module.model.gpt_neox.layers.29.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
 					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="6632" name="Constant_340641" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="2" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+			</input>
 			<output>
-				<port id="0" precision="I64" />
+				<port id="2" precision="FP32" names="3673">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="6633" name="Gather_340642" type="Gather" version="opset8">
-			<data batch_dims="0" />
+		<layer id="4243" name="__module.model.gpt_neox.layers.29.attention/aten::add/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>1</dim>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="4810">
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="3674,3692">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6634" name="Constant_433418_compressed" type="Const" version="opset1">
+		<layer id="4244" name="Constant_52798_compressed" type="Const" version="opset1">
 			<data element_type="f16" shape="" offset="0" size="2" />
 			<output>
 				<port id="0" precision="FP16" />
 			</output>
 		</layer>
-		<layer id="6635" name="Constant_433418" type="Convert" version="opset1">
+		<layer id="4245" name="Constant_52798" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -101337,7 +66026,7 @@
 				<port id="1" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="6636" name="Constant_433411" type="Const" version="opset1">
+		<layer id="4246" name="Constant_52791" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="10" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -101345,7 +66034,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6637" name="Constant_433413" type="Const" version="opset1">
+		<layer id="4247" name="Constant_52793" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -101353,7 +66042,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6638" name="Constant_433415" type="Const" version="opset1">
+		<layer id="4248" name="Constant_52795" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="18" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -101361,7 +66050,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6639" name="Concat_433416" type="Concat" version="opset1">
+		<layer id="4249" name="Concat_52796" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -101383,7 +66072,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6640" name="Broadcast_433419" type="Broadcast" version="opset3">
+		<layer id="4250" name="Broadcast_52799" type="Broadcast" version="opset3">
 			<data mode="numpy" />
 			<input>
 				<port id="0" precision="FP32" />
@@ -101400,8 +66089,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6641" name="ReadValue_417378" type="ReadValue" version="opset6">
-			<data variable_id="past_key_values.30.keypresent.30.key" variable_type="f32" variable_shape="?,32,?,80" />
+		<layer id="4251" name="ReadValue_49822" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.29.keypresent.29.key" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -101411,7 +66100,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="past_key_values.30.key">
+				<port id="1" precision="FP32" names="past_key_values.29.key">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -101419,13 +66108,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6642" name="Constant_402070" type="Const" version="opset1">
+		<layer id="4252" name="Constant_47503" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="6643" name="Gather_402071" type="Gather" version="opset8">
+		<layer id="4253" name="Gather_47504" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
@@ -101448,175 +66137,144 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6644" name="ShapeOf_340644" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-			</input>
+		<layer id="4254" name="Constant_19003" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="18" size="8" />
 			<output>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6645" name="Constant_340645" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="297886954" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I64" />
-			</output>
-		</layer>
-		<layer id="6646" name="Constant_340646" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="2" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="4255" name="Constant_19005" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559264" size="8" />
 			<output>
-				<port id="0" precision="I64" />
-			</output>
-		</layer>
-		<layer id="6647" name="Gather_340647" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
-				<port id="1" precision="I64" />
-				<port id="2" precision="I64" />
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-			<output>
-				<port id="3" precision="I64" names="4812" />
 			</output>
 		</layer>
-		<layer id="6648" name="Constant_337884" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886946" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="4256" name="Constant_19007" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6649" name="Reshape_340965" type="Reshape" version="opset1">
-			<data special_zero="false" />
+		<layer id="4257" name="__module.model.gpt_neox.layers.29.attention/aten::slice/Slice_5" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64" />
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>240</dim>
+				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
 				</port>
-			</input>
-			<output>
 				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
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-		</layer>
-		<layer id="6650" name="__module.model.gpt_neox.layers.30.attention/aten::add_/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="I64">
+				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
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 				</port>
 			</input>
 			<output>
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-					<dim>1</dim>
+				<port id="5" precision="FP32" names="3647">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="4258" name="Constant_19016" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="297559122" size="32" />
 			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
+				<port id="0" precision="I64" names="3648">
+					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6652" name="__module.model.gpt_neox.layers.30.attention.rotary_emb/aten::slice/Slice" type="StridedSlice" version="opset1">
-			<data begin_mask="0" end_mask="0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="4259" name="__module.model.gpt_neox.layers.29.attention/aten::permute/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
-					<dim>2048</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
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-				<port id="2" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="I64">
-					<dim>1</dim>
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 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4819,4822,cos.121">
+				<port id="2" precision="FP32" names="3649,key.117">
+					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6653" name="Constant_38407" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="258211866" size="4" />
+		<layer id="4260" name="Constant_19059" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
-				<port id="0" precision="I32" />
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
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-			<input>
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-					<dim>80</dim>
-				</port>
-				<port id="1" precision="I32">
-					<dim>-1</dim>
-					<dim>-1</dim>
+		<layer id="4261" name="Constant_19061" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="18" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
-				<port id="2" precision="I32" />
-			</input>
+			</output>
+		</layer>
+		<layer id="4262" name="Constant_19063" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
 			<output>
-				<port id="3" precision="FP32" names="4825">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6655" name="__module.model.gpt_neox.layers.30.attention/aten::unsqueeze/Unsqueeze" type="Unsqueeze" version="opset1">
+		<layer id="4263" name="__module.model.gpt_neox.layers.29.attention/aten::slice/Slice_6" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64" />
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4826,cos.123">
+				<port id="5" precision="FP32" names="3655,k.59">
 					<dim>-1</dim>
-					<dim>1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6656" name="__module.model.gpt_neox.layers.30.attention/aten::mul/Multiply" type="Multiply" version="opset1">
+		<layer id="4264" name="__module.model.gpt_neox.layers.29.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -101633,7 +66291,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4830">
+				<port id="2" precision="FP32" names="3675">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -101641,165 +66299,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6657" name="Constant_304948" type="Const" version="opset1">
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-		<layer id="6658" name="Constant_304947" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="4265" name="Constant_19340" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559246" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-			<input>
-				<port id="0" precision="FP32">
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-					<dim>80</dim>
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-			<output>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="6660" name="__module.model.gpt_neox.layers.30.attention/aten::size/Constant_5" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="258211866" size="4" />
-			<rt_info>
-				<attribute name="precise" version="0" />
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-			<output>
-				<port id="0" precision="I32" />
-			</output>
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-		<layer id="6661" name="__module.model.gpt_neox.layers.30.attention/aten::size/Gather_5" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
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-				<port id="1" precision="I64" />
-				<port id="2" precision="I32" />
-			</input>
-			<output>
-				<port id="3" precision="I64" names="4831,4836" />
-			</output>
-		</layer>
-		<layer id="6662" name="__module.model.gpt_neox.layers.30.attention/aten::floor_divide/Divide_1" type="Divide" version="opset1">
-			<data auto_broadcast="numpy" m_pythondiv="true" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
-			</input>
-			<output>
-				<port id="2" precision="I64" />
-			</output>
-		</layer>
-		<layer id="6663" name="__module.model.gpt_neox.layers.30.attention/aten::floor_divide/Floor_1" type="Floor" version="opset1">
-			<input>
-				<port id="0" precision="I64" />
-			</input>
-			<output>
-				<port id="1" precision="I64" names="4833,4834,4838,4839" />
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-		</layer>
-		<layer id="6664" name="Constant_337886" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886946" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="4266" name="Constant_19342" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559254" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6665" name="__module.model.gpt_neox.layers.30.attention/aten::slice/Unsqueeze_17" type="Reshape" version="opset1">
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-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
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-			</input>
-			<output>
-				<port id="2" precision="I64">
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-				</port>
-			</output>
-		</layer>
-		<layer id="6666" name="Constant_304946" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="4267" name="Constant_19344" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
 			<output>
-				<port id="0" precision="I32">
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-				</port>
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-		</layer>
-		<layer id="6667" name="ScatterUpdate_304949" type="ScatterUpdate" version="opset3">
-			<input>
 				<port id="0" precision="I64">
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-				<port id="1" precision="I64">
 					<dim>1</dim>
 				</port>
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-				<port id="3" precision="I32">
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-			<output>
-				<port id="4" precision="I64">
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-			</output>
-		</layer>
-		<layer id="6668" name="Constant_304952" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
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-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
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-		</layer>
-		<layer id="6669" name="Constant_304955" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559170" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
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 			</output>
 		</layer>
-		<layer id="6670" name="__module.model.gpt_neox.layers.30.attention/aten::slice/Slice_3" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="4268" name="__module.model.gpt_neox.layers.29.attention/aten::slice/Slice_7" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -101808,17 +66332,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4840,x2.121">
+				<port id="5" precision="FP32" names="3685,x2.119">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -101826,8 +66353,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6671" name="Constant_325494_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 1, 1" offset="297887002" size="2" />
+		<layer id="4269" name="Constant_37139_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 1, 1" offset="297559262" size="2" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -101837,7 +66364,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6672" name="Constant_325494" type="Convert" version="opset1">
+		<layer id="4270" name="Constant_37139" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -101859,7 +66386,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6673" name="__module.model.gpt_neox.layers.30.attention/aten::neg/Multiply" type="Multiply" version="opset1">
+		<layer id="4271" name="__module.model.gpt_neox.layers.29.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -101876,7 +66403,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4841">
