openvino-ci
commited on
Commit
•
7d006b3
1
Parent(s):
2db541a
Upload folder using huggingface_hub
Browse files- config.json +1 -1
- openvino_detokenizer.bin +3 -0
- openvino_detokenizer.xml +97 -0
- openvino_model.xml +4 -4
- openvino_tokenizer.bin +3 -0
- openvino_tokenizer.xml +231 -0
config.json
CHANGED
@@ -1,5 +1,5 @@
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{
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-
"_name_or_path": "
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"architectures": [
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"LlamaForCausalLM"
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],
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{
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+
"_name_or_path": "OpenVINO/open_llama_7b_v2-int8-ov",
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"architectures": [
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"LlamaForCausalLM"
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],
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openvino_detokenizer.bin
ADDED
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:9200b58939b5f15eda267b46cd367416c6ffec891653b50930b2cb0944c0f112
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+
size 511574
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openvino_detokenizer.xml
ADDED
@@ -0,0 +1,97 @@
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<?xml version="1.0"?>
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<net name="detokenizer" version="11">
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<layers>
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<layer id="0" name="Parameter_175799" type="Parameter" version="opset1">
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<data shape="?,?" element_type="i64" />
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<output>
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<port id="0" precision="I64" names="Parameter_175799">
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<dim>-1</dim>
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<dim>-1</dim>
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</port>
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</output>
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</layer>
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<layer id="1" name="Constant_175779" type="Const" version="opset1">
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<data element_type="u8" shape="511574" offset="0" size="511574" />
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<output>
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<port id="0" precision="U8">
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<dim>511574</dim>
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</port>
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</output>
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</layer>
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<layer id="2" name="Convert_175809" type="Convert" version="opset1">
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<data destination_type="i32" />
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<input>
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<port id="0" precision="I64">
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<dim>-1</dim>
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<dim>-1</dim>
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</port>
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</input>
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<output>
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<port id="1" precision="I32">
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<dim>-1</dim>
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<dim>-1</dim>
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</port>
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</output>
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</layer>
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<layer id="3" name="SentencepieceDetokenizer_175800" type="SentencepieceDetokenizer" version="extension">
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<input>
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<port id="0" precision="U8">
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<dim>511574</dim>
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</port>
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<port id="1" precision="I32">
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<dim>-1</dim>
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<dim>-1</dim>
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</port>
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</input>
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<output>
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<port id="2" precision="I32">
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<dim>-1</dim>
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</port>
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<port id="3" precision="I32">
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<dim>-1</dim>
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</port>
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<port id="4" precision="U8">
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<dim>-1</dim>
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</port>
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</output>
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</layer>
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<layer id="4" name="StringTensorPack_175801" type="StringTensorPack" version="extension">
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<data mode="begins_ends" />
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<input>
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<port id="0" precision="I32">
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<dim>-1</dim>
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</port>
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<port id="1" precision="I32">
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<dim>-1</dim>
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</port>
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<port id="2" precision="U8">
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<dim>-1</dim>
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</port>
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</input>
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<output>
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<port id="3" precision="STRING" names="string_output">
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<dim>-1</dim>
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</port>
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</output>
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</layer>
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<layer id="5" name="Result_175802" type="Result" version="opset1">
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<input>
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<port id="0" precision="STRING">
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<dim>-1</dim>
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</port>
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</input>
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</layer>
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</layers>
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<edges>
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<edge from-layer="0" from-port="0" to-layer="2" to-port="0" />
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<edge from-layer="1" from-port="0" to-layer="3" to-port="0" />
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<edge from-layer="2" from-port="1" to-layer="3" to-port="1" />
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<edge from-layer="3" from-port="2" to-layer="4" to-port="0" />
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<edge from-layer="3" from-port="3" to-layer="4" to-port="1" />
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<edge from-layer="3" from-port="4" to-layer="4" to-port="2" />
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<edge from-layer="4" from-port="3" to-layer="5" to-port="0" />
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</edges>
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<rt_info>
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<eos_token_id value="2" />
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</rt_info>
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</net>
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openvino_model.xml
CHANGED
@@ -108600,10 +108600,10 @@
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</weight_compression>
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</nncf>
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<optimum>
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-
<nncf_version value="2.12.0.dev0+
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-
<optimum_intel_version value="1.
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-
<optimum_version value="1.
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<pytorch_version value="2.3.
