openvino-ci
commited on
Commit
•
74719c4
1
Parent(s):
44a4dbb
Upload folder using huggingface_hub
Browse files- config.json +1 -1
- openvino_detokenizer.bin +3 -0
- openvino_detokenizer.xml +219 -0
- openvino_model.xml +3 -3
- openvino_tokenizer.bin +3 -0
- openvino_tokenizer.xml +943 -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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"GPTNeoXForCausalLM"
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],
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{
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+
"_name_or_path": "OpenVINO/RedPajama-INCITE-7B-Instruct-fp16-ov",
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"architectures": [
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"GPTNeoXForCausalLM"
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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 sha256:07cc9ef2460d39577b5a80e2b379766a90187c17b436a2e530467180319bc312
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+
size 558446
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openvino_detokenizer.xml
ADDED
@@ -0,0 +1,219 @@
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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_487109" 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_487109">
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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="Convert_487125" 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="2" name="Constant_487007" type="Const" version="opset1">
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<data element_type="u8" shape="558397" offset="0" size="558397" />
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<output>
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<port id="0" precision="U8">
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<dim>558397</dim>
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</port>
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</output>
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</layer>
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+
<layer id="3" name="StringTensorUnpack_487008" type="StringTensorUnpack" version="extension">
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+
<data mode="begins_ends" />
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<input>
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<port id="0" precision="U8">
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<dim>558397</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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</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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<port id="3" 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="VocabDecoder_487110" type="VocabDecoder" version="extension">
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<data skip_tokens="0, 1" />
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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="I32">
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<dim>-1</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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<port id="3" 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="4" precision="I32">
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<dim>-1</dim>
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</port>
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<port id="5" precision="I32">
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<dim>-1</dim>
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</port>
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<port id="6" precision="I32">
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<dim>-1</dim>
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</port>
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<port id="7" precision="I32">
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<dim>-1</dim>
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</port>
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<port id="8" 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="5" name="CharsToBytes_487111" type="CharsToBytes" version="extension">
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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="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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</input>
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<output>
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<port id="5" precision="I32">
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<dim>-1</dim>
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</port>
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<port id="6" precision="I32">
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<dim>-1</dim>
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</port>
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<port id="7" 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="6" name="Constant_487113" type="Const" version="opset1">
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<data element_type="u8" shape="47" offset="558397" size="47" />
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<output>
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<port id="0" precision="U8">
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<dim>47</dim>
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</port>
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</output>
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</layer>
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<layer id="7" name="Constant_487115" type="Const" version="opset1">
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<data element_type="u8" shape="2" offset="558444" size="2" />