+				<port id="2" precision="FP32" names="3686">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -101884,30 +66411,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6674" name="Constant_305000" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559106" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="4272" name="Constant_19237" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6675" name="Constant_305005" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559170" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="4273" name="Constant_19281" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559246" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4274" name="Constant_19283" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6676" name="__module.model.gpt_neox.layers.30.attention/aten::slice/Slice_4" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="4275" name="__module.model.gpt_neox.layers.29.attention/aten::slice/Slice_8" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -101916,17 +66444,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4835">
+				<port id="5" precision="FP32" names="3680">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -101934,7 +66465,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6677" name="__module.model.gpt_neox.layers.30.attention/aten::cat/Concat" type="Concat" version="opset1">
+		<layer id="4276" name="__module.model.gpt_neox.layers.29.attention/aten::cat/Concat_2" type="Concat" version="opset1">
 			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
@@ -101951,7 +66482,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4843">
+				<port id="2" precision="FP32" names="3688">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -101959,61 +66490,128 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6678" name="self.model.gpt_neox.layers.30.attention.rotary_emb.sin_cached_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="2048, 80" offset="297887004" size="327680" />
+		<layer id="4277" name="__module.model.gpt_neox.layers.29.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.30.attention.rotary_emb.sin_cached">
-					<dim>2048</dim>
+				<port id="2" precision="FP32" names="3689">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6679" name="self.model.gpt_neox.layers.30.attention.rotary_emb.sin_cached" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
+		<layer id="4278" name="__module.model.gpt_neox.layers.29.attention/aten::add/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="FP16">
-					<dim>2048</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</input>
 			<output>
+				<port id="2" precision="FP32" names="3690,3694">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4279" name="__module.model.gpt_neox.layers.29.attention/aten::cat/Concat_4" type="Concat" version="opset1">
+			<data axis="-2" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
 				<port id="1" precision="FP32">
-					<dim>2048</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="present.29.key">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6680" name="__module.model.gpt_neox.layers.30.attention.rotary_emb/aten::slice/Unsqueeze_4" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="2" size="8" />
+		<layer id="4280" name="Constant_52810_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="" offset="0" size="2" />
+			<output>
+				<port id="0" precision="FP16" />
+			</output>
+		</layer>
+		<layer id="4281" name="Constant_52810" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="precise" version="0" />
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16" />
+			</input>
+			<output>
+				<port id="1" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="4282" name="Constant_52803" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="10" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6681" name="__module.model.gpt_neox.layers.30.attention.rotary_emb/aten::slice/Unsqueeze_6" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886946" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="4283" name="Constant_52805" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4284" name="Constant_52807" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="18" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6682" name="__module.model.gpt_neox.layers.30.attention.rotary_emb/aten::slice/Slice_1" type="StridedSlice" version="opset1">
-			<data begin_mask="0" end_mask="0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="4285" name="Concat_52808" type="Concat" version="opset1">
+			<data axis="0" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>2048</dim>
-					<dim>80</dim>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -102026,75 +66624,40 @@
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4820,4823,sin.121">
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="6683" name="Constant_38410" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="258211866" size="4" />
-			<output>
-				<port id="0" precision="I32" />
-			</output>
-		</layer>
-		<layer id="6684" name="__module.model.gpt_neox.layers.30.attention/aten::index/Gather_1" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-				<port id="1" precision="I32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-				</port>
-				<port id="2" precision="I32" />
-			</input>
-			<output>
-				<port id="3" precision="FP32" names="4828">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
+				<port id="4" precision="I64">
+					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6685" name="__module.model.gpt_neox.layers.30.attention/aten::unsqueeze/Unsqueeze_1" type="Unsqueeze" version="opset1">
+		<layer id="4286" name="Broadcast_52811" type="Broadcast" version="opset3">
+			<data mode="numpy" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
+				<port id="0" precision="FP32" />
+				<port id="1" precision="I64">
+					<dim>4</dim>
 				</port>
-				<port id="1" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4829,sin.123">
-					<dim>-1</dim>
-					<dim>1</dim>
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>0</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6686" name="__module.model.gpt_neox.layers.30.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="4287" name="ReadValue_49824" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.29.valuepresent.29.value" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>1</dim>
-					<dim>-1</dim>
+					<dim>0</dim>
 					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4844">
+				<port id="1" precision="FP32" names="past_key_values.29.value">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -102102,8 +66665,14 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6687" name="__module.model.gpt_neox.layers.30.attention/aten::add/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="4288" name="Constant_47506" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="2" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="4289" name="Gather_47507" type="Gather" version="opset8">
+			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -102111,15 +66680,13 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
+				<port id="1" precision="I32">
 					<dim>-1</dim>
-					<dim>80</dim>
 				</port>
+				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4845,4863,4873,query.183,query.185">
+				<port id="3" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -102127,89 +66694,82 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6688" name="Constant_17666" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559202" size="32" />
+		<layer id="4290" name="Constant_19021" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559264" size="8" />
 			<output>
-				<port id="0" precision="I64" names="4801">
-					<dim>4</dim>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4291" name="Constant_19023" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559254" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4292" name="Constant_19025" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6689" name="__module.model.gpt_neox.layers.30.attention/aten::permute/Transpose_1" type="Transpose" version="opset1">
+		<layer id="4293" name="__module.model.gpt_neox.layers.29.attention/aten::slice/Slice_10" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>80</dim>
+					<dim>240</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4802,key.181">
+				<port id="5" precision="FP32" names="3650">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6690" name="Constant_305051" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559106" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
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-			<output>
-				<port id="0" precision="I64">
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-				</port>
-			</output>
-		</layer>
-		<layer id="6691" name="Constant_305054" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559138" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="6692" name="Constant_305057" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559170" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="4294" name="Constant_19034" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="297559122" size="32" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I64" names="3651">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6693" name="__module.model.gpt_neox.layers.30.attention/aten::slice/Slice_6" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="4295" name="__module.model.gpt_neox.layers.29.attention/aten::permute/Transpose_2" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>4</dim>
 				</port>
-				<port id="2" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="3" precision="I64">
-					<dim>4</dim>
-				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4808,k.61">
+				<port id="2" precision="FP32" names="3652">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -102217,8 +66777,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6694" name="__module.model.gpt_neox.layers.30.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="4296" name="__module.model.gpt_neox.layers.29.attention/aten::cat/Concat_5" type="Concat" version="opset1">
+			<data axis="-2" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -102228,13 +66788,13 @@
 				</port>
 				<port id="1" precision="FP32">
 					<dim>-1</dim>
-					<dim>1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4846">
+				<port id="2" precision="FP32" names="present.29.value">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -102242,29 +66802,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6695" name="Constant_305061" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559106" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="6696" name="Constant_305060" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886962" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="4297" name="Constant_19416" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6697" name="__module.model.gpt_neox.layers.30.attention/aten::size/ShapeOf_7" type="ShapeOf" version="opset3">
+		<layer id="4298" name="ShapeOf_40316" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -102280,83 +66826,22 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6698" name="__module.model.gpt_neox.layers.30.attention/aten::size/Constant_7" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="258211866" size="4" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I32" />
-			</output>
-		</layer>
-		<layer id="6699" name="__module.model.gpt_neox.layers.30.attention/aten::size/Gather_7" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="1" precision="I64" />
-				<port id="2" precision="I32" />
-			</input>
-			<output>
-				<port id="3" precision="I64" names="4847,4852" />
-			</output>
-		</layer>
-		<layer id="6700" name="__module.model.gpt_neox.layers.30.attention/aten::floor_divide/Divide_3" type="Divide" version="opset1">
-			<data auto_broadcast="numpy" m_pythondiv="true" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
-			</input>
-			<output>
-				<port id="2" precision="I64" />
-			</output>
-		</layer>
-		<layer id="6701" name="__module.model.gpt_neox.layers.30.attention/aten::floor_divide/Floor_3" type="Floor" version="opset1">
-			<input>
-				<port id="0" precision="I64" />
-			</input>
-			<output>
-				<port id="1" precision="I64" names="4849,4850,4854,4855" />
-			</output>
-		</layer>
-		<layer id="6702" name="Constant_337888" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886946" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="4299" name="Constant_40317" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559280" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6703" name="__module.model.gpt_neox.layers.30.attention/aten::slice/Unsqueeze_33" type="Reshape" version="opset1">
-			<data special_zero="false" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="I64">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="6704" name="Constant_305059" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="258211866" size="4" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="4300" name="Constant_40318" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="2" size="8" />
 			<output>
-				<port id="0" precision="I32">
-					<dim>1</dim>
-				</port>
+				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="6705" name="ScatterUpdate_305062" type="ScatterUpdate" version="opset3">
+		<layer id="4301" name="Gather_40319" type="Gather" version="opset8">
+			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
 					<dim>4</dim>
@@ -102364,43 +66849,16 @@
 				<port id="1" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="2" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="I32">
-					<dim>1</dim>
-				</port>
+				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="4" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="6706" name="Constant_305065" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
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 		</layer>
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-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="4302" name="ShapeOf_40320" type="ShapeOf" version="opset3">
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 		</layer>
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-			<data element_type="f16" shape="1, 1, 1, 1" offset="297887002" size="2" />
+		<layer id="4303" name="Constant_40321" type="Const" version="opset1">
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 		</layer>
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-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
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+		<layer id="4304" name="Constant_40322" type="Const" version="opset1">
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+				<port id="0" precision="I64" />
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+		</layer>
+		<layer id="4305" name="Gather_40323" type="Gather" version="opset8">
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 		</layer>
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-				<port id="0" precision="FP32">
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 					<dim>32</dim>
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 					<dim>80</dim>
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-				<port id="1" precision="FP32">
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 			<output>
