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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_24" 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_24">
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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="Constant_2" type="Const" version="opset1">
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<data element_type="u8" shape="499991" offset="0" size="499991" />
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<output>
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<port id="0" precision="U8">
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<dim>499991</dim>
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</port>
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</output>
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</layer>
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<layer id="2" name="Convert_34" 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="3" name="SentencepieceDetokenizer_25" type="SentencepieceDetokenizer" version="extension">
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<input>
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<port id="0" precision="U8">
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<dim>499991</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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<dim>-1</dim>
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</port>
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</input>
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<output>
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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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</output>
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</layer>
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<layer id="4" name="StringTensorPack_26" 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="5" name="Result_27" 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="2" to-port="0" />
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<edge from-layer="1" from-port="0" to-layer="3" to-port="0" />
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<edge from-layer="2" from-port="1" to-layer="3" to-port="1" />
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<edge from-layer="3" from-port="2" to-layer="4" to-port="0" />
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<edge from-layer="3" from-port="3" to-layer="4" to-port="1" />
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<edge from-layer="3" from-port="4" to-layer="4" to-port="2" />
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<edge from-layer="4" from-port="3" to-layer="5" to-port="0" />
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</edges>
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<rt_info>
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<add_attention_mask value="True" />
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<add_prefix_space value="True" />
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<add_special_tokens value="True" />
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<bos_token_id value="1" />
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<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 %}" />
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<clean_up_tokenization_spaces value="False" />
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<detokenizer_input_type value="i64" />
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<eos_token_id value="32000" />
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<handle_special_tokens_with_re value="False" />
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<number_of_inputs value="1" />
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<openvino_tokenizers_version value="2024.5.0.0" />
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<openvino_version value="2024.5.0" />
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<original_tokenizer_class value="<class 'transformers.models.llama.tokenization_llama_fast.LlamaTokenizerFast'>" />
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<pad_token_id value="32000" />
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<sentencepiece_version value="0.2.0" />
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<skip_special_tokens value="True" />
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<streaming_detokenizer value="False" />
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<tiktoken_version value="0.8.0" />
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<tokenizer_output_type value="i64" />
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<tokenizers_version value="0.19.1" />
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<transformers_version value="4.40.2" />
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<use_max_padding value="False" />
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<use_sentencepiece_backend value="True" />
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<utf8_replace_mode />
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<with_detokenizer value="True" />
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</rt_info>
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</net>
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