openvino-ci
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Parent(s):
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Upload folder using huggingface_hub
Browse files- README.md +6 -15
- config.json +1 -1
- openvino_detokenizer.bin +3 -0
- openvino_detokenizer.xml +219 -0
- openvino_model.xml +4 -4
- openvino_tokenizer.bin +3 -0
- openvino_tokenizer.xml +943 -0
README.md
CHANGED
@@ -3,21 +3,12 @@ license: apache-2.0
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license_link: https://choosealicense.com/licenses/apache-2.0/
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---
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# RedPajama-INCITE-Chat-3B-v1-int8-ov
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* Model creator: [
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* Original model: [RedPajama-INCITE-Chat-3B-v1](
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## Description
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This is [RedPajama-INCITE-Chat-3B-v1](https://huggingface.co/togethercomputer/RedPajama-INCITE-Chat-3B-v1) model converted to the [OpenVINO™ IR](https://docs.openvino.ai/2024/documentation/openvino-ir-format.html) (Intermediate Representation) format with weights compressed to INT8 by [NNCF](https://github.com/openvinotoolkit/nncf).
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## Quantization Parameters
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Weight compression was performed using `nncf.compress_weights` with the following parameters:
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* mode: **int8_asym**
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* ratio: **1**
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For more information on quantization, check the [OpenVINO model optimization guide](https://docs.openvino.ai/2024/openvino-workflow/model-optimization-guide/weight-compression.html).
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## Compatibility
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@@ -55,12 +46,12 @@ For more examples and possible optimizations, refer to the [OpenVINO Large Langu
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## Limitations
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Check the original model card for [limitations]().
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## Legal information
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The original model is distributed under [apache-2.0](https://choosealicense.com/licenses/apache-2.0/) license. More details can be found in [original model card](
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## Disclaimer
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Intel is committed to respecting human rights and avoiding causing or contributing to adverse impacts on human rights. See [Intel’s Global Human Rights Principles](https://www.intel.com/content/dam/www/central-libraries/us/en/documents/policy-human-rights.pdf). Intel’s products and software are intended only to be used in applications that do not cause or contribute to adverse impacts on human rights.
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license_link: https://choosealicense.com/licenses/apache-2.0/
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---
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# RedPajama-INCITE-Chat-3B-v1-int8-ov
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* Model creator: [Together](https://huggingface.co/togethercomputer)
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* Original model: [RedPajama-INCITE-Chat-3B-v1](togethercomputer/RedPajama-INCITE-Chat-3B-v1)
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## Description
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This is [RedPajama-INCITE-Chat-3B-v1](togethercomputer/RedPajama-INCITE-Chat-3B-v1) model converted to the [OpenVINO™ IR](https://docs.openvino.ai/2024/documentation/openvino-ir-format.html) (Intermediate Representation) format.
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## Compatibility
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## Limitations
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Check the original model card for [limitations](https://huggingface.co/togethercomputer/RedPajama-INCITE-Chat-3B-v1#limitations).
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## Legal information
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The original model is distributed under [apache-2.0](https://choosealicense.com/licenses/apache-2.0/) license. More details can be found in [original model card](togethercomputer/RedPajama-INCITE-Chat-3B-v1).
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## Disclaimer
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Intel is committed to respecting human rights and avoiding causing or contributing to adverse impacts on human rights. See [Intel’s Global Human Rights Principles](https://www.intel.com/content/dam/www/central-libraries/us/en/documents/policy-human-rights.pdf). Intel’s products and software are intended only to be used in applications that do not cause or contribute to adverse impacts on human rights.
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config.json
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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-Chat-3B-v1-int8-ov",
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"architectures": [
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"GPTNeoXForCausalLM"
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],
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openvino_detokenizer.bin
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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_458039" 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_458039">
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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_458055" 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_457937" 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_457938" 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_458040" 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_458041" 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_458043" 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_458045" 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_458046" 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_458047" 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_458048" 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
@@ -112999,10 +112999,10 @@
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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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113005 |
-
<pytorch_version value="2.3.
|
113006 |
<transformers_version value="4.41.2" />
|
113007 |
</optimum>
|
113008 |
</rt_info>
|
|
|
112999 |
</weight_compression>
|
113000 |
</nncf>
|
113001 |
<optimum>
|
113002 |
+
<nncf_version value="2.12.0.dev0+d033c6a8" />
|
113003 |
+
<optimum_intel_version value="1.19.0.dev0+480eea1" />
|
113004 |
+
<optimum_version value="1.21.2" />
|
113005 |
+
<pytorch_version value="2.3.1+cpu" />
|
113006 |
<transformers_version value="4.41.2" />
|
113007 |
</optimum>
|
113008 |
</rt_info>
|
openvino_tokenizer.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:c1c5d770015e1fce984bc6a141f757b4f614587eac66071423500855cce455c1
|
3 |
+
size 1166215
|
openvino_tokenizer.xml
ADDED
@@ -0,0 +1,943 @@
|
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|
|
|
|
1 |
+
<?xml version="1.0"?>
|
2 |
+
<net name="tokenizer" version="11">
|
3 |
+
<layers>
|
4 |
+
<layer id="0" name="Parameter_457849" type="Parameter" version="opset1">
|
5 |
+
<data shape="?" element_type="string" />
|
6 |
+
<output>
|
7 |
+
<port id="0" precision="STRING" names="Parameter_457849">
|
8 |
+
<dim>-1</dim>
|
9 |
+
</port>
|
10 |
+
</output>
|
11 |
+
</layer>
|
12 |
+
<layer id="1" name="Constant_457856" 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_457850" 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_457851" 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_457852" 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_457853" 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_457854" 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_457855" 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_457857" type="Const" version="opset1">
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