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<?xml version="1.0"?>
<net name="detokenizer" version="11">
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<layer id="1" name="Constant_237562" type="Const" version="opset1">
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<output>
<port id="0" precision="U8">
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<layer id="2" name="Convert_237596" type="Convert" version="opset1">
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<dim>-1</dim>
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<layer id="3" name="SentencepieceDetokenizer_237587" type="SentencepieceDetokenizer" version="extension">
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<layer id="4" name="StringTensorPack_237588" type="StringTensorPack" version="extension">
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<output>
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<layer id="5" name="Result_237589" type="Result" version="opset1">
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<port id="0" precision="STRING">
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<edge from-layer="2" from-port="1" to-layer="3" to-port="1" />
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<edge from-layer="4" from-port="3" to-layer="5" to-port="0" />
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<rt_info>
<bos_token_id value="1" />
<chat_template value="{% for message in messages %}{% if message['role'] == 'system' and message['content'] %}{{'<|system|> ' + message['content'] + '<|end|> '}}{% elif message['role'] == 'user' %}{{'<|user|> ' + message['content'] + '<|end|> '}}{% elif message['role'] == 'assistant' %}{{'<|assistant|> ' + message['content'] + '<|end|> '}}{% endif %}{% endfor %}{% if add_generation_prompt %}{{ '<|assistant|> ' }}{% else %}{{ eos_token }}{% endif %}" />
<eos_token_id value="32000" />
<original_tokenizer_class value="<class 'transformers.models.llama.tokenization_llama_fast.LlamaTokenizerFast'>" />
<pad_token_id value="32000" />
</rt_info>
</net>
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