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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_152704" 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_152704"> |
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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="Convert_152716" 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="2" name="Constant_152679" type="Const" version="opset1"> |
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<data element_type="u8" shape="1582798" offset="0" size="1582798" /> |
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<output> |
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<port id="0" precision="U8"> |
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<dim>1582798</dim> |
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</port> |
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</output> |
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</layer> |
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<layer id="3" name="StringTensorUnpack_152680" type="StringTensorUnpack" version="extension"> |
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<data mode="begins_ends" /> |
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<input> |
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<port id="0" precision="U8"> |
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<dim>1582798</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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</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="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="VocabDecoder_152705" type="VocabDecoder" version="extension"> |
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<data skip_tokens="151643, 151644, 151645, 151646, 151647, 151648, 151649, 151650, 151651, 151652, 151653, 151654, 151655, 151656" /> |
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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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<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="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="4" precision="I32"> |
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<dim>-1</dim> |
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</port> |
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<port id="5" precision="I32"> |
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<dim>-1</dim> |
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</port> |
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<port id="6" precision="I32"> |
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<dim>-1</dim> |
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</port> |
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<port id="7" precision="I32"> |
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<dim>-1</dim> |
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</port> |
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<port id="8" 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="5" name="FuzeRagged_152706" type="FuzeRagged" version="extension"> |
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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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<dim>-1</dim> |
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</port> |
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</input> |
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<output> |
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<port id="4" precision="I32"> |
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<dim>-1</dim> |
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</port> |
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<port id="5" precision="I32"> |
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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="6" name="UTF8Validate_152707" type="UTF8Validate" version="extension"> |
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<data replace_mode="true" /> |
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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="I32"> |
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<dim>-1</dim> |
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</port> |
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<port id="4" precision="I32"> |
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<dim>-1</dim> |
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</port> |
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<port id="5" 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="7" name="StringTensorPack_152708" 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="8" name="Result_152709" 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="1" to-port="0" /> |
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<edge from-layer="1" from-port="1" to-layer="4" to-port="0" /> |
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<edge from-layer="2" from-port="0" to-layer="3" to-port="0" /> |
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<edge from-layer="3" from-port="1" to-layer="4" to-port="1" /> |
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<edge from-layer="3" from-port="2" to-layer="4" to-port="2" /> |
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<edge from-layer="3" from-port="3" to-layer="4" to-port="3" /> |
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<edge from-layer="4" from-port="6" to-layer="5" to-port="2" /> |
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<edge from-layer="4" from-port="8" to-layer="6" to-port="2" /> |
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<edge from-layer="4" from-port="7" to-layer="5" to-port="3" /> |
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<edge from-layer="4" from-port="5" to-layer="5" to-port="1" /> |
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<edge from-layer="4" from-port="4" to-layer="5" to-port="0" /> |
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<edge from-layer="5" from-port="4" to-layer="6" to-port="0" /> |
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<edge from-layer="5" from-port="5" to-layer="6" to-port="1" /> |
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<edge from-layer="6" from-port="3" to-layer="7" to-port="0" /> |
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<edge from-layer="6" from-port="4" to-layer="7" to-port="1" /> |
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<edge from-layer="6" from-port="5" to-layer="7" to-port="2" /> |
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<edge from-layer="7" from-port="3" to-layer="8" 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 /> |
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<add_special_tokens value="True" /> |
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<chat_template value="{% set image_count = namespace(value=0) %}{% set video_count = namespace(value=0) %}{% for message in messages %}{% if loop.first and message['role'] != 'system' %}<|im_start|>system You are a helpful assistant.<|im_end|> {% endif %}<|im_start|>{{ message['role'] }} {% if message['content'] is string %}{{ message['content'] }}<|im_end|> {% else %}{% for content in message['content'] %}{% if content['type'] == 'image' or 'image' in content or 'image_url' in content %}{% set image_count.value = image_count.value + 1 %}{% if add_vision_id %}Picture {{ image_count.value }}: {% endif %}<|vision_start|><|image_pad|><|vision_end|>{% elif content['type'] == 'video' or 'video' in content %}{% set video_count.value = video_count.value + 1 %}{% if add_vision_id %}Video {{ video_count.value }}: {% endif %}<|vision_start|><|video_pad|><|vision_end|>{% elif 'text' in content %}{{ content['text'] }}{% endif %}{% endfor %}<|im_end|> {% endif %}{% endfor %}{% if add_generation_prompt %}<|im_start|>assistant {% endif %}" /> |
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<clean_up_tokenization_spaces /> |
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<detokenizer_input_type value="i64" /> |
|
<eos_token_id value="151645" /> |
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<handle_special_tokens_with_re /> |
|
<number_of_inputs value="1" /> |
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<openvino_tokenizers_version value="2024.6.0.0" /> |
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<openvino_version value="2024.6.0" /> |
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<original_tokenizer_class value="<class 'transformers.models.qwen2.tokenization_qwen2_fast.Qwen2TokenizerFast'>" /> |
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<pad_token_id value="151643" /> |
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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="0.20.1" /> |
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<transformers_version value="4.45.0" /> |
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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" /> |
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</rt_info> |
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</net> |
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