Phi-3-mini-128k-instruct-int4-sym-ov / openvino_tokenizer.xml
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<?xml version="1.0"?>
<net name="tokenizer" version="11">
<layers>
<layer id="0" name="string_input" type="Parameter" version="opset1">
<data shape="?" element_type="string" />
<output>
<port id="0" precision="STRING" names="string_input">
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="1" name="Constant_237277" type="Const" version="opset1">
<data element_type="i32" shape="" offset="0" size="4" />
<output>
<port id="0" precision="I32" />
</output>
</layer>
<layer id="2" name="Constant_237273" type="Const" version="opset1">
<data element_type="u8" shape="499969" offset="4" size="499969" />
<output>
<port id="0" precision="U8">
<dim>499969</dim>
</port>
</output>
</layer>
<layer id="3" name="SentencepieceTokenizer_237276" type="SentencepieceTokenizer" version="extension">
<data nbest_size="0" alpha="0" add_bos="false" add_eos="false" reverse="true" />
<input>
<port id="0" precision="U8">
<dim>499969</dim>
</port>
<port id="1" precision="STRING">
<dim>-1</dim>
</port>
</input>
<output>
<port id="2" precision="I64">
<dim>-1</dim>
<dim>2</dim>
</port>
<port id="3" precision="I32">
<dim>-1</dim>
</port>
<port id="4" precision="I64">
<dim>2</dim>
</port>
</output>
</layer>
<layer id="4" name="Broadcast_237278" type="Broadcast" version="opset3">
<data mode="numpy" />
<input>
<port id="0" precision="I32" />
<port id="1" precision="I64">
<dim>2</dim>
</port>
</input>
<output>
<port id="2" precision="I32">
<dim>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="5" name="Constant_237279" type="Const" version="opset1">
<data element_type="i32" shape="" offset="499973" size="4" />
<output>
<port id="0" precision="I32" />
</output>
</layer>
<layer id="6" name="ShapeOf_237280" type="ShapeOf" version="opset3">
<data output_type="i64" />
<input>
<port id="0" precision="I32">
<dim>-1</dim>
</port>
</input>
<output>
<port id="1" precision="I64">
<dim>1</dim>
</port>
</output>
</layer>
<layer id="7" name="Broadcast_237281" type="Broadcast" version="opset3">
<data mode="numpy" />
<input>
<port id="0" precision="I32" />
<port id="1" precision="I64">
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="I32">
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="8" name="ScatterNDUpdate_237285" type="ScatterNDUpdate" version="opset4">
<input>
<port id="0" precision="I32">
<dim>-1</dim>
<dim>-1</dim>
</port>
<port id="1" precision="I64">
<dim>-1</dim>
<dim>2</dim>
</port>
<port id="2" precision="I32">
<dim>-1</dim>
</port>
</input>
<output>
<port id="3" precision="I32">
<dim>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="9" name="Constant_237289" type="Const" version="opset1">
<data element_type="i32" shape="1" offset="499977" size="4" />
<output>
<port id="0" precision="I32">
<dim>1</dim>
</port>
</output>
</layer>
<layer id="10" name="Reverse_237290" type="Reverse" version="opset1">
<data mode="index" />
<input>
<port id="0" precision="I32">
<dim>-1</dim>
<dim>-1</dim>
</port>
<port id="1" precision="I32">
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="I32">
<dim>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="11" name="Reverse_237290" type="Convert" version="opset1">
<data destination_type="i64" />
<input>
<port id="0" precision="I32">
<dim>-1</dim>
<dim>-1</dim>
</port>
</input>
<output>
<port id="1" precision="I64" names="attention_mask">
<dim>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="13" name="Constant_237286" type="Const" version="opset1">
<data element_type="i32" shape="" offset="499981" size="4" />
<output>
<port id="0" precision="I32" />
</output>
</layer>
<layer id="14" name="Broadcast_237287" type="Broadcast" version="opset3">
<data mode="bidirectional" />