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+				<port id="4" precision="FP32" names="3704,attn_output.233">
 					<dim>-1</dim>
 					<dim>32</dim>
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@@ -102585,8 +66995,15 @@
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 		</layer>
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-			<data auto_broadcast="numpy" />
+		<layer id="4310" name="__module.model.gpt_neox.layers.29.attention/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="297559312" size="16" />
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+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4311" name="__module.model.gpt_neox.layers.29.attention/aten::transpose/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -102594,856 +67011,823 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
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-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
+				<port id="1" precision="I32">
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 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4861,4865">
+				<port id="2" precision="FP32" names="3705">
 					<dim>-1</dim>
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 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>80</dim>
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 		</layer>
-		<layer id="6718" name="__module.model.gpt_neox.layers.30.attention/aten::to/Convert_1" type="Concat" version="opset1">
-			<data axis="-2" />
+		<layer id="4312" name="Constant_40564" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="297559328" size="24" />
+			<rt_info>
+				<attribute name="precise" version="0" />
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+			<output>
+				<port id="0" precision="I64">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4313" name="__module.model.gpt_neox.layers.29.attention/aten::view/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
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 				<port id="0" precision="FP32">
 					<dim>-1</dim>
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 					<dim>-1</dim>
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 					<dim>80</dim>
 				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
 			</input>
 			<output>
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+				<port id="2" precision="FP32" names="3708">
 					<dim>-1</dim>
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 					<dim>-1</dim>
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 		</layer>
-		<layer id="6719" name="Constant_433431_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="" offset="0" size="2" />
+		<layer id="4314" name="self.model.gpt_neox.layers.29.attention.dense.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="2560, 2560" offset="4860795192" size="13107200" />
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+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.29.attention.dense.weight">
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+					<dim>2560</dim>
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 			</output>
 		</layer>
-		<layer id="6720" name="Constant_433431" type="Convert" version="opset1">
+		<layer id="4315" name="self.model.gpt_neox.layers.29.attention.dense.weight" type="Convert" version="opset1">
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 			<rt_info>
 				<attribute name="decompression" version="0" />
 			</rt_info>
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+					<dim>2560</dim>
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-				<port id="0" precision="I64">
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+					<dim>2560</dim>
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-		<layer id="6722" name="Constant_433426" type="Const" version="opset1">
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+		<layer id="4316" name="__module.model.gpt_neox.layers.29.attention.dense/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
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+		<layer id="4318" name="Constant_37140" type="Convert" version="opset1">
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 			<output>
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@@ -103454,53 +67838,73 @@
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 					<dim>1</dim>
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+				<port id="4" precision="I64">
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@@ -103536,599 +67959,604 @@
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+		<layer id="4371" name="Constant_19829" type="Const" version="opset1">
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-					<dim>-1</dim>
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-					<dim>80</dim>
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 		</layer>
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 			<output>
 				<port id="0" precision="I64">
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+		<layer id="4373" name="__module.model.gpt_neox.layers.30.attention/aten::slice/Slice_2" type="Slice" version="opset8">
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+		<layer id="4375" name="Constant_37146" type="Convert" version="opset1">
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+			<data element_type="i64" shape="1" offset="297559106" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4415" name="__module.model.gpt_neox.layers.30.attention/aten::slice/Slice_8" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="FP16">
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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+				<port id="4" precision="I64">
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 			<output>
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-					<dim>1</dim>
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+				<port id="5" precision="FP32" names="3792">
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 		</layer>
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-			<data auto_broadcast="numpy" />
+		<layer id="4416" name="__module.model.gpt_neox.layers.30.attention/aten::cat/Concat_2" type="Concat" version="opset1">
+			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
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 				</port>
 				<port id="1" precision="FP32">
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-					<dim>1</dim>
-					<dim>2560</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4934">
+				<port id="2" precision="FP32" names="3800">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
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+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
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-			<data element_type="f16" shape="7680, 2560" offset="5141013890" size="39321600" />
+		<layer id="4417" name="__module.model.gpt_neox.layers.30.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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+			</input>
 			<output>
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-					<dim>7680</dim>
-					<dim>2560</dim>
+				<port id="2" precision="FP32" names="3801">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6824" name="self.model.gpt_neox.layers.31.attention.query_key_value.weight" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
+		<layer id="4418" name="__module.model.gpt_neox.layers.30.attention/aten::add/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="FP16">
-					<dim>7680</dim>
-					<dim>2560</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
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 			</input>
 			<output>
-				<port id="1" precision="FP32">
-					<dim>7680</dim>
-					<dim>2560</dim>
+				<port id="2" precision="FP32" names="3802,3806">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
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-			<data transpose_a="false" transpose_b="true" />
+		<layer id="4419" name="__module.model.gpt_neox.layers.30.attention/aten::cat/Concat_4" type="Concat" version="opset1">
+			<data axis="-2" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
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 					<dim>-1</dim>
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+					<dim>80</dim>
 				</port>
 				<port id="1" precision="FP32">
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-					<dim>2560</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
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+				<port id="2" precision="FP32" names="present.30.key">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
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 				</port>
 			</output>
 		</layer>
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-			<data element_type="f16" shape="1, 1, 7680" offset="5180335490" size="15360" />
+		<layer id="4420" name="Constant_52834_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="" offset="0" size="2" />
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-					<dim>1</dim>
-					<dim>7680</dim>
-				</port>
+				<port id="0" precision="FP16" />
 			</output>
 		</layer>
-		<layer id="6827" name="Constant_325503" type="Convert" version="opset1">
+		<layer id="4421" name="Constant_52834" type="Convert" version="opset1">
 			<data destination_type="f32" />
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 				<attribute name="decompression" version="0" />
 			</rt_info>
 			<input>
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+				<port id="0" precision="FP16" />
+			</input>
+			<output>
+				<port id="1" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="4422" name="Constant_52827" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="10" size="8" />
+			<output>
+				<port id="0" precision="I64">
 					<dim>1</dim>
-					<dim>7680</dim>
 				</port>
-			</input>
+			</output>
+		</layer>
+		<layer id="4423" name="Constant_52829" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
-				<port id="1" precision="FP32">
+				<port id="0" precision="I64">
 					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4424" name="Constant_52831" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="18" size="8" />
+			<output>
+				<port id="0" precision="I64">
 					<dim>1</dim>
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 				</port>
 			</output>
 		</layer>
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-			<data auto_broadcast="numpy" />
+		<layer id="4425" name="Concat_52832" type="Concat" version="opset1">
+			<data axis="0" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>7680</dim>
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 				</port>
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+				<port id="1" precision="I64">
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+				</port>
+				<port id="2" precision="I64">
 					<dim>1</dim>
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+				<port id="3" precision="I64">
 					<dim>1</dim>
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 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4941,qkv.125">
-					<dim>-1</dim>
+				<port id="4" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4426" name="Broadcast_52835" type="Broadcast" version="opset3">
+			<data mode="numpy" />
+			<input>
+				<port id="0" precision="FP32" />
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
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+					<dim>32</dim>
+					<dim>0</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="4427" name="ReadValue_49832" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.30.valuepresent.30.value" variable_type="f32" variable_shape="?,32,?,80" />
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+				<port id="0" precision="FP32">
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+					<dim>32</dim>
+					<dim>0</dim>
+					<dim>80</dim>
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 			<output>
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-					<dim>4</dim>
+				<port id="1" precision="FP32" names="past_key_values.30.value">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
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-			<data special_zero="true" />
+		<layer id="4428" name="Constant_47512" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="2" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="4429" name="Gather_47513" type="Gather" version="opset8">
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 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
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 					<dim>-1</dim>
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+					<dim>80</dim>
 				</port>
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+				<port id="1" precision="I32">
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 				</port>
+				<port id="2" precision="I64" />
 			</input>
 			<output>
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-					<dim>-1</dim>
+				<port id="3" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
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+					<dim>-1</dim>
+					<dim>80</dim>
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 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="4430" name="Constant_19651" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559264" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="4431" name="Constant_19653" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559254" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="4432" name="Constant_19655" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="4433" name="__module.model.gpt_neox.layers.30.attention/aten::slice/Slice_10" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -104397,17 +68919,20 @@
 					<dim>240</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
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 				</port>
 				<port id="2" precision="I64">
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+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4952">
+				<port id="5" precision="FP32" names="3762">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
@@ -104415,15 +68940,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6835" name="Constant_18261" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559202" size="32" />
+		<layer id="4434" name="Constant_19664" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="297559122" size="32" />
 			<output>
-				<port id="0" precision="I64" names="4953">
+				<port id="0" precision="I64" names="3763">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6836" name="__module.model.gpt_neox.layers.31.attention/aten::permute/Transpose" type="Transpose" version="opset1">
+		<layer id="4435" name="__module.model.gpt_neox.layers.30.attention/aten::permute/Transpose_2" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -104436,7 +68961,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4954">
