qwen2p5 / openvino_detokenizer.xml

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	<?xml version="1.0"?>
	<net name="detokenizer" version="11">
	<layers>
	<layer id="0" name="Parameter_91167" type="Parameter" version="opset1">
	<data shape="?,?" element_type="i64" />
	<output>
	<port id="0" precision="I64" names="Parameter_91167">
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	<input>
	<port id="0" precision="I64">
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	<port id="1" precision="I32">
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	</layer>
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	<output>
	<port id="0" precision="I32">
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	<layer id="3" name="Constant_91171" type="Const" version="opset1">
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	<output>
	<port id="0" precision="I32">
	<dim>151665</dim>
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	<layer id="4" name="Constant_91173" type="Const" version="opset1">
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	<output>
	<port id="0" precision="U8">
	<dim>976263</dim>
	</port>
	</output>
	</layer>
	<layer id="5" name="Slice_91178" type="Const" version="opset1">
	<data element_type="i32" shape="14" offset="2189583" size="56" />
	<output>
	<port id="0" precision="I32">
	<dim>14</dim>
	</port>
	</output>
	</layer>
	<layer id="6" name="VocabDecoder_91180" type="VocabDecoder" version="extension">
	<data skip_tokens="" />
	<input>
	<port id="0" precision="I32">
	<dim>-1</dim>
	<dim>-1</dim>
	</port>
	<port id="1" precision="I32">
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	<port id="2" precision="I32">
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	</port>
	<port id="3" precision="U8">
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	</port>
	<port id="4" precision="I32">
	<dim>14</dim>
	</port>
	</input>
	<output>
	<port id="5" precision="I32">
	<dim>-1</dim>
	</port>
	<port id="6" precision="I32">
	<dim>-1</dim>
	</port>
	<port id="7" precision="I32">
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	<port id="8" precision="I32">
	<dim>-1</dim>
	</port>
	<port id="9" precision="U8">
	<dim>-1</dim>
	</port>
	</output>
	</layer>
	<layer id="7" name="FuzeRagged_91181" type="FuzeRagged" version="extension">
	<input>
	<port id="0" precision="I32">
	<dim>-1</dim>
	</port>
	<port id="1" precision="I32">
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	<port id="2" precision="I32">
	<dim>-1</dim>
	</port>
	<port id="3" precision="I32">
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	</port>
	</input>
	<output>
	<port id="4" precision="I32">
	<dim>-1</dim>
	</port>
	<port id="5" precision="I32">
	<dim>-1</dim>
	</port>
	</output>
	</layer>
	<layer id="8" name="UTF8Validate_91182" type="UTF8Validate" version="extension">
	<data replace_mode="true" />
	<input>
	<port id="0" precision="I32">
	<dim>-1</dim>
	</port>
	<port id="1" precision="I32">
	<dim>-1</dim>
	</port>
	<port id="2" precision="U8">
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	</port>
	</input>
	<output>
	<port id="3" precision="I32">
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	<port id="4" precision="I32">
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	</port>
	<port id="5" precision="U8">
	<dim>-1</dim>
	</port>
	</output>
	</layer>
	<layer id="9" name="StringTensorPack_91183" type="StringTensorPack" version="opset15">
	<input>
	<port id="0" precision="I32">
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	<port id="1" precision="I32">
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	<port id="2" precision="U8">
	<dim>-1</dim>
	</port>
	</input>
	<output>
	<port id="3" precision="STRING" names="Result_91184,string_output">
	<dim>-1</dim>
	</port>
	</output>
