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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_312413" 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_312413"> |
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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_312389" type="Const" version="opset1"> |
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<data element_type="u8" shape="4241003" offset="0" size="4241003" /> |
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<output> |
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<port id="0" precision="U8"> |
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<dim>4241003</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_312423" 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_312414" type="SentencepieceDetokenizer" version="extension"> |
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<input> |
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<port id="0" precision="U8"> |
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<dim>4241003</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_312415" 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_312416" 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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<bos_token_id value="2" /> |
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<chat_template value="{{ bos_token }}{% if messages[0]['role'] == 'system' %}{% set system_message = messages[0]['content'] | trim + ' ' %}{% set messages = messages[1:] %}{% else %}{% set system_message = '' %}{% endif %}{% for message in messages %}{% if loop.index0 == 0 %}{% set content = system_message + message['content'] %}{% else %}{% set content = message['content'] %}{% endif %}{% if (message['role'] == 'assistant') %}{% set role = 'model' %}{% else %}{% set role = message['role'] %}{% endif %}{{ '<start_of_turn>' + role + ' ' + content | trim + '<end_of_turn> ' }}{% endfor %}{% if add_generation_prompt %}{{'<start_of_turn>model '}}{% endif %}" /> |
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<eos_token_id value="1" /> |
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<original_tokenizer_class value="<class 'transformers.models.gemma.tokenization_gemma_fast.GemmaTokenizerFast'>" /> |
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<pad_token_id value="0" /> |
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</rt_info> |
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</net> |
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