llama-3.2-1b-instruct-ov / openvino_detokenizer.xml

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	<?xml version="1.0"?>
	<net name="detokenizer" version="11">
	<layers>
	<layer id="0" name="Parameter_193" type="Parameter" version="opset1">
	<data shape="?,?" element_type="i64" />
	<output>
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	</layer>
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	<input>
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	<output>
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	</port>
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	</layer>
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	<output>
	<port id="0" precision="U8">
	<dim>1586436</dim>
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	</layer>
	<layer id="3" name="StringTensorUnpack_89" type="StringTensorUnpack" version="extension">
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	</output>
	</layer>
	<layer id="4" name="VocabDecoder_194" type="VocabDecoder" version="extension">
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	<input>
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	<port id="2" precision="I32">
	<dim>-1</dim>
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	<port id="3" precision="U8">
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	<output>
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	<dim>-1</dim>
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	<port id="8" precision="U8">
	<dim>-1</dim>
	</port>
	</output>
	</layer>
	<layer id="5" name="CharsToBytes_195" type="CharsToBytes" 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">
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	<port id="3" precision="I32">
	<dim>-1</dim>
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	<port id="4" precision="U8">
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	</input>
	<output>
	<port id="5" precision="I32">
	<dim>-1</dim>
	</port>
	<port id="6" precision="I32">
	<dim>-1</dim>
	</port>
	<port id="7" precision="U8">
	<dim>-1</dim>
	</port>
	</output>
	</layer>
	<layer id="6" name="Constant_197" type="Const" version="opset1">
	<data element_type="u8" shape="47" offset="1586436" size="47" />
	<output>
	<port id="0" precision="U8">
	<dim>47</dim>
	</port>
	</output>
	</layer>
	<layer id="7" name="Constant_199" type="Const" version="opset1">
	<data element_type="u8" shape="2" offset="1586483" size="2" />
	<output>
	<port id="0" precision="U8">
	<dim>2</dim>
	</port>
	</output>
	</layer>
	<layer id="8" name="RegexNormalization_200" type="RegexNormalization" version="extension">
	<data global_replace="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>
	<port id="3" precision="U8">
	<dim>47</dim>
	</port>
	<port id="4" precision="U8">
	<dim>2</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="U8">
	<dim>-1</dim>
	</port>
	</output>
	</layer>
	<layer id="9" name="StringTensorPack_201" type="StringTensorPack" version="extension">
	<data mode="begins_ends" />
	<input>
	<port id="0" precision="I32">
	<dim>-1</dim>
	</port>
	<port id="1" precision="I32">
	<dim>-1</dim>
	</port>
	<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="10" name="Result_202" 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="8" from-port="7" to-layer="9" to-port="2" />
	<edge from-layer="9" from-port="3" to-layer="10" to-port="0" />
	</edges>
	<rt_info>
	<bos_token_id value="128000" />
	<chat_template value="{{- bos_token }} {%- if custom_tools is defined %} {%- set tools = custom_tools %} {%- endif %} {%- if not tools_in_user_message is defined %} {%- set tools_in_user_message = true %} {%- endif %} {%- if not date_string is defined %} {%- if strftime_now is defined %} {%- set date_string = strftime_now("%d %b %Y") %} {%- else %} {%- set date_string = "26 Jul 2024" %} {%- endif %} {%- endif %} {%- if not tools is defined %} {%- set tools = none %} {%- endif %} {#- This block extracts the system message, so we can slot it into the right place. #} {%- if messages[0]['role'] == 'system' %} {%- set system_message = messages[0]['content']\|trim %} {%- set messages = messages[1:] %} {%- else %} {%- set system_message = "" %} {%- endif %} {#- System message #} {{- "<\|start_header_id\|>system<\|end_header_id\|>\n\n" }} {%- if tools is not none %} {{- "Environment: ipython\n" }} {%- endif %} {{- "Cutting Knowledge Date: December 2023\n" }} {{- "Today Date: " + date_string + "\n\n" }} {%- if tools is not none and not tools_in_user_message %} {{- "You have access to the following functions. To call a function, please respond with JSON for a function call." }} {{- 'Respond in the format {"name": function name, "parameters": dictionary of argument name and its value}.' }} {{- "Do not use variables.\n\n" }} {%- for t in tools %} {{- t \| tojson(indent=4) }} {{- "\n\n" }} {%- endfor %} {%- endif %} {{- system_message }} {{- "<\|eot_id\|>" }} {#- Custom tools are passed in a user message with some extra guidance #} {%- if tools_in_user_message and not tools is none %} {#- Extract the first user message so we can plug it in here #} {%- if messages \| length != 0 %} {%- set first_user_message = messages[0]['content']\|trim %} {%- set messages = messages[1:] %} {%- else %} {{- raise_exception("Cannot put tools in the first user message when there's no first user message!") }} {%- endif %} {{- '<\|start_header_id\|>user<\|end_header_id\|>\n\n' -}} {{- "Given the following functions, please respond with a JSON for a function call " }} {{- "with its proper arguments that best answers the given prompt.\n\n" }} {{- 'Respond in the format {"name": function name, "parameters": dictionary of argument name and its value}.' }} {{- "Do not use variables.\n\n" }} {%- for t in tools %} {{- t \| tojson(indent=4) }} {{- "\n\n" }} {%- endfor %} {{- first_user_message + "<\|eot_id\|>"}} {%- endif %} {%- for message in messages %} {%- if not (message.role == 'ipython' or message.role == 'tool' or 'tool_calls' in message) %} {{- '<\|start_header_id\|>' + message['role'] + '<\|end_header_id\|>\n\n'+ message['content'] \| trim + '<\|eot_id\|>' }} {%- elif 'tool_calls' in message %} {%- if not message.tool_calls\|length == 1 %} {{- raise_exception("This model only supports single tool-calls at once!") }} {%- endif %} {%- set tool_call = message.tool_calls[0].function %} {{- '<\|start_header_id\|>assistant<\|end_header_id\|>\n\n' -}} {{- '{"name": "' + tool_call.name + '", ' }} {{- '"parameters": ' }} {{- tool_call.arguments \| tojson }} {{- "}" }} {{- "<\|eot_id\|>" }} {%- elif message.role == "tool" or message.role == "ipython" %} {{- "<\|start_header_id\|>ipython<\|end_header_id\|>\n\n" }} {%- if message.content is mapping or message.content is iterable %} {{- message.content \| tojson }} {%- else %} {{- message.content }} {%- endif %} {{- "<\|eot_id\|>" }} {%- endif %} {%- endfor %} {%- if add_generation_prompt %} {{- '<\|start_header_id\|>assistant<\|end_header_id\|>\n\n' }} {%- endif %} " />
	<eos_token_id value="128009" />
	<original_tokenizer_class value="<class 'transformers.tokenization_utils_fast.PreTrainedTokenizerFast'>" />
	</rt_info>
	</net>