+				<port id="2" precision="FP32" names="3764">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -104444,7 +68969,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6837" name="__module.model.gpt_neox.layers.31.attention/aten::cat/Concat" type="Concat" version="opset1">
+		<layer id="4436" name="__module.model.gpt_neox.layers.30.attention/aten::cat/Concat_5" type="Concat" version="opset1">
 			<data axis="-2" />
 			<input>
 				<port id="0" precision="FP32">
@@ -104461,7 +68986,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="present.31.value">
+				<port id="2" precision="FP32" names="present.30.value">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -104469,50 +68994,110 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6839" name="Constant_433444_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="" offset="0" size="2" />
+		<layer id="4437" name="Constant_20046" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
-				<port id="0" precision="FP16" />
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="6840" name="Constant_433444" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
+		<layer id="4438" name="ShapeOf_40389" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
 			<input>
-				<port id="0" precision="FP16" />
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" />
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="6841" name="Constant_433437" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="10" size="8" />
+		<layer id="4439" name="Constant_40390" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559280" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6842" name="Constant_433439" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="2" size="8" />
+		<layer id="4440" name="Constant_40391" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="2" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="4441" name="Gather_40392" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64" />
+			</input>
+			<output>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4442" name="ShapeOf_40393" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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@@ -104520,697 +69105,817 @@
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+		<layer id="4489" name="Constant_37152" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
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+					<dim>2560</dim>
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+				<port id="1" precision="FP32">
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-		<layer id="6886" name="Constant_305297" type="Const" version="opset1">
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 					<dim>1</dim>
+					<dim>2560</dim>
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 			</output>
 		</layer>
-		<layer id="6887" name="ScatterUpdate_305300" type="ScatterUpdate" version="opset3">
+		<layer id="4490" name="__module.model.gpt_neox.layers.31.input_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
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-				<port id="1" precision="I64">
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+					<dim>-1</dim>
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+				<port id="2" precision="FP32" names="3856,hidden_states.125">
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+					<dim>-1</dim>
+					<dim>2560</dim>
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 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="4491" name="self.model.gpt_neox.layers.31.attention.query_key_value.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="7680, 2560" offset="5136164152" size="39321600" />
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+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.31.attention.query_key_value.weight">
+					<dim>7680</dim>
+					<dim>2560</dim>
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 			</output>
 		</layer>
-		<layer id="6889" name="Constant_305306" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559170" size="32" />
+		<layer id="4492" name="self.model.gpt_neox.layers.31.attention.query_key_value.weight" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="precise" version="0" />
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>7680</dim>
+					<dim>2560</dim>
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+				<port id="1" precision="FP32">
+					<dim>7680</dim>
+					<dim>2560</dim>
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 		</layer>
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-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="4493" name="__module.model.gpt_neox.layers.31.attention.query_key_value/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
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 				<port id="0" precision="FP32">
 					<dim>-1</dim>
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-				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>2560</dim>
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-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>7680</dim>
+					<dim>2560</dim>
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 			</input>
 			<output>
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 					<dim>-1</dim>
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 					<dim>-1</dim>
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 		</layer>
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-			<data element_type="f16" shape="1, 1, 1, 1" offset="297887002" size="2" />
+		<layer id="4494" name="Constant_37153_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 7680" offset="5175485752" size="15360" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+					<dim>7680</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6892" name="Constant_325504" type="Convert" version="opset1">
+		<layer id="4495" name="Constant_37153" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -105219,46 +69924,41 @@
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 					<dim>1</dim>
 					<dim>1</dim>
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 			</input>
 			<output>
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 					<dim>1</dim>
 					<dim>1</dim>
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 			</output>
 		</layer>
-		<layer id="6893" name="__module.model.gpt_neox.layers.31.attention/aten::neg/Multiply" type="Multiply" version="opset1">
+		<layer id="4496" name="__module.model.gpt_neox.layers.31.attention.query_key_value/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
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 					<dim>-1</dim>
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 				<port id="1" precision="FP32">
 					<dim>1</dim>
 					<dim>1</dim>
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="5006">
+				<port id="2" precision="FP32" names="3863,qkv.125">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>40</dim>
+					<dim>7680</dim>
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 			</output>
 		</layer>
-		<layer id="6894" name="Constant_305351" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559106" size="32" />
+		<layer id="4497" name="__module.model.gpt_neox.layers.31.attention/prim::ListConstruct" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="297559074" size="32" />
 			<rt_info>
 				<attribute name="precise" version="0" />
 			</rt_info>
@@ -105268,63 +69968,128 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6895" name="Constant_305356" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559170" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="4498" name="__module.model.gpt_neox.layers.31.attention/aten::view/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>7680</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="3867,qkv">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>240</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4499" name="Constant_20281" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559264" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4500" name="Constant_20283" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559254" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4501" name="Constant_20285" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6896" name="__module.model.gpt_neox.layers.31.attention/aten::slice/Slice_4" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="4502" name="__module.model.gpt_neox.layers.31.attention/aten::slice/Slice" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>32</dim>
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 				</port>
 				<port id="1" precision="I64">
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 				</port>
 				<port id="2" precision="I64">
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+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="5" precision="FP32" names="3874">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4503" name="Constant_20294" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="297559122" size="32" />
+			<output>
+				<port id="0" precision="I64" names="3875">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4504" name="__module.model.gpt_neox.layers.31.attention/aten::permute/Transpose" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="I64">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
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 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
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+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6897" name="__module.model.gpt_neox.layers.31.attention/aten::cat/Concat_1" type="Concat" version="opset1">
-			<data axis="-1" />
+		<layer id="4505" name="__module.model.gpt_neox.layers.31.attention/aten::cat/Concat" type="Concat" version="opset1">
+			<data axis="-2" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>40</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>40</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="5008">
+				<port id="2" precision="FP32" names="present.31.value">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -105332,61 +70097,53 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6898" name="self.model.gpt_neox.layers.31.attention.rotary_emb.sin_cached_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="2048, 80" offset="297887004" size="327680" />
+		<layer id="4507" name="Constant_52846_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="" offset="0" size="2" />
 			<output>
-				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.31.attention.rotary_emb.sin_cached">
-					<dim>2048</dim>
-					<dim>80</dim>
-				</port>
+				<port id="0" precision="FP16" />
 			</output>
 		</layer>
-		<layer id="6899" name="self.model.gpt_neox.layers.31.attention.rotary_emb.sin_cached" type="Convert" version="opset1">
+		<layer id="4508" name="Constant_52846" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
 			</rt_info>
 			<input>
-				<port id="0" precision="FP16">
-					<dim>2048</dim>
-					<dim>80</dim>
-				</port>
+				<port id="0" precision="FP16" />
 			</input>
 			<output>
-				<port id="1" precision="FP32">
-					<dim>2048</dim>
-					<dim>80</dim>
+				<port id="1" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="4509" name="Constant_52839" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="10" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6900" name="__module.model.gpt_neox.layers.31.attention.rotary_emb/aten::slice/Unsqueeze_4" type="Const" version="opset1">
+		<layer id="4510" name="Constant_52841" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="2" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
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 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6901" name="__module.model.gpt_neox.layers.31.attention.rotary_emb/aten::slice/Unsqueeze_6" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886946" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="4511" name="Constant_52843" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="18" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6902" name="__module.model.gpt_neox.layers.31.attention.rotary_emb/aten::slice/Slice_1" type="StridedSlice" version="opset1">
-			<data begin_mask="0" end_mask="0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="4512" name="Concat_52844" type="Concat" version="opset1">
+			<data axis="0" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>2048</dim>
-					<dim>80</dim>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -105399,75 +70156,40 @@
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4969,4972,sin.125">
-					<dim>-1</dim>
-					<dim>80</dim>
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-			</output>
-		</layer>
-		<layer id="6903" name="Constant_38416" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="258211866" size="4" />
-			<output>
-				<port id="0" precision="I32" />
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-		<layer id="6904" name="__module.model.gpt_neox.layers.31.attention/aten::index/Gather_1" type="Gather" version="opset8">
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-			<input>
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-					<dim>80</dim>
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-				<port id="1" precision="I32">
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-					<dim>-1</dim>
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-			<output>
-				<port id="3" precision="FP32" names="4977">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
+				<port id="4" precision="I64">
+					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6905" name="__module.model.gpt_neox.layers.31.attention/aten::unsqueeze/Unsqueeze_1" type="Unsqueeze" version="opset1">
+		<layer id="4513" name="Broadcast_52847" type="Broadcast" version="opset3">
+			<data mode="numpy" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
+				<port id="0" precision="FP32" />
+				<port id="1" precision="I64">
+					<dim>4</dim>
 				</port>
-				<port id="1" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4978,sin">
-					<dim>-1</dim>
-					<dim>1</dim>
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>0</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6906" name="__module.model.gpt_neox.layers.31.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="4514" name="ReadValue_49834" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.31.keypresent.31.key" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
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-					<dim>80</dim>
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-				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>1</dim>
-					<dim>-1</dim>
+					<dim>0</dim>
 					<dim>80</dim>
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 			</input>
 			<output>
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 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -105475,33 +70197,14 @@
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 			</output>
 		</layer>