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<output>
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<port id="0" precision="U8">
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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="8" name="RegexNormalization_487116" type="RegexNormalization" version="extension">
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<data global_replace="true" />
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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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<port id="3" precision="U8">
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<dim>47</dim>
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</port>
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<port id="4" precision="U8">
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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="5" precision="I32">
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<dim>-1</dim>
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</port>
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<port id="6" precision="I32">
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<dim>-1</dim>
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</port>
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<port id="7" 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="9" name="StringTensorPack_487117" 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="10" name="Result_487118" 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="1" to-port="0" />
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<edge from-layer="1" from-port="1" to-layer="4" to-port="0" />
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<edge from-layer="2" from-port="0" to-layer="3" to-port="0" />
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<edge from-layer="3" from-port="1" to-layer="4" to-port="1" />
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<edge from-layer="3" from-port="2" to-layer="4" to-port="2" />
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<edge from-layer="3" from-port="3" to-layer="4" to-port="3" />
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<edge from-layer="4" from-port="8" to-layer="5" to-port="4" />
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<edge from-layer="4" from-port="7" to-layer="5" to-port="3" />
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<edge from-layer="4" from-port="6" to-layer="5" to-port="2" />
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<edge from-layer="4" from-port="5" to-layer="5" to-port="1" />
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<edge from-layer="4" from-port="4" to-layer="5" to-port="0" />
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<edge from-layer="5" from-port="5" to-layer="8" to-port="0" />
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<edge from-layer="5" from-port="6" to-layer="8" to-port="1" />
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<edge from-layer="5" from-port="7" to-layer="8" to-port="2" />
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<edge from-layer="6" from-port="0" to-layer="8" to-port="3" />
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<edge from-layer="7" from-port="0" to-layer="8" to-port="4" />
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<edge from-layer="8" from-port="5" to-layer="9" to-port="0" />
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<edge from-layer="8" from-port="6" to-layer="9" to-port="1" />
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<edge from-layer="8" from-port="7" to-layer="9" to-port="2" />
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<edge from-layer="9" from-port="3" to-layer="10" to-port="0" />
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</edges>
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<rt_info>
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<eos_token_id value="0" />
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</rt_info>
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</net>
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openvino_model.xml
CHANGED
@@ -117073,9 +117073,9 @@
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<is_python_object value="True" />
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</conversion_parameters>
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<optimum>
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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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<is_python_object value="True" />
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</conversion_parameters>
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<optimum>
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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:c1c5d770015e1fce984bc6a141f757b4f614587eac66071423500855cce455c1
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+
size 1166215
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openvino_tokenizer.xml
ADDED
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|
1 |
+
<?xml version="1.0"?>
|
2 |
+
<net name="tokenizer" version="11">
|
3 |
+
<layers>
|
4 |
+
<layer id="0" name="Parameter_486919" type="Parameter" version="opset1">
|
5 |
+
<data shape="?" element_type="string" />
|
6 |
+
<output>
|
7 |
+
<port id="0" precision="STRING" names="Parameter_486919">
|
8 |
+
<dim>-1</dim>
|
9 |
+
</port>
|
10 |
+
</output>
|
11 |
+
</layer>
|
12 |
+
<layer id="1" name="Constant_486926" type="Const" version="opset1">
|
13 |
+
<data element_type="i64" shape="" offset="0" size="8" />
|
14 |
+
<output>
|
15 |
+
<port id="0" precision="I64" />
|
16 |
+
</output>
|
17 |
+
</layer>
|
18 |
+