<input>
<port id="0" precision="I32" />
<port id="1" precision="I64">
<dim>2</dim>
</port>
</input>
<output>
<port id="2" precision="I32">
<dim>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="15" name="ScatterNDUpdate_237288" type="ScatterNDUpdate" version="opset4">
<input>
<port id="0" precision="I32">
<dim>-1</dim>
<dim>-1</dim>
</port>
<port id="1" precision="I64">
<dim>-1</dim>
<dim>2</dim>
</port>
<port id="2" precision="I32">
<dim>-1</dim>
</port>
</input>
<output>
<port id="3" precision="I32">
<dim>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="16" name="Constant_237291" type="Const" version="opset1">
<data element_type="i32" shape="1" offset="499977" size="4" />
<output>
<port id="0" precision="I32">
<dim>1</dim>
</port>
</output>
</layer>
<layer id="17" name="Reverse_237292" type="Reverse" version="opset1">
<data mode="index" />
<input>
<port id="0" precision="I32">
<dim>-1</dim>
<dim>-1</dim>
</port>
<port id="1" precision="I32">
<dim>1</dim>
</port>
</input>
<output>
<port id="2" precision="I32">
<dim>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="18" name="Reverse_237292" type="Convert" version="opset1">
<data destination_type="i64" />
<input>
<port id="0" precision="I32">
<dim>-1</dim>
<dim>-1</dim>
</port>
</input>
<output>
<port id="1" precision="I64" names="input_ids">
<dim>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="19" name="Result_237293" type="Result" version="opset1">
<input>
<port id="0" precision="I64">
<dim>-1</dim>
<dim>-1</dim>
</port>
</input>
</layer>
<layer id="12" name="Result_237294" type="Result" version="opset1">
<input>
<port id="0" precision="I64">
<dim>-1</dim>
<dim>-1</dim>
</port>
</input>
</layer>
</layers>
<edges>
<edge from-layer="0" from-port="0" to-layer="3" to-port="1" />
<edge from-layer="1" from-port="0" 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="4" to-layer="4" to-port="1" />
<edge from-layer="3" from-port="3" to-layer="6" to-port="0" />
<edge from-layer="3" from-port="2" to-layer="8" to-port="1" />
<edge from-layer="3" from-port="4" to-layer="14" to-port="1" />
<edge from-layer="3" from-port="2" to-layer="15" to-port="1" />
<edge from-layer="3" from-port="3" to-layer="15" to-port="2" />
<edge from-layer="4" from-port="2" to-layer="8" to-port="0" />
<edge from-layer="5" from-port="0" to-layer="7" to-port="0" />
<edge from-layer="6" from-port="1" to-layer="7" to-port="1" />
<edge from-layer="7" from-port="2" to-layer="8" to-port="2" />
<edge from-layer="8" from-port="3" to-layer="10" to-port="0" />
<edge from-layer="9" from-port="0" to-layer="10" to-port="1" />
<edge from-layer="10" from-port="2" to-layer="11" to-port="0" />
<edge from-layer="11" from-port="1" to-layer="12" to-port="0" />
<edge from-layer="13" from-port="0" to-layer="14" to-port="0" />
<edge from-layer="14" from-port="2" to-layer="15" to-port="0" />
<edge from-layer="15" from-port="3" to-layer="17" to-port="0" />
<edge from-layer="16" from-port="0" to-layer="17" to-port="1" />
<edge from-layer="17" from-port="2" to-layer="18" to-port="0" />
<edge from-layer="18" from-port="1" to-layer="19" to-port="0" />
</edges>
<rt_info>
<bos_token_id value="1" />
<chat_template value="{% for message in messages %}{% if message['role'] == 'system' %}{{'&lt;|system|>&#10;' + message['content'] + '&lt;|end|>&#10;'}}{% elif message['role'] == 'user' %}{{'&lt;|user|>&#10;' + message['content'] + '&lt;|end|>&#10;'}}{% elif message['role'] == 'assistant' %}{{'&lt;|assistant|>&#10;' + message['content'] + '&lt;|end|>&#10;'}}{% endif %}{% endfor %}{% if add_generation_prompt %}{{ '&lt;|assistant|>&#10;' }}{% else %}{{ eos_token }}{% endif %}" />
<eos_token_id value="32000" />
<original_tokenizer_class value="&lt;class 'transformers.models.llama.tokenization_llama_