diff --git "a/openvino_vision_embeddings_model.xml" "b/openvino_vision_embeddings_model.xml"
new file mode 100644--- /dev/null
+++ "b/openvino_vision_embeddings_model.xml"
@@ -0,0 +1,29979 @@
+<?xml version="1.0"?>
+<net name="Model3" version="11">
+	<layers>
+		<layer id="0" name="pixel_values" type="Parameter" version="opset1">
+			<data shape="?,3,?,?" element_type="f32" />
+			<output>
+				<port id="0" precision="FP32" names="pixel_values">
+					<dim>-1</dim>
+					<dim>3</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1" name="self.vision_tower.vision_model.embeddings.patch_embedding.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="1152, 3, 14, 14" offset="0" size="2709504" />
+			<output>
+				<port id="0" precision="FP32" names="self.vision_tower.vision_model.embeddings.patch_embedding.weight">
+					<dim>1152</dim>
+					<dim>3</dim>
+					<dim>14</dim>
+					<dim>14</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2" name="__module.vision_tower.vision_model.embeddings.patch_embedding/aten::_convolution_mode/Convolution" type="Convolution" version="opset1">
+			<data strides="14, 14" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="valid" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>3</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>3</dim>
+					<dim>14</dim>
+					<dim>14</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>1152</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3" name="__module.vision_tower.vision_model.embeddings.patch_embedding/aten::_convolution_mode/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1152, 1, 1" offset="2709504" size="4608" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1152</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4" name="__module.vision_tower.vision_model.embeddings.patch_embedding/aten::_convolution_mode/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>1152</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1152</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="49,patch_embeds">
+					<dim>-1</dim>
+					<dim>1152</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5" name="Constant_89715" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="2714112" size="24" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="6" name="__module.vision_tower.vision_model.embeddings/aten::flatten/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>1152</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="50">
+					<dim>-1</dim>
+					<dim>1152</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="7" name="__module.vision_tower.vision_model.embeddings/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="3" offset="2714136" size="12" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="8" name="__module.vision_tower.vision_model.embeddings/aten::transpose/Transpose" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>1152</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="51,embeddings.1">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="9" name="self.vision_tower.vision_model.embeddings.position_embedding.weight" type="Const" version="opset1">
+			<data element_type="bf16" shape="729, 1152" offset="2714148" size="1679616" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.embeddings.position_embedding.weight">
+					<dim>729</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="10" name="__module.vision_tower.vision_model.embeddings.position_embedding/ov_ext::embedding/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>729</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>729</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="11" name="__module.vision_tower.vision_model.embeddings.position_embedding/ov_ext::embedding/Convert_1" type="Const" version="opset1">
+			<data element_type="i32" shape="1, 729" offset="4393764" size="2916" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+					<dim>729</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="12" name="__module.vision_tower.vision_model.embeddings.position_embedding/ov_ext::embedding/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="4396680" size="4" />
+			<output>
+				<port id="0" precision="I32" />
+			</output>
+		</layer>
+		<layer id="13" name="__module.vision_tower.vision_model.embeddings.position_embedding/ov_ext::embedding/Gather" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>729</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+					<dim>729</dim>
+				</port>
+				<port id="2" precision="I32" />
+			</input>
+			<output>
+				<port id="3" precision="FP32" names="53">
+					<dim>1</dim>
+					<dim>729</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="14" name="__module.vision_tower.vision_model.embeddings/aten::add/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>729</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="54,residual.1">
+					<dim>-1</dim>
+					<dim>729</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="15" name="__module.vision_tower.vision_model.encoder.layers.0.layer_norm1/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="4396684" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="16" name="__module.vision_tower.vision_model.encoder.layers.0.layer_norm1/aten::layer_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>729</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>729</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="17" name="Constant_89280" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1152" offset="4396688" size="4608" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="18" name="__module.vision_tower.vision_model.encoder.layers.0.layer_norm1/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>729</dim>
+					<dim>1152</dim>
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+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>729</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="19" name="Constant_89281" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1152" offset="4401296" size="4608" />
+			<output>
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+					<dim>1</dim>
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+				</port>
+			</output>
+		</layer>
+		<layer id="20" name="__module.vision_tower.vision_model.encoder.layers.0.layer_norm1/aten::layer_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>729</dim>
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+				</port>
+				<port id="1" precision="FP32">
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+					<dim>1</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="116,hidden_states.1">
+					<dim>-1</dim>
+					<dim>729</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="21" name="self.vision_tower.vision_model.encoder.layers.0.self_attn.q_proj.weight" type="Const" version="opset1">
+			<data element_type="bf16" shape="1152, 1152" offset="4405904" size="2654208" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.0.self_attn.q_proj.weight">
+					<dim>1152</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="22" name="__module.vision_tower.vision_model.encoder.layers.0.self_attn.q_proj/ov_ext::linear/ConvertLike" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
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+				<port id="1" precision="FP32">
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+					<dim>1152</dim>
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+			</output>
+		</layer>
+		<layer id="23" name="__module.vision_tower.vision_model.encoder.layers.0.self_attn.q_proj/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>729</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP32">
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+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>729</dim>
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+				</port>
+			</output>
+		</layer>
+		<layer id="24" name="self.vision_tower.vision_model.encoder.layers.0.self_attn.q_proj.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="1152" offset="7060112" size="2304" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.0.self_attn.q_proj.bias">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="25" name="__module.vision_tower.vision_model.encoder.layers.0.self_attn.q_proj/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="BF16">
+					<dim>1152</dim>
+				</port>
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+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="26" name="__module.vision_tower.vision_model.encoder.layers.0.self_attn.q_proj/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>729</dim>
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+				<port id="1" precision="FP32">
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+			<output>
+				<port id="2" precision="FP32" names="125,query_states.1">
+					<dim>-1</dim>
+					<dim>729</dim>
+					<dim>1152</dim>
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+			</output>
+		</layer>
+		<layer id="27" name="Constant_89716" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="7062416" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
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+			</output>
+		</layer>
+		<layer id="28" name="__module.vision_tower.vision_model.encoder.layers.0.self_attn/aten::view/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>729</dim>
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+				<port id="1" precision="I64">
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+					<dim>-1</dim>
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+					<dim>16</dim>
+					<dim>72</dim>
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+		<layer id="29" name="__module.vision_tower.vision_model.encoder.layers.0.self_attn/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="7062448" size="16" />
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+		</layer>
+		<layer id="30" name="__module.vision_tower.vision_model.encoder.layers.0.self_attn/aten::transpose/Transpose" type="Transpose" version="opset1">
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+					<dim>72</dim>
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+		</layer>
+		<layer id="31" name="self.vision_tower.vision_model.encoder.layers.0.self_attn.k_proj.weight" type="Const" version="opset1">
+			<data element_type="bf16" shape="1152, 1152" offset="7062464" size="2654208" />
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+			</output>
+		</layer>
+		<layer id="32" name="__module.vision_tower.vision_model.encoder.layers.0.self_attn.k_proj/ov_ext::linear/ConvertLike" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
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+			<data transpose_a="false" transpose_b="true" />
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+		<layer id="34" name="self.vision_tower.vision_model.encoder.layers.0.self_attn.k_proj.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="1152" offset="9716672" size="2304" />
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+		<layer id="35" name="__module.vision_tower.vision_model.encoder.layers.0.self_attn.k_proj/ov_ext::linear/ConvertLike_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
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