<?xml version="1.0"?>
<net name="detokenizer" version="11">
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		<layer id="0" name="Parameter_293091" type="Parameter" version="opset1">
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				<port id="0" precision="I64" names="Parameter_293091">
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		<layer id="1" name="Convert_293102" type="Convert" version="opset1">
			<data destination_type="i32" />
			<input>
				<port id="0" precision="I64">
					<dim>-1</dim>
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				<port id="1" precision="I32">
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					<dim>-1</dim>
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		</layer>
		<layer id="2" name="Constant_292994" type="Const" version="opset1">
			<data element_type="u8" shape="1976110" offset="0" size="1976110" />
			<output>
				<port id="0" precision="U8">
					<dim>1976110</dim>
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		<layer id="3" name="StringTensorUnpack_292995" type="StringTensorUnpack" version="extension">
			<data mode="begins_ends" />
			<input>
				<port id="0" precision="U8">
					<dim>1976110</dim>
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					<dim>-1</dim>
				</port>
				<port id="3" precision="U8">
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="4" name="VocabDecoder_293092" type="VocabDecoder" version="extension">
			<data skip_tokens="151643, 151644, 151645" />
			<input>
				<port id="0" precision="I32">
					<dim>-1</dim>
					<dim>-1</dim>
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				<port id="1" precision="I32">
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				<port id="2" precision="I32">
					<dim>-1</dim>
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				<port id="3" precision="U8">
					<dim>-1</dim>
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			<output>
				<port id="4" precision="I32">
					<dim>-1</dim>
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				<port id="5" precision="I32">
					<dim>-1</dim>
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				<port id="6" precision="I32">
					<dim>-1</dim>
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				<port id="7" precision="I32">
					<dim>-1</dim>
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				<port id="8" precision="U8">
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="5" name="CharsToBytes_293093" type="CharsToBytes" version="extension">
			<input>
				<port id="0" precision="I32">
					<dim>-1</dim>
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				<port id="1" precision="I32">
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				<port id="3" precision="I32">
					<dim>-1</dim>
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				<port id="4" precision="U8">
					<dim>-1</dim>
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			<output>
				<port id="5" precision="I32">
					<dim>-1</dim>
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				<port id="6" precision="I32">
					<dim>-1</dim>
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				<port id="7" precision="U8">
					<dim>-1</dim>
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			</output>
		</layer>
		<layer id="6" name="StringTensorPack_293094" type="StringTensorPack" version="extension">
			<data mode="begins_ends" />
			<input>
				<port id="0" precision="I32">
					<dim>-1</dim>
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				<port id="2" precision="U8">
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="3" precision="STRING" names="string_output">
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="7" name="Result_293095" type="Result" version="opset1">
			<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="4" to-port="0" />
		<edge from-layer="2" from-port="0" to-layer="3" to-port="0" />
		<edge from-layer="3" from-port="1" to-layer="4" to-port="1" />
		<edge from-layer="3" from-port="2" to-layer="4" to-port="2" />
		<edge from-layer="3" from-port="3" to-layer="4" to-port="3" />
		<edge from-layer="4" from-port="4" to-layer="5" to-port="0" />
		<edge from-layer="4" from-port="5" to-layer="5" to-port="1" />
		<edge from-layer="4" from-port="6" to-layer="5" to-port="2" />
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		<edge from-layer="6" from-port="3" to-layer="7" to-port="0" />
	</edges>
	<rt_info>
		<chat_template value="{% for message in messages %}{% if loop.first and messages[0]['role'] != 'system' %}{{ '&lt;|im_start|>system&#10;You are a helpful assistant.&lt;|im_end|>&#10;' }}{% endif %}{{'&lt;|im_start|>' + message['role'] + '&#10;' + message['content'] + '&lt;|im_end|>' + '&#10;'}}{% endfor %}{% if add_generation_prompt %}{{ '&lt;|im_start|>assistant&#10;' }}{% endif %}" />
		<eos_token_id value="151645" />
		<original_tokenizer_class value="&lt;class 'transformers.models.qwen2.tokenization_qwen2_fast.Qwen2TokenizerFast'>" />
		<pad_token_id value="151643" />
	</rt_info>
</net>