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</output> |
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</layer> |
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<layer id="39" name="Constant_138327" type="Const" version="opset1"> |
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<output> |
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<port id="0" precision="I32" /> |
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</output> |
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</layer> |
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<layer id="40" name="ReduceMax_138328" type="ReduceMax" version="opset1"> |
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<data keep_dims="false" /> |
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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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</input> |
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<output> |
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</output> |
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</layer> |
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<layer id="41" name="Constant_138329" type="Const" version="opset1"> |
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<data element_type="i32" shape="" offset="1262039" size="4" /> |
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<output> |
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<port id="0" precision="I32" /> |
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</output> |
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</layer> |
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<layer id="42" name="RaggedToDense_138330" type="RaggedToDense" version="extension"> |
|
<data pad_right="false" /> |
|
<input> |
|
<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="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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<port id="4" precision="I32" /> |
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</input> |
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<output> |
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<port id="5" 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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<port id="6" precision="BOOL"> |
|
<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="43" name="Convert_138331" 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="BOOL"> |
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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> |
|
</port> |
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</output> |
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</layer> |
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<layer id="44" name="Convert_138331" type="Convert" version="opset1"> |
|
<data destination_type="i64" /> |
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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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<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="I64" names="attention_mask"> |
|
<dim>-1</dim> |
|
<dim>-1</dim> |
|
</port> |
|
</output> |
|
</layer> |
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<layer id="46" name="RaggedToDense_138330.0" type="Convert" version="opset1"> |
|
<data destination_type="i64" /> |
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<input> |
|
<port id="0" precision="I32"> |
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<dim>-1</dim> |
|
<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="I64" names="input_ids"> |
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<dim>-1</dim> |
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<dim>-1</dim> |
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</port> |
|
</output> |
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</layer> |
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<layer id="47" name="Result_138334" type="Result" version="opset1"> |
|
<input> |
|
<port id="0" precision="I64"> |
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<dim>-1</dim> |
|
<dim>-1</dim> |
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</port> |
|
</input> |
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</layer> |
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<layer id="45" name="Result_138336" type="Result" version="opset1"> |
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<input> |
|
<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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</layer> |
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</layers> |
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<edge from-layer="1" from-port="0" to-layer="8" to-port="0" /> |
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<edge from-layer="10" from-port="0" to-layer="11" to-port="1" /> |
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<edge from-layer="11" from-port="2" to-layer="13" to-port="1" /> |
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<edge from-layer="15" from-port="9" to-layer="18" to-port="1" /> |
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</edges> |
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<rt_info> |
|
<bos_token_id value="1" /> |
|
<chat_template value="{% for message in messages %}{% if message['role'] == 'system' %}{{'<|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> |
|
|