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<transformers_version value="4.41.2" />
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</optimum>
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</rt_info>
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</weight_compression>
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</nncf>
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<optimum>
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<nncf_version value="2.12.0.dev0+d033c6a8" />
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<optimum_intel_version value="1.19.0.dev0+480eea1" />
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<optimum_version value="1.21.2" />
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<pytorch_version value="2.3.1+cpu" />
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<transformers_version value="4.41.2" />
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</optimum>
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</rt_info>
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openvino_tokenizer.bin
ADDED
@@ -0,0 +1,3 @@
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+
version https://git-lfs.github.com/spec/v1
|
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+
oid sha256:b7b77cf2b305f5fcd17706d2242cec5e69576e6888853fee55fef0c734926605
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+
size 511582
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openvino_tokenizer.xml
ADDED
@@ -0,0 +1,231 @@
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<?xml version="1.0"?>
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<net name="tokenizer" version="11">
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<layers>
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<layer id="0" name="string_input" type="Parameter" version="opset1">
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<data shape="?" element_type="string" />
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<output>
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+
<port id="0" precision="STRING" names="string_input">
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<dim>-1</dim>
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</port>
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</output>
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</layer>
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<layer id="1" name="Constant_175785" type="Const" version="opset1">
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<data element_type="i32" shape="" offset="0" size="4" />
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<output>
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<port id="0" precision="I32" />
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</output>
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</layer>
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<layer id="2" name="Constant_175778" type="Const" version="opset1">
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<data element_type="u8" shape="511574" offset="4" size="511574" />
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<output>
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+
<port id="0" precision="U8">
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<dim>511574</dim>
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</port>
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</output>
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</layer>
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<layer id="3" name="SentencepieceTokenizer_175781" type="SentencepieceTokenizer" version="extension">
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<data nbest_size="0" alpha="0" add_bos="true" add_eos="false" reverse="false" />
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<input>
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<port id="0" precision="U8">
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<dim>511574</dim>
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</port>
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<port id="1" precision="STRING">
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<dim>-1</dim>
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</port>
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</input>
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<output>
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<port id="2" precision="I64">
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<dim>-1</dim>
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<dim>2</dim>
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</port>
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+
<port id="3" precision="I32">
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<dim>-1</dim>
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</port>
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<port id="4" precision="I64">
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<dim>2</dim>
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</port>
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</output>
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</layer>
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<layer id="4" name="Broadcast_175786" type="Broadcast" version="opset3">
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<data mode="numpy" />
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<input>
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+
<port id="0" precision="I32" />
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<port id="1" precision="I64">
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<dim>2</dim>
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</port>
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</input>
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<output>
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<port id="2" precision="I32">
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+
<dim>-1</dim>
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<dim>-1</dim>
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</port>
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</output>
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</layer>
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+
<layer id="5" name="Constant_175787" type="Const" version="opset1">
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+
<data element_type="i32" shape="" offset="511578" size="4" />
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<output>
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<port id="0" precision="I32" />
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</output>
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</layer>
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+
<layer id="6" name="ShapeOf_175788" type="ShapeOf" version="opset3">
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<data output_type="i64" />
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<input>
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<port id="0" precision="I32">
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<dim>-1</dim>
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</port>
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</input>
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<output>
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<port id="1" precision="I64">
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<dim>1</dim>
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</port>
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</output>
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</layer>
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<layer id="7" name="Broadcast_175789" type="Broadcast" version="opset3">
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<data mode="numpy" />
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<input>
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+
<port id="0" precision="I32" />
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<port id="1" precision="I64">
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<dim>1</dim>
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</port>
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</input>
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<output>
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<port id="2" precision="I32">
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<dim>-1</dim>
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</port>
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</output>
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</layer>
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<layer id="8" name="ScatterNDUpdate_175793" type="ScatterNDUpdate" version="opset4">
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<input>
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<port id="0" precision="I32">
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<dim>-1</dim>
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<dim>-1</dim>
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</port>
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<port id="1" precision="I64">
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<dim>-1</dim>
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<dim>2</dim>
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</port>
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<port id="2" precision="I32">
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<dim>-1</dim>
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</port>
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</input>
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<output>
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<port id="3" precision="I32">
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<dim>-1</dim>
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<dim>-1</dim>
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</port>
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</output>
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</layer>
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<layer id="9" name="ScatterNDUpdate_175793" type="Convert" version="opset1">
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<data destination_type="i64" />
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+
<input>
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+
<port id="0" precision="I32">
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+
<dim>-1</dim>
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<dim>-1</dim>
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</port>
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</input>
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<output>
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+
<port id="1" precision="I64" names="attention_mask">
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<dim>-1</dim>
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<dim>-1</dim>
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</port>
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</output>
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</layer>
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+
<layer id="11" name="Constant_175782" type="Const" version="opset1">
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<data element_type="i32" shape="" offset="0" size="4" />
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<output>
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<port id="0" precision="I32" />
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</output>
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</layer>
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<layer id="12" name="Broadcast_175783" type="Broadcast" version="opset3">
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<data mode="numpy" />
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<input>
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+
<port id="0" precision="I32" />
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+
<port id="1" precision="I64">
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<dim>2</dim>
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</port>
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</input>
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<output>
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<port id="2" precision="I32">
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<dim>-1</dim>
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150 |
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