	</layer>
	<layer id="10" name="Result_91184" type="Result" version="opset1" output_names="Result_91184,string_output">
	<input>
	<port id="0" precision="STRING">
	<dim>-1</dim>
	</port>
	</input>
	</layer>
	</layers>
	<edges>
	<edge from-layer="0" from-port="0" to-layer="1" to-port="0" />
	<edge from-layer="1" from-port="1" to-layer="6" to-port="0" />
	<edge from-layer="2" from-port="0" to-layer="6" to-port="1" />
	<edge from-layer="3" from-port="0" to-layer="6" to-port="2" />
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	<edge from-layer="8" from-port="5" to-layer="9" to-port="2" />
	<edge from-layer="9" from-port="3" to-layer="10" to-port="0" />
	</edges>
	<rt_info>
	<add_attention_mask value="True" />
	<add_prefix_space />
	<add_special_tokens value="True" />
	<chat_template value="{%- if tools %} {{- '<\|im_start\|>system\n' }} {%- if messages[0]['role'] == 'system' %} {{- messages[0]['content'] }} {%- else %} {{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }} {%- endif %} {{- "\n\n# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }} {%- for tool in tools %} {{- "\n" }} {{- tool \| tojson }} {%- endfor %} {{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><\|im_end\|>\n" }} {%- else %} {%- if messages[0]['role'] == 'system' %} {{- '<\|im_start\|>system\n' + messages[0]['content'] + '<\|im_end\|>\n' }} {%- else %} {{- '<\|im_start\|>system\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<\|im_end\|>\n' }} {%- endif %} {%- endif %} {%- for message in messages %} {%- if (message.role == "user") or (message.role == "system" and not loop.first) or (message.role == "assistant" and not message.tool_calls) %} {{- '<\|im_start\|>' + message.role + '\n' + message.content + '<\|im_end\|>' + '\n' }} {%- elif message.role == "assistant" %} {{- '<\|im_start\|>' + message.role }} {%- if message.content %} {{- '\n' + message.content }} {%- endif %} {%- for tool_call in message.tool_calls %} {%- if tool_call.function is defined %} {%- set tool_call = tool_call.function %} {%- endif %} {{- '\n<tool_call>\n{"name": "' }} {{- tool_call.name }} {{- '", "arguments": ' }} {{- tool_call.arguments \| tojson }} {{- '}\n</tool_call>' }} {%- endfor %} {{- '<\|im_end\|>\n' }} {%- elif message.role == "tool" %} {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %} {{- '<\|im_start\|>user' }} {%- endif %} {{- '\n<tool_response>\n' }} {{- message.content }} {{- '\n</tool_response>' }} {%- if loop.last or (messages[loop.index0 + 1].role != "tool") %} {{- '<\|im_end\|>\n' }} {%- endif %} {%- endif %} {%- endfor %} {%- if add_generation_prompt %} {{- '<\|im_start\|>assistant\n' }} {%- endif %} " />
	<clean_up_tokenization_spaces />
	<detokenizer_input_type value="i64" />
	<eos_token_id value="151645" />
	<handle_special_tokens_with_re />
	<max_length />
	<number_of_inputs value="1" />
	<openvino_tokenizers_version value="2025.4.1.0-627-e79796a77f3" />
	<openvino_version value="2025.4.1-20426-82bbf0292c5-releases/2025/4" />
	<original_post_processor_template value="{"type": "ByteLevel", "add_prefix_space": false, "trim_offsets": false, "use_regex": false}" />
	<original_tokenizer_class value="<class 'transformers.models.qwen2.tokenization_qwen2_fast.Qwen2TokenizerFast'>" />
	<pad_token_id value="151643" />
	<processed_post_processor_template value="{"single": {"ids": [-1], "type_ids": [0]}, "pair": {"ids": [-1, -2], "type_ids": [0, 0]}}" />
	<sentencepiece_version value="0.2.1" />
	<skip_special_tokens value="True" />
	<streaming_detokenizer value="False" />
	<tokenizer_output_type value="i64" />
	<tokenizers_version value="0.22.2" />
	<transformers_version value="4.57.6" />
	<use_max_padding value="False" />
	<use_sentencepiece_backend value="False" />
	<utf8_replace_mode value="replace" />
	<with_detokenizer value="True" />
	</rt_info>
	</net>