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-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-			</input>
+		<layer id="4515" name="Constant_47515" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="2" size="8" />
 			<output>
-				<port id="2" precision="FP32" names="5010,5014">
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-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
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+				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="6908" name="__module.model.gpt_neox.layers.31.attention/aten::to/Convert" type="Concat" version="opset1">
-			<data axis="-2" />
+		<layer id="4516" name="Gather_47516" type="Gather" version="opset8">
+			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -105509,15 +70212,13 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
+				<port id="1" precision="I32">
 					<dim>-1</dim>
-					<dim>80</dim>
 				</port>
+				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="present.31.key">
+				<port id="3" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -105525,41 +70226,31 @@
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 			</output>
 		</layer>
-		<layer id="6960" name="Constant_305402" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="4517" name="Constant_20263" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="18" size="8" />
 			<output>
 				<port id="0" precision="I64">
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+					<dim>1</dim>
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 			</output>
 		</layer>
-		<layer id="6961" name="Constant_305405" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="4518" name="Constant_20265" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559264" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6962" name="Constant_305408" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="4519" name="Constant_20267" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
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 			</output>
 		</layer>
-		<layer id="6963" name="__module.model.gpt_neox.layers.31.attention/aten::slice/Slice_6" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="4520" name="__module.model.gpt_neox.layers.31.attention/aten::slice/Slice_1" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -105568,17 +70259,20 @@
 					<dim>240</dim>
 				</port>
 				<port id="1" precision="I64">
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+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
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+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
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+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
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+				<port id="5" precision="FP32" names="3871">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
@@ -105586,15 +70280,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6964" name="Constant_18233" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559202" size="32" />
+		<layer id="4521" name="Constant_20276" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="297559122" size="32" />
 			<output>
-				<port id="0" precision="I64" names="4947">
+				<port id="0" precision="I64" names="3872">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6965" name="__module.model.gpt_neox.layers.31.attention/aten::permute/Transpose_2" type="Transpose" version="opset1">
+		<layer id="4522" name="__module.model.gpt_neox.layers.31.attention/aten::permute/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -105607,7 +70301,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4948,query.187">
+				<port id="2" precision="FP32" names="3873,key.125">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -105615,41 +70309,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6966" name="Constant_305414" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559106" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="4523" name="Constant_20319" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6967" name="Constant_305417" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559138" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="4524" name="Constant_20321" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="18" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6968" name="Constant_305420" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559170" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="4525" name="Constant_20323" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6969" name="__module.model.gpt_neox.layers.31.attention/aten::slice/Slice_7" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="4526" name="__module.model.gpt_neox.layers.31.attention/aten::slice/Slice_2" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -105658,17 +70342,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4955,q">
+				<port id="5" precision="FP32" names="3879,k">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -105676,7 +70363,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6970" name="__module.model.gpt_neox.layers.31.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
+		<layer id="4527" name="__module.model.gpt_neox.layers.31.attention/aten::mul/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -105693,7 +70380,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4979">
+				<port id="2" precision="FP32" names="3899">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -105701,165 +70388,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6971" name="Constant_305424" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559106" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
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-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="6972" name="Constant_305423" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886962" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="4528" name="Constant_20600" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559246" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6973" name="__module.model.gpt_neox.layers.31.attention/aten::size/ShapeOf_7" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="6974" name="__module.model.gpt_neox.layers.31.attention/aten::size/Constant_7" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="258211866" size="4" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I32" />
-			</output>
-		</layer>
-		<layer id="6975" name="__module.model.gpt_neox.layers.31.attention/aten::size/Gather_7" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="1" precision="I64" />
-				<port id="2" precision="I32" />
-			</input>
-			<output>
-				<port id="3" precision="I64" names="4980,4985" />
-			</output>
-		</layer>
-		<layer id="6976" name="__module.model.gpt_neox.layers.31.attention/aten::floor_divide/Divide_3" type="Divide" version="opset1">
-			<data auto_broadcast="numpy" m_pythondiv="true" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
-			</input>
-			<output>
-				<port id="2" precision="I64" />
-			</output>
-		</layer>
-		<layer id="6977" name="__module.model.gpt_neox.layers.31.attention/aten::floor_divide/Floor_3" type="Floor" version="opset1">
-			<input>
-				<port id="0" precision="I64" />
-			</input>
-			<output>
-				<port id="1" precision="I64" names="4982,4983,4987,4988" />
-			</output>
-		</layer>
-		<layer id="6978" name="Constant_337898" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886946" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="4529" name="Constant_20602" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559254" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6979" name="__module.model.gpt_neox.layers.31.attention/aten::slice/Unsqueeze_37" type="Reshape" version="opset1">
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-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
-					<dim>1</dim>
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-			</input>
-			<output>
-				<port id="2" precision="I64">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="6980" name="Constant_305422" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="258211866" size="4" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="4530" name="Constant_20604" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
 			<output>
-				<port id="0" precision="I32">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="6981" name="ScatterUpdate_305425" type="ScatterUpdate" version="opset3">
-			<input>
 				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>1</dim>
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-				<port id="2" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="I32">
 					<dim>1</dim>
 				</port>
-			</input>
-			<output>
-				<port id="4" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="6982" name="Constant_305428" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
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-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
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-		</layer>
-		<layer id="6983" name="Constant_305431" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559170" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
 			</output>
 		</layer>
-		<layer id="6984" name="__module.model.gpt_neox.layers.31.attention/aten::slice/Slice_8" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="4531" name="__module.model.gpt_neox.layers.31.attention/aten::slice/Slice_3" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -105868,17 +70421,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4989,x2.125">
+				<port id="5" precision="FP32" names="3909,x2">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -105886,8 +70442,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6985" name="Constant_325505_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 1, 1" offset="297887002" size="2" />
+		<layer id="4532" name="Constant_37154_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 1, 1" offset="297559262" size="2" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -105897,7 +70453,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6986" name="Constant_325505" type="Convert" version="opset1">
+		<layer id="4533" name="Constant_37154" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -105919,7 +70475,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6987" name="__module.model.gpt_neox.layers.31.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
+		<layer id="4534" name="__module.model.gpt_neox.layers.31.attention/aten::neg/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -105936,7 +70492,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4990">
+				<port id="2" precision="FP32" names="3910">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -105944,30 +70500,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6988" name="Constant_305476" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559106" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="4535" name="Constant_20497" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6989" name="Constant_305481" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="4536" name="Constant_20541" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
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+			</output>
+		</layer>
+		<layer id="4537" name="Constant_20543" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="4538" name="__module.model.gpt_neox.layers.31.attention/aten::slice/Slice_4" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
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@@ -105976,17 +70533,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
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 				</port>
 				<port id="3" precision="I64">
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+					<dim>1</dim>
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+				<port id="4" precision="I64">
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 				</port>
 			</input>
 			<output>
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+				<port id="5" precision="FP32" names="3904">
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 					<dim>32</dim>
 					<dim>-1</dim>
@@ -105994,24 +70554,49 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6991" name="__module.model.gpt_neox.layers.31.attention/aten::cat/Concat_4" type="Concat" version="opset1">
+		<layer id="4539" name="__module.model.gpt_neox.layers.31.attention/aten::cat/Concat_1" type="Concat" version="opset1">
 			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>40</dim>
+					<dim>40</dim>
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+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="3912">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4540" name="__module.model.gpt_neox.layers.31.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="FP32">
 					<dim>-1</dim>
-					<dim>32</dim>
+					<dim>1</dim>
 					<dim>-1</dim>
-					<dim>40</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4992">
+				<port id="2" precision="FP32" names="3913">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -106019,7 +70604,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6992" name="__module.model.gpt_neox.layers.31.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
+		<layer id="4541" name="__module.model.gpt_neox.layers.31.attention/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -106030,13 +70615,13 @@
 				</port>
 				<port id="1" precision="FP32">
 					<dim>-1</dim>
-					<dim>1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4993">
+				<port id="2" precision="FP32" names="3914,3918">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -106044,8 +70629,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6993" name="__module.model.gpt_neox.layers.31.attention/aten::add/Add_1" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="4542" name="__module.model.gpt_neox.layers.31.attention/aten::cat/Concat_3" type="Concat" version="opset1">
+			<data axis="-2" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -106061,7 +70646,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4994,5012,5022,query,query.189">
+				<port id="2" precision="FP32" names="present.31.key">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -106069,297 +70654,199 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6994" name="__module.model.gpt_neox.layers.31.attention/aten::slice/Slice_11" type="Const" version="opset1">
-			<data element_type="boolean" shape="1, 1, 2048, 2048" offset="298214684" size="4194304" />
+		<layer id="4594" name="Constant_20245" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
-				<port id="0" precision="BOOL" names="5031">
-					<dim>1</dim>
+				<port id="0" precision="I64">
 					<dim>1</dim>
-					<dim>2048</dim>
-					<dim>2048</dim>
 				</port>
 			</output>
