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</layer> |
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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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</input> |
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<output> |
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<port id="1" precision="I64" names="attention_mask"> |
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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="44" name="RaggedToDense_632126.0" type="Convert" version="opset1"> |
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<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="input_ids"> |
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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="45" name="Result_632130" type="Result" version="opset1"> |
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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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</layer> |
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<layer id="43" name="Result_632132" type="Result" version="opset1"> |
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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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</edges> |
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<rt_info> |
|
<bos_token_id value="1" /> |
|
<chat_template value="{{bos_token}}{% for message in messages %}{{'<|im_start|>' + message['role'] + ' ' + message['content'] + '<|im_end|>' + ' '}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant ' }}{% endif %}" /> |
|
<eos_token_id value="32001" /> |
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<original_tokenizer_class value="<class 'transformers.models.llama.tokenization_llama_fast.LlamaTokenizerFast'>" /> |
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<pad_token_id value="2" /> |
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</rt_info> |
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</net> |
|
|
