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<?xml version="1.0"?> |
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<net name="tokenizer" version="11"> |
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<output> |
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<output> |
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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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<layer id="16" name="Constant_210507" type="Const" version="opset1"> |
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<output> |
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</port> |
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</output> |
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</layer> |
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<layer id="17" name="RegexSplit_210508" type="RegexSplit" version="extension"> |
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<data behaviour="remove" invert="true" max_splits="-1" /> |
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<dim>-1</dim> |
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<output> |
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<output> |
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<layer id="22" name="Constant_210524" type="Const" version="opset1"> |
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<port id="0" precision="I32"> |
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<output> |
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<port id="0" precision="I32"> |
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<dim>100000</dim> |
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<layer id="31" name="BPETokenizer_210534" type="BPETokenizer" version="extension"> |
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<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="37" name="Constant_210540" type="Const" version="opset1"> |
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<output> |
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</output> |
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</layer> |
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<layer id="38" name="ReduceMax_210541" 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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<port id="2" precision="I32" /> |
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</output> |
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</layer> |
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<layer id="39" name="Constant_210542" type="Const" version="opset1"> |
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<data element_type="i32" shape="" offset="3801250" 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="40" name="RaggedToDense_210543" type="RaggedToDense" version="extension"> |
|
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<data pad_right="false" m_pad_max_length="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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<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"> |
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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="41" name="Convert_210544" 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> |
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</port> |
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</output> |
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</layer> |
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<layer id="42" name="Convert_210544.0" 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="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_210543.0" 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_210545" type="Result" version="opset1" output_names="input_ids"> |
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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_210546" type="Result" version="opset1" output_names="attention_mask"> |
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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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</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="8" to-port="0" /> |
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<edge from-layer="2" from-port="1" to-layer="3" to-port="0" /> |
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<edge from-layer="3" from-port="1" to-layer="6" to-port="0" /> |
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<edge from-layer="11" from-port="2" to-layer="13" to-port="1" /> |
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<edge from-layer="12" from-port="0" to-layer="13" to-port="2" /> |
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</edges> |
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<rt_info> |
|
|
<add_attention_mask value="True" /> |
|
|
<add_prefix_space /> |
|
|
<add_special_tokens value="True" /> |
|
|
<bos_token_id value="100257" /> |
|
|
<chat_template value="{% for message in messages %}{% if (message['role'] == 'system') %}{{'<|im_start|>system<|im_sep|>' + message['content'] + '<|im_end|>'}}{% elif (message['role'] == 'user') %}{{'<|im_start|>user<|im_sep|>' + message['content'] + '<|im_end|>'}}{% elif (message['role'] == 'assistant') %}{{'<|im_start|>assistant<|im_sep|>' + message['content'] + '<|im_end|>'}}{% endif %}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant<|im_sep|>' }}{% endif %}" /> |
|
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<clean_up_tokenization_spaces /> |
|
|
<detokenizer_input_type value="i64" /> |
|
|
<eos_token_id value="100265" /> |
|
|
<handle_special_tokens_with_re /> |
|
|
<max_length /> |
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|
<number_of_inputs value="1" /> |
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<openvino_tokenizers_version value="2025.1.0.0-523-710ddf14de8" /> |
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<openvino_version value="2025.1.0-18503-6fec06580ab-releases/2025/1" /> |
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<original_tokenizer_class value="<class 'transformers.models.gpt2.tokenization_gpt2_fast.GPT2TokenizerFast'>" /> |
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<pad_token_id value="100349" /> |
|
|
<sentencepiece_version value="0.2.0" /> |
|
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<skip_special_tokens value="True" /> |
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|
<streaming_detokenizer value="False" /> |
|
|
<tiktoken_version value="0.9.0" /> |
|
|
<tokenizer_output_type value="i64" /> |
|
|
<tokenizers_version value="0.21.1" /> |
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<transformers_version value="4.51.3" /> |
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<use_max_padding value="False" /> |
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<use_sentencepiece_backend value="False" /> |
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<utf8_replace_mode value="replace" /> |
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|
<with_detokenizer value="True" /> |
|
|
</rt_info> |
|
|
</net> |
|
|
|