 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="4595" name="Constant_20247" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="18" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>3</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-			<data element_type="i64" shape="1" offset="297886954" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="4596" name="Constant_20249" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6997" name="ShapeOf_340740" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="4597" name="__module.model.gpt_neox.layers.31.attention/aten::slice/Slice_6" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
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+					<dim>240</dim>
 				</port>
-			</input>
-			<output>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
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-		</layer>
-		<layer id="6998" name="Constant_340741" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="297886954" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
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-			<output>
-				<port id="0" precision="I64" />
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-		<layer id="6999" name="Constant_340742" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
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-			<output>
-				<port id="0" precision="I64" />
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-		<layer id="7000" name="Gather_340743" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="I64">
+					<dim>1</dim>
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+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
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 			</input>
 			<output>
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-			<data output_type="i64" />
-			<input>
-				<port id="0" precision="FP32">
+				<port id="5" precision="FP32" names="3868">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>80</dim>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="4598" name="Constant_20258" type="Const" version="opset1">
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 			<output>
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-			<data batch_dims="0" />
-			<input>
-				<port id="0" precision="I64">
+				<port id="0" precision="I64" names="3869">
 					<dim>4</dim>
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-			<output>
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-				<port id="1" precision="I64" />
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 			</output>
 		</layer>
-		<layer id="7006" name="ShapeOf_340815" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="4599" name="__module.model.gpt_neox.layers.31.attention/aten::permute/Transpose_2" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
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 					<dim>-1</dim>
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 					<dim>80</dim>
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 				<port id="1" precision="I64">
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-			<rt_info>
-				<attribute name="precise" version="0" />
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 			<output>
-				<port id="0" precision="I64" />
+				<port id="2" precision="FP32" names="3870,query">
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+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
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-			<input>
 				<port id="0" precision="I64">
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-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
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+		<layer id="4601" name="Constant_20301" type="Const" version="opset1">
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 			<output>
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+		<layer id="4602" name="Constant_20303" type="Const" version="opset1">
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 			<input>
-				<port id="0" precision="I64" />
+				<port id="0" precision="FP32">
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+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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 				<port id="1" precision="I64">
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-				<port id="0" precision="I32">
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+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
 					<dim>1</dim>
 				</port>
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+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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 			</output>
 		</layer>
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+		<layer id="4604" name="__module.model.gpt_neox.layers.31.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
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-				<port id="2" precision="I64">
-					<dim>1</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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-				<port id="3" precision="I32">
+				<port id="1" precision="FP32">
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 					<dim>1</dim>
+					<dim>-1</dim>
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 			<output>
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-					<dim>3</dim>
+				<port id="2" precision="FP32" names="3883">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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 				<port id="0" precision="I64">
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 		</layer>
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-				<attribute name="precise" version="0" />
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+		<layer id="4606" name="Constant_20459" type="Const" version="opset1">
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 				<port id="0" precision="I64">
 					<dim>1</dim>
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-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
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-			</input>
+		<layer id="4607" name="Constant_20461" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
 			<output>
-				<port id="2" precision="I64">
+				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7018" name="ScatterUpdate_305527" type="ScatterUpdate" version="opset3">
+		<layer id="4608" name="__module.model.gpt_neox.layers.31.attention/aten::slice/Slice_8" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64">
-					<dim>3</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -106367,103 +70854,111 @@
 				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
+				<port id="3" precision="I64">
+					<dim>1</dim>
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+				<port id="4" precision="I64">
 					<dim>1</dim>
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 			</input>
 			<output>
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+				<port id="5" precision="FP32" names="3893,x2.125">
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+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
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 		</layer>
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-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="4609" name="Constant_37155_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 1, 1" offset="297559262" size="2" />
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+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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 		</layer>
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-			<data begin_mask="1, 1, 0" end_mask="1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="4610" name="Constant_37155" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
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+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
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 			</input>
 			<output>
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+				<port id="1" precision="FP32">
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 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="4611" name="__module.model.gpt_neox.layers.31.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
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+					<dim>40</dim>
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+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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 			<output>
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+				<port id="2" precision="FP32" names="3894">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="4612" name="Constant_20354" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
 			<output>
 				<port id="0" precision="I64">
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+					<dim>1</dim>
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 			</output>
 		</layer>
-		<layer id="7023" name="Constant_305600" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="4613" name="Constant_20398" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559246" size="8" />
 			<output>
 				<port id="0" precision="I64">
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 			</output>
 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="4614" name="Constant_20400" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
 			<output>
-				<port id="0" precision="I32">
+				<port id="0" precision="I64">
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 				</port>
 			</output>
 		</layer>
-		<layer id="7025" name="ScatterUpdate_305605" type="ScatterUpdate" version="opset3">
+		<layer id="4615" name="__module.model.gpt_neox.layers.31.attention/aten::slice/Slice_9" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -106471,133 +70966,113 @@
 				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
+				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
-			</input>
-			<output>
 				<port id="4" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="7026" name="Constant_305608" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+			</input>
 			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="5" precision="FP32" names="3888">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7027" name="__module.model.gpt_neox.layers.31.attention/aten::slice/Slice_13" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="4616" name="__module.model.gpt_neox.layers.31.attention/aten::cat/Concat_4" type="Concat" version="opset1">
+			<data axis="-1" />
 			<input>
-				<port id="0" precision="BOOL">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>2048</dim>
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-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
-				<port id="3" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="BOOL" names="5033,5034">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="3896">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7028" name="__module.model.gpt_neox.layers.31.attention/aten::where/Convert_1_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="" offset="0" size="2" />
-			<output>
-				<port id="0" precision="FP16" />
-			</output>
-		</layer>
-		<layer id="7029" name="__module.model.gpt_neox.layers.31.attention/aten::where/Convert_1" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
-			<input>
-				<port id="0" precision="FP16" />
-			</input>
-			<output>
-				<port id="1" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="7030" name="__module.model.gpt_neox.layers.31.attention/aten::full/Convert" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="302409036" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="5021" />
-			</output>
-		</layer>
-		<layer id="7031" name="__module.model.gpt_neox.layers.31.attention/aten::where/Select" type="Select" version="opset1">
+		<layer id="4617" name="__module.model.gpt_neox.layers.31.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="BOOL">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-				<port id="1" precision="FP32" />
-				<port id="2" precision="FP32" />
 			</input>
 			<output>
-				<port id="3" precision="FP32" names="5035,causal_mask.125">
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-					<dim>1</dim>
+				<port id="2" precision="FP32" names="3897">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7032" name="Add_317220" type="Add" version="opset1">
+		<layer id="4618" name="__module.model.gpt_neox.layers.31.attention/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="FP32">
 					<dim>-1</dim>
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-					<dim>1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
-					<dim>-1</dim>
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="3898,3916">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4619" name="Constant_20676" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7033" name="ShapeOf_317221" type="ShapeOf" version="opset3">
+		<layer id="4620" name="ShapeOf_40462" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>1</dim>
-					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
@@ -106606,27 +71081,21 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7034" name="Constant_340821" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="2" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="4621" name="Constant_40463" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559280" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7035" name="Constant_340822" type="Const" version="opset1">
+		<layer id="4622" name="Constant_40464" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="2" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
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 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="7036" name="Gather_340823" type="Gather" version="opset8">
+		<layer id="4623" name="Gather_40465" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -106638,84 +71107,83 @@
 				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="5019">
+				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7037" name="Constant_268271" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886946" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="4624" name="ShapeOf_40466" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
+				<port id="1" precision="I64">
+					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7038" name="Constant_268273" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886946" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="4625" name="Constant_40467" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559280" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7039" name="Constant_268275" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="297886946" size="8" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="4626" name="Constant_40468" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="2" size="8" />
 			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
-				</port>