<layer id="2" name="StringTensorUnpack_486920" type="StringTensorUnpack" version="extension">
|
19 |
+
<data mode="begins_ends" />
|
20 |
+
<input>
|
21 |
+
<port id="0" precision="STRING">
|
22 |
+
<dim>-1</dim>
|
23 |
+
</port>
|
24 |
+
</input>
|
25 |
+
<output>
|
26 |
+
<port id="1" precision="I32">
|
27 |
+
<dim>-1</dim>
|
28 |
+
</port>
|
29 |
+
<port id="2" precision="I32">
|
30 |
+
<dim>-1</dim>
|
31 |
+
</port>
|
32 |
+
<port id="3" precision="U8">
|
33 |
+
<dim>-1</dim>
|
34 |
+
</port>
|
35 |
+
</output>
|
36 |
+
</layer>
|
37 |
+
<layer id="3" name="NormalizeUnicode_486921" type="NormalizeUnicode" version="extension">
|
38 |
+
<data normalization_form="NFC" />
|
39 |
+
<input>
|
40 |
+
<port id="0" precision="I32">
|
41 |
+
<dim>-1</dim>
|
42 |
+
</port>
|
43 |
+
<port id="1" precision="I32">
|
44 |
+
<dim>-1</dim>
|
45 |
+
</port>
|
46 |
+
<port id="2" precision="U8">
|
47 |
+
<dim>-1</dim>
|
48 |
+
</port>
|
49 |
+
</input>
|
50 |
+
<output>
|
51 |
+
<port id="3" precision="I32">
|
52 |
+
<dim>-1</dim>
|
53 |
+
</port>
|
54 |
+
<port id="4" precision="I32">
|
55 |
+
<dim>-1</dim>
|
56 |
+
</port>
|
57 |
+
<port id="5" precision="U8">
|
58 |
+
<dim>-1</dim>
|
59 |
+
</port>
|
60 |
+
</output>
|
61 |
+
</layer>
|
62 |
+
<layer id="4" name="ShapeOf_486922" type="ShapeOf" version="opset3">
|
63 |
+
<data output_type="i64" />
|
64 |
+
<input>
|
65 |
+
<port id="0" precision="I32">
|
66 |
+
<dim>-1</dim>
|
67 |
+
</port>
|
68 |
+
</input>
|
69 |
+
<output>
|
70 |
+
<port id="1" precision="I64">
|
71 |
+
<dim>1</dim>
|
72 |
+
</port>
|
73 |
+
</output>
|
74 |
+
</layer>
|
75 |
+
<layer id="5" name="Constant_486923" type="Const" version="opset1">
|
76 |
+
<data element_type="i64" shape="" offset="0" size="8" />
|
77 |
+
<output>
|
78 |
+
<port id="0" precision="I64" />
|
79 |
+
</output>
|
80 |
+
</layer>
|
81 |
+
<layer id="6" name="Constant_486924" type="Const" version="opset1">
|
82 |
+
<data element_type="i64" shape="" offset="0" size="8" />
|
83 |
+
<output>
|
84 |
+
<port id="0" precision="I64" />
|
85 |
+
</output>
|
86 |
+
</layer>
|
87 |
+
<layer id="7" name="Gather_486925" type="Gather" version="opset8">
|
88 |
+
<data batch_dims="0" />
|
89 |
+
<input>
|
90 |
+
<port id="0" precision="I64">
|
91 |
+
<dim>1</dim>
|
92 |
+
</port>
|
93 |
+
<port id="1" precision="I64" />
|
94 |
+
<port id="2" precision="I64" />
|
95 |
+
</input>
|
96 |
+
<output>
|
97 |
+
<port id="3" precision="I64" />
|
98 |
+
</output>
|
99 |
+
</layer>
|
100 |
+
<layer id="8" name="Constant_486927" type="Const" version="opset1">
|
101 |
+
<data element_type="i64" shape="" offset="8" size="8" />
|
102 |
+
<output>
|
103 |
+
<port id="0" precision="I64" />
|
104 |
+
</output>
|
105 |
+
</layer>
|
106 |
+
<layer id="9" name="Range_486928" type="Range" version="opset4">
|
107 |
+
<data output_type="i32" />
|
108 |
+
<input>
|
109 |
+
<port id="0" precision="I64" />
|
110 |
+
<port id="1" precision="I64" />
|
111 |
+
<port id="2" precision="I64" />
|
112 |
+
</input>
|
113 |
+
<output>
|
114 |
+
<port id="3" precision="I32">
|
115 |
+
<dim>-1</dim>
|
116 |
+
</port>
|
117 |
+
</output>
|
118 |
+
</layer>
|
119 |
+
<layer id="10" name="Constant_486930" type="Const" version="opset1">
|
120 |
+
<data element_type="i64" shape="" offset="8" size="8" />
|
121 |
+
<output>
|
122 |
+
<port id="0" precision="I64" />
|
123 |
+
</output>
|
124 |
+
</layer>
|
125 |
+
<layer id="11" name="Constant_486931" type="Const" version="opset1">
|
126 |
+
<data element_type="i64" shape="" offset="8" size="8" />
|
127 |
+
<output>
|
128 |
+
<port id="0" precision="I64" />
|
129 |
+
</output>
|
130 |
+
</layer>
|
131 |
+
<layer id="12" name="Add_486932" type="Add" version="opset1">
|
132 |
+
<data auto_broadcast="numpy" />
|
133 |
+
<input>
|
134 |
+
<port id="0" precision="I64" />
|
135 |
+
<port id="1" precision="I64" />
|
136 |
+
</input>
|
137 |
+
<output>
|
138 |
+
<port id="2" precision="I64" />
|
139 |
+
</output>
|
140 |
+
</layer>
|
141 |
+
<layer id="13" name="Constant_486933" type="Const" version="opset1">
|
142 |
+
<data element_type="i64" shape="" offset="8" size="8" />
|
143 |
+
<output>
|
144 |
+
<port id="0" precision="I64" />
|
145 |
+
</output>
|
146 |
+
</layer>
|
147 |
+
<layer id="14" name="Range_486934" type="Range" version="opset4">
|
148 |
+
<data output_type="i32" />
|
149 |
+
<input>
|
150 |
+
<port id="0" precision="I64" />
|
151 |
+
<port id="1" precision="I64" />
|
152 |
+
<port id="2" precision="I64" />
|
153 |
+
</input>
|
154 |
+
<output>
|
155 |
+
<port id="3" precision="I32">
|
156 |
+
<dim>-1</dim>
|
157 |
+
</port>
|
158 |
+
</output>
|
159 |
+
</layer>
|
160 |
+
<layer id="15" name="Constant_486997" type="Const" version="opset1">
|
161 |
+
<data element_type="u8" shape="620" offset="16" size="620" />
|
162 |
+
<output>
|
163 |
+
<port id="0" precision="U8">
|
164 |
+
<dim>620</dim>
|
165 |
+
</port>
|
166 |
+
</output>
|
167 |
+
</layer>
|
168 |
+
<layer id="16" name="RegexSplit_486998" type="RegexSplit" version="extension">
|
169 |
+
<data behaviour="isolate" invert="false" max_splits="-1" />
|
170 |
+
<input>
|
171 |
+
<port id="0" precision="I32">
|
172 |
+
<dim>-1</dim>
|
173 |
+
</port>
|
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924 |
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925 |
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927 |
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928 |
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930 |
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934 |
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939 |
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940 |
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941 |
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942 |
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943 |
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