mistral-7b-instruct-v0.2-ov / openvino_detokenizer.xml
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<?xml version="1.0"?>
<net name="detokenizer" version="11">
<layers>
<layer id="0" name="Parameter_259198" type="Parameter" version="opset1">
<data shape="?,?" element_type="i64" />
<output>
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<dim>-1</dim>
</port>
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<port id="0" precision="I64">
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<output>
<port id="1" precision="I32">
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<output>
<port id="0" precision="U8">
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<layer id="3" name="StringTensorUnpack_259169" type="StringTensorUnpack" version="extension">
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</output>
</layer>
<layer id="4" name="VocabDecoder_259199" type="VocabDecoder" version="extension">
<data skip_tokens="0, 1, 2" />
<input>
<port id="0" precision="I32">
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</output>
</layer>
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<output>
<port id="0" precision="U8">
<dim>3</dim>
</port>
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</layer>
<layer id="6" name="Constant_259203" type="Const" version="opset1">
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<output>
<port id="0" precision="U8">
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</layer>
<layer id="7" name="RegexNormalization_259204" type="RegexNormalization" version="extension">
<data global_replace="true" />
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<port id="0" precision="I32">
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</layer>
<layer id="8" name="ByteFallback_259205" type="ByteFallback" version="extension">
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<output>
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</layer>
<layer id="9" name="FuzeRagged_259206" type="FuzeRagged" version="extension">
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<port id="5" precision="I32">
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</layer>
<layer id="10" name="Constant_259208" type="Const" version="opset1">
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<output>
<port id="0" precision="U8">
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</port>
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</layer>
<layer id="11" name="Constant_259210" type="Const" version="opset1">
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<output>
<port id="0" precision="U8">
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</layer>
<layer id="12" name="RegexNormalization_259211" type="RegexNormalization" version="extension">
<data global_replace="true" />
<input>
<port id="0" precision="I32">
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<port id="1" precision="I32">
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<port id="2" precision="U8">
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<output>
<port id="5" precision="I32">
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</layer>
<layer id="13" name="StringTensorPack_259212" type="StringTensorPack" version="extension">
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<port id="0" precision="I32">
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<port id="2" precision="U8">
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</input>
<output>
<port id="3" precision="STRING" names="string_output">
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</port>
</output>
</layer>
<layer id="14" name="Result_259213" type="Result" version="opset1">
<input>
<port id="0" precision="STRING">
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</layer>
</layers>
<edges>
<edge from-layer="0" from-port="0" to-layer="1" to-port="0" />
<edge from-layer="1" from-port="1" to-layer="4" to-port="0" />
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</edges>
<rt_info>
<bos_token_id value="1" />
<chat_template value="{%- if messages[0]['role'] == 'system' %}&#10; {%- set system_message = messages[0]['content'] %}&#10; {%- set loop_messages = messages[1:] %}&#10;{%- else %}&#10; {%- set loop_messages = messages %}&#10;{%- endif %}&#10;&#10;{{- bos_token }}&#10;{%- for message in loop_messages %}&#10; {%- if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}&#10; {{- raise_exception('After the optional system message, conversation roles must alternate user/assistant/user/assistant/...') }}&#10; {%- endif %}&#10; {%- if message['role'] == 'user' %}&#10; {%- if loop.first and system_message is defined %}&#10; {{- ' [INST] ' + system_message + '\n\n' + message['content'] + ' [/INST]' }}&#10; {%- else %}&#10; {{- ' [INST] ' + message['content'] + ' [/INST]' }}&#10; {%- endif %}&#10; {%- elif message['role'] == 'assistant' %}&#10; {{- ' ' + message['content'] + eos_token}}&#10; {%- else %}&#10; {{- raise_exception('Only user and assistant roles are supported, with the exception of an initial optional system message!') }}&#10; {%- endif %}&#10;{%- endfor %}&#10;" />
<eos_token_id value="2" />
<original_tokenizer_class value="&lt;class 'transformers.models.llama.tokenization_llama_fast.LlamaTokenizerFast'>" />
</rt_info>
</net>