+				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="7040" name="__module.model.gpt_neox.layers.31.attention/prim::ListConstruct/Concat_1" type="Concat" version="opset1">
-			<data axis="0" />
+		<layer id="4627" name="Gather_40469" type="Gather" version="opset8">
+			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
-					<dim>1</dim>
+					<dim>4</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="2" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="I64">
-					<dim>1</dim>
-				</port>
+				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="4" precision="I64" names="5036">
-					<dim>4</dim>
+				<port id="3" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7041" name="Maximum_317222" type="Maximum" version="opset1">
+		<layer id="4628" name="Add_40470" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="I64" names="3923">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7042" name="__module.model.gpt_neox.layers.31.attention/aten::add/Add_2" type="Broadcast" version="opset3">
-			<data mode="numpy" />
+		<layer id="4629" name="Constant_20679" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="297559106" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4630" name="__module.model.gpt_neox.layers.31.attention/aten::slice/Slice_14" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -106724,11 +71192,20 @@
 					<dim>-1</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="5038">
+				<port id="5" precision="FP32" names="3927">
 					<dim>-1</dim>
 					<dim>1</dim>
 					<dim>-1</dim>
@@ -106736,7 +71213,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7043" name="__module.model.gpt_neox.layers.31.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+		<layer id="4631" name="__module.model.gpt_neox.layers.31.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
 			<data causal="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -106765,7 +71242,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="5039,5040,sdpa_result,tensor.125">
+				<port id="4" precision="FP32" names="3928,attn_output.249">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -106773,15 +71250,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7044" name="Constant_18702" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="297559202" size="32" />
+		<layer id="4632" name="__module.model.gpt_neox.layers.31.attention/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="297559312" size="16" />
 			<output>
-				<port id="0" precision="I64" names="5041">
+				<port id="0" precision="I32">
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 		</layer>
-		<layer id="7045" name="__module.model.gpt_neox.layers.31.attention/aten::permute/Transpose_3" type="Transpose" version="opset1">
+		<layer id="4633" name="__module.model.gpt_neox.layers.31.attention/aten::transpose/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
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@@ -106789,12 +71266,12 @@
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 					<dim>80</dim>
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-				<port id="1" precision="I64">
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 			<output>
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+				<port id="2" precision="FP32" names="3929">
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 					<dim>-1</dim>
 					<dim>32</dim>
@@ -106802,8 +71279,8 @@
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 			</output>
 		</layer>
-		<layer id="7046" name="__module.model.gpt_neox.layers.31.attention/prim::ListConstruct/Concat_2" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="302409066" size="24" />
+		<layer id="4634" name="Constant_40566" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="297559328" size="24" />
 			<rt_info>
 				<attribute name="precise" version="0" />
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@@ -106813,7 +71290,7 @@
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 		</layer>
-		<layer id="7047" name="__module.model.gpt_neox.layers.31.attention/aten::view/Reshape_1" type="Reshape" version="opset1">
+		<layer id="4635" name="__module.model.gpt_neox.layers.31.attention/aten::view/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -106827,15 +71304,15 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="5047">
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 					<dim>-1</dim>
 					<dim>2560</dim>
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 		</layer>
-		<layer id="7048" name="self.model.gpt_neox.layers.31.attention.dense.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="2560, 2560" offset="5180350850" size="13107200" />
+		<layer id="4636" name="self.model.gpt_neox.layers.31.attention.dense.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="2560, 2560" offset="5175501112" size="13107200" />
 			<output>
 				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.31.attention.dense.weight">
 					<dim>2560</dim>
@@ -106843,7 +71320,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7049" name="self.model.gpt_neox.layers.31.attention.dense.weight" type="Convert" version="opset1">
+		<layer id="4637" name="self.model.gpt_neox.layers.31.attention.dense.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -106861,7 +71338,7 @@
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 			</output>
 		</layer>
-		<layer id="7050" name="__module.model.gpt_neox.layers.31.attention.dense/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="4638" name="__module.model.gpt_neox.layers.31.attention.dense/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -106882,8 +71359,8 @@
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 			</output>
 		</layer>
-		<layer id="7051" name="Constant_325506_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 2560" offset="5193458050" size="5120" />
+		<layer id="4639" name="Constant_37156_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 2560" offset="5188608312" size="5120" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -106892,7 +71369,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7052" name="Constant_325506" type="Convert" version="opset1">
+		<layer id="4640" name="Constant_37156" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -106912,7 +71389,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7053" name="__module.model.gpt_neox.layers.31.attention.dense/aten::linear/Add" type="Add" version="opset1">
+		<layer id="4641" name="__module.model.gpt_neox.layers.31.attention.dense/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -106927,14 +71404,14 @@
 				</port>
 			</input>
 			<output>
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 					<dim>-1</dim>
 					<dim>2560</dim>
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 		</layer>
-		<layer id="7054" name="__module.model.gpt_neox.layers.31/aten::add/Add" type="Add" version="opset1">
+		<layer id="4642" name="__module.model.gpt_neox.layers.31/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -106949,14 +71426,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="5056,attn_output">
+				<port id="2" precision="FP32" names="3941,attn_output">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
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 			</output>
 		</layer>
-		<layer id="7055" name="__module.model.gpt_neox.layers.31.post_attention_layernorm/aten::layer_norm/Constant" type="Const" version="opset1">
+		<layer id="4643" name="__module.model.gpt_neox.layers.31.post_attention_layernorm/aten::layer_norm/Multiply" type="Const" version="opset1">
 			<data element_type="i32" shape="1" offset="258211870" size="4" />
 			<output>
 				<port id="0" precision="I32">
@@ -106964,7 +71441,7 @@
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 			</output>
 		</layer>
-		<layer id="7056" name="__module.model.gpt_neox.layers.31.post_attention_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
+		<layer id="4644" name="__module.model.gpt_neox.layers.31.post_attention_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -106984,8 +71461,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7057" name="Constant_325507_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 2560" offset="5193463170" size="5120" />
+		<layer id="4645" name="Constant_37157_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 2560" offset="5188613432" size="5120" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -106994,7 +71471,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7058" name="Constant_325507" type="Convert" version="opset1">
+		<layer id="4646" name="Constant_37157" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -107014,7 +71491,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7059" name="__module.model.gpt_neox.layers.31.post_attention_layernorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
+		<layer id="4647" name="__module.model.gpt_neox.layers.31.post_attention_layernorm/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -107036,8 +71513,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7060" name="Constant_325508_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 2560" offset="5193468290" size="5120" />
+		<layer id="4648" name="Constant_37158_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 2560" offset="5188618552" size="5120" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -107046,7 +71523,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7061" name="Constant_325508" type="Convert" version="opset1">
+		<layer id="4649" name="Constant_37158" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -107066,7 +71543,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7062" name="__module.model.gpt_neox.layers.31.post_attention_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="4650" name="__module.model.gpt_neox.layers.31.post_attention_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -107081,15 +71558,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="5060">
+				<port id="2" precision="FP32" names="3945">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7063" name="self.model.gpt_neox.layers.31.mlp.dense_h_to_4h.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="10240, 2560" offset="5193473410" size="52428800" />
+		<layer id="4651" name="self.model.gpt_neox.layers.31.mlp.dense_h_to_4h.weight" type="Const" version="opset1">
+			<data element_type="f16" shape="10240, 2560" offset="5188623672" size="52428800" />
 			<output>
 				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.31.mlp.dense_h_to_4h.weight">
 					<dim>10240</dim>
@@ -107097,7 +71574,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7064" name="self.model.gpt_neox.layers.31.mlp.dense_h_to_4h.weight" type="Convert" version="opset1">
+		<layer id="4652" name="__module.model.gpt_neox.layers.31.mlp.dense_h_to_4h/ov_ext::linear/ConvertLike" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -107115,7 +71592,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7065" name="__module.model.gpt_neox.layers.31.mlp.dense_h_to_4h/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="4653" name="__module.model.gpt_neox.layers.31.mlp.dense_h_to_4h/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -107136,37 +71613,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7066" name="Constant_325509_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 10240" offset="5245902210" size="20480" />
+		<layer id="4654" name="self.model.gpt_neox.layers.31.mlp.dense_h_to_4h.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="10240" offset="5241052472" size="20480" />
 			<output>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.31.mlp.dense_h_to_4h.bias">
 					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7067" name="Constant_325509" type="Convert" version="opset1">
+		<layer id="4655" name="__module.model.gpt_neox.layers.31.mlp.dense_h_to_4h/ov_ext::linear/ConvertLike_1" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>10240</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7068" name="__module.model.gpt_neox.layers.31.mlp.dense_h_to_4h/aten::linear/Add" type="Add" version="opset1">
+		<layer id="4656" name="__module.model.gpt_neox.layers.31.mlp.dense_h_to_4h/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -107175,20 +71646,18 @@
 					<dim>10240</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>10240</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="5065">
+				<port id="2" precision="FP32" names="3950">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7069" name="__module.model.gpt_neox.layers.31.mlp.act/aten::gelu/Gelu" type="Gelu" version="opset7">
+		<layer id="4657" name="__module.model.gpt_neox.layers.31.mlp.act/aten::gelu/Gelu" type="Gelu" version="opset7">
 			<data approximation_mode="ERF" />
 			<input>
 				<port id="0" precision="FP32">
@@ -107198,15 +71667,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="5066">
+				<port id="1" precision="FP32" names="3951">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7070" name="self.model.gpt_neox.layers.31.mlp.dense_4h_to_h.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="2560, 10240" offset="5245922690" size="52428800" />
+		<layer id="4658" name="self.model.gpt_neox.layers.31.mlp.dense_4h_to_h.weight" type="Const" version="opset1">
+			<data element_type="f16" shape="2560, 10240" offset="5241072952" size="52428800" />
 			<output>
 				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.31.mlp.dense_4h_to_h.weight">
 					<dim>2560</dim>
@@ -107214,7 +71683,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7071" name="self.model.gpt_neox.layers.31.mlp.dense_4h_to_h.weight" type="Convert" version="opset1">
+		<layer id="4659" name="__module.model.gpt_neox.layers.31.mlp.dense_4h_to_h/ov_ext::linear/ConvertLike" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -107232,7 +71701,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7072" name="__module.model.gpt_neox.layers.31.mlp.dense_4h_to_h/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="4660" name="__module.model.gpt_neox.layers.31.mlp.dense_4h_to_h/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -107253,37 +71722,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7073" name="Constant_325510_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 2560" offset="5298351490" size="5120" />
+		<layer id="4661" name="self.model.gpt_neox.layers.31.mlp.dense_4h_to_h.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="2560" offset="5293501752" size="5120" />
 			<output>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.31.mlp.dense_4h_to_h.bias">
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7074" name="Constant_325510" type="Convert" version="opset1">
+		<layer id="4662" name="__module.model.gpt_neox.layers.31.mlp.dense_4h_to_h/ov_ext::linear/ConvertLike_1" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>2560</dim>
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 			</input>
 			<output>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>2560</dim>
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 			</output>
 		</layer>
