Phi-3-mini-128k-instruct-int8-ov / openvino_tokenizer.xml
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<?xml version="1.0"?>
<net name="tokenizer" version="11">
<layers>
<layer id="0" name="string_input" type="Parameter" version="opset1">
<data shape="?" element_type="string" />
<output>
<port id="0" precision="STRING" names="string_input">
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</port>
</output>
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<output>
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<port id="0" precision="STRING">
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<output>
<port id="0" precision="U8">
<dim>3</dim>
</port>
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</layer>
<layer id="6" name="RegexNormalization_9" type="RegexNormalization" version="extension">
<data global_replace="true" />
<input>
<port id="0" precision="I32">
<dim>-1</dim>
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<layer id="7" name="StringTensorPack_10" type="StringTensorPack" version="extension">
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<output>
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<layer id="8" name="Constant_12" type="Const" version="opset1">
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<output>
<port id="0" precision="U8">
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<layer id="9" name="StringTensorUnpack_13" type="StringTensorUnpack" version="extension">
<data mode="begins_ends" />
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<port id="0" precision="I32">
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<layer id="11" name="SentencepieceTokenizer_15" type="SentencepieceTokenizer" version="extension">
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<data mode="numpy" />
<input>
<port id="0" precision="I32" />
<port id="1" precision="I64">
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<layer id="13" name="Constant_18" type="Const" version="opset1">
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<layer id="14" name="ShapeOf_19" type="ShapeOf" version="opset3">
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<layer id="19" name="Reverse_29" type="Convert" version="opset1">
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<output>
<port id="1" precision="I64" names="attention_mask">
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</port>
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<layer id="21" name="Constant_25" type="Const" version="opset1">
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<port id="0" precision="I32" />
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<layer id="22" name="Broadcast_26" type="Broadcast" version="opset3">
<data mode="bidirectional" />
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<layer id="26" name="Reverse_31" type="Convert" version="opset1">
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<output>
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<layer id="20" name="Result_33" type="Result" version="opset1">
<input>
<port id="0" precision="I64">
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<rt_info>
<bos_token_id value="1" />
<chat_template value="{% for message in messages %}{% if message['role'] == 'system' %}{{'&lt;|system|>&#10;' + message['content'] + '&lt;|end|>&#10;'}}{% elif message['role'] == 'user' %}{{'&lt;|user|>&#10;' + message['content'] + '&lt;|end|>&#10;'}}{% elif message['role'] == 'assistant' %}{{'&lt;|assistant|>&#10;' + message['content'] + '&lt;|end|>&#10;'}}{% endif %}{% endfor %}{% if add_generation_prompt %}{{ '&lt;|assistant|>&#10;' }}{% else %}{{ eos_token }}{% endif %}" />
<eos_token_id value="32000" />
<original_tokenizer_class value="&lt;class 'transformers.models.llama.tokenization_llama_fast.LlamaTokenizerFast'>" />
<pad_token_id value="32000" />
</rt_info>
</net>