-		<layer id="7075" name="__module.model.gpt_neox.layers.31.mlp.dense_4h_to_h/aten::linear/Add" type="Add" version="opset1">
+		<layer id="4663" name="__module.model.gpt_neox.layers.31.mlp.dense_4h_to_h/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -107292,20 +71755,18 @@
 					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>2560</dim>
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="5069,input">
+				<port id="2" precision="FP32" names="3954,input">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
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 			</output>
 		</layer>
-		<layer id="7076" name="__module.model.gpt_neox.layers.31/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="4664" name="__module.model.gpt_neox.layers.31/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -107320,14 +71781,14 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="5071,5073">
+				<port id="2" precision="FP32" names="3956,3958">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
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 			</output>
 		</layer>
-		<layer id="7077" name="__module.model.gpt_neox.final_layer_norm/aten::layer_norm/Constant" type="Const" version="opset1">
+		<layer id="4665" name="__module.model.gpt_neox.final_layer_norm/aten::layer_norm/Multiply" type="Const" version="opset1">
 			<data element_type="i32" shape="1" offset="258211870" size="4" />
 			<output>
 				<port id="0" precision="I32">
@@ -107335,7 +71796,7 @@
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 			</output>
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-		<layer id="7078" name="__module.model.gpt_neox.final_layer_norm/aten::layer_norm/MVN" type="MVN" version="opset6">
+		<layer id="4666" name="__module.model.gpt_neox.final_layer_norm/aten::layer_norm/MVN" type="MVN" version="opset6">
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@@ -107355,8 +71816,8 @@
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+		<layer id="4667" name="Constant_37159_compressed" type="Const" version="opset1">
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@@ -107365,7 +71826,7 @@
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-		<layer id="7080" name="Constant_325511" type="Convert" version="opset1">
+		<layer id="4668" name="Constant_37159" type="Convert" version="opset1">
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@@ -107385,7 +71846,7 @@
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-		<layer id="7081" name="__module.model.gpt_neox.final_layer_norm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
+		<layer id="4669" name="__module.model.gpt_neox.final_layer_norm/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
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@@ -107407,8 +71868,8 @@
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-		<layer id="7082" name="Constant_325512_compressed" type="Const" version="opset1">
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+		<layer id="4670" name="Constant_37160_compressed" type="Const" version="opset1">
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@@ -107417,7 +71878,7 @@
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 		</layer>
-		<layer id="7083" name="Constant_325512" type="Convert" version="opset1">
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@@ -107437,7 +71898,7 @@
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-		<layer id="7084" name="__module.model.gpt_neox.final_layer_norm/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="4672" name="__module.model.gpt_neox.final_layer_norm/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
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@@ -107452,15 +71913,15 @@
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 			<output>
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 					<dim>2560</dim>
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-		<layer id="7085" name="self.model.embed_out.weight_compressed" type="Const" version="opset1">
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+		<layer id="4673" name="self.model.embed_out.weight" type="Const" version="opset1">
+			<data element_type="f16" shape="50432, 2560" offset="5293517112" size="258211840" />
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 				<port id="0" precision="FP16" names="self.model.embed_out.weight">
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@@ -107468,7 +71929,7 @@
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 			</output>
 		</layer>
-		<layer id="7086" name="self.model.embed_out.weight" type="Convert" version="opset1">
+		<layer id="4674" name="__module.model.embed_out/ov_ext::linear/ConvertLike" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
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@@ -107486,7 +71947,7 @@
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 		</layer>
-		<layer id="7087" name="__module.model.embed_out/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="4675" name="__module.model.embed_out/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
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@@ -107507,7 +71968,7 @@
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-		<layer id="6959" name="Assign_417283" type="Assign" version="opset6">
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 			<data variable_id="past_key_values.0.keypresent.0.key" />
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@@ -107526,7 +71987,7 @@
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-		<layer id="6958" name="Assign_417285" type="Assign" version="opset6">
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 			<data variable_id="past_key_values.0.valuepresent.0.value" />
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@@ -107545,7 +72006,7 @@
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-		<layer id="6957" name="Assign_417287" type="Assign" version="opset6">
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 			<data variable_id="past_key_values.1.keypresent.1.key" />
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@@ -107564,7 +72025,7 @@
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 			<data variable_id="past_key_values.1.valuepresent.1.value" />
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@@ -107583,7 +72044,7 @@
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-		<layer id="6955" name="Assign_417291" type="Assign" version="opset6">
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 			<data variable_id="past_key_values.10.keypresent.10.key" />
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@@ -107602,7 +72063,7 @@
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 			<data variable_id="past_key_values.10.valuepresent.10.value" />
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@@ -107621,7 +72082,7 @@
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-		<layer id="6953" name="Assign_417295" type="Assign" version="opset6">
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 			<data variable_id="past_key_values.11.keypresent.11.key" />
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@@ -107640,7 +72101,7 @@
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 			<data variable_id="past_key_values.11.valuepresent.11.value" />
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@@ -107659,7 +72120,7 @@
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-		<layer id="6951" name="Assign_417299" type="Assign" version="opset6">
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 			<data variable_id="past_key_values.12.keypresent.12.key" />
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@@ -107678,7 +72139,7 @@
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 			<data variable_id="past_key_values.12.valuepresent.12.value" />
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@@ -107697,7 +72158,7 @@
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 			<data variable_id="past_key_values.13.keypresent.13.key" />
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@@ -107716,7 +72177,7 @@
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 			<data variable_id="past_key_values.13.valuepresent.13.value" />
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@@ -107735,7 +72196,7 @@
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 			<data variable_id="past_key_values.14.keypresent.14.key" />
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@@ -107754,7 +72215,7 @@
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 			<data variable_id="past_key_values.14.valuepresent.14.value" />
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@@ -107773,7 +72234,7 @@
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-		<layer id="6945" name="Assign_417311" type="Assign" version="opset6">
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 			<data variable_id="past_key_values.15.keypresent.15.key" />
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@@ -107792,7 +72253,7 @@
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-		<layer id="6944" name="Assign_417313" type="Assign" version="opset6">
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 			<data variable_id="past_key_values.15.valuepresent.15.value" />
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@@ -107811,7 +72272,7 @@
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-		<layer id="6943" name="Assign_417315" type="Assign" version="opset6">
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 			<data variable_id="past_key_values.16.keypresent.16.key" />
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@@ -107830,7 +72291,7 @@
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 			<data variable_id="past_key_values.16.valuepresent.16.value" />
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@@ -107849,7 +72310,7 @@
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-		<layer id="6941" name="Assign_417319" type="Assign" version="opset6">
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 			<data variable_id="past_key_values.17.keypresent.17.key" />
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@@ -107868,7 +72329,7 @@
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 			<data variable_id="past_key_values.17.valuepresent.17.value" />
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@@ -107887,7 +72348,7 @@
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 			<data variable_id="past_key_values.18.keypresent.18.key" />
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@@ -107906,7 +72367,7 @@
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-		<layer id="6938" name="Assign_417325" type="Assign" version="opset6">
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 			<data variable_id="past_key_values.18.valuepresent.18.value" />
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@@ -107925,7 +72386,7 @@
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 			<data variable_id="past_key_values.19.keypresent.19.key" />
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@@ -107944,7 +72405,7 @@
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 			<data variable_id="past_key_values.19.valuepresent.19.value" />
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@@ -107963,7 +72424,7 @@
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-		<layer id="6935" name="Assign_417331" type="Assign" version="opset6">
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 			<data variable_id="past_key_values.2.keypresent.2.key" />
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@@ -107982,7 +72443,7 @@
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 			<data variable_id="past_key_values.2.valuepresent.2.value" />
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@@ -108001,7 +72462,7 @@
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 			<data variable_id="past_key_values.20.keypresent.20.key" />
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@@ -108020,7 +72481,7 @@
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-		<layer id="6932" name="Assign_417337" type="Assign" version="opset6">
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 			<data variable_id="past_key_values.20.valuepresent.20.value" />
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@@ -108039,7 +72500,7 @@
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 			<data variable_id="past_key_values.21.keypresent.21.key" />
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@@ -108058,7 +72519,7 @@
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-		<layer id="6930" name="Assign_417341" type="Assign" version="opset6">
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 			<data variable_id="past_key_values.21.valuepresent.21.value" />
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@@ -108077,7 +72538,7 @@
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 			<data variable_id="past_key_values.22.keypresent.22.key" />
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@@ -108096,7 +72557,7 @@
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 			<data variable_id="past_key_values.22.valuepresent.22.value" />
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@@ -108115,7 +72576,7 @@
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 			<data variable_id="past_key_values.23.keypresent.23.key" />
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@@ -108134,7 +72595,7 @@
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 			<data variable_id="past_key_values.23.valuepresent.23.value" />
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@@ -108153,7 +72614,7 @@
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 			<data variable_id="past_key_values.24.keypresent.24.key" />
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@@ -108172,7 +72633,7 @@
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 			<data variable_id="past_key_values.24.valuepresent.24.value" />
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@@ -108191,7 +72652,7 @@
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 			<data variable_id="past_key_values.25.keypresent.25.key" />
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@@ -108210,7 +72671,7 @@
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 			<data variable_id="past_key_values.25.valuepresent.25.value" />
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@@ -108229,7 +72690,7 @@
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 			<data variable_id="past_key_values.26.keypresent.26.key" />
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@@ -108248,7 +72709,7 @@
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 			<data variable_id="past_key_values.26.valuepresent.26.value" />
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@@ -108267,7 +72728,7 @@
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 			<data variable_id="past_key_values.27.keypresent.27.key" />
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@@ -108286,7 +72747,7 @@
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@@ -108305,7 +72766,7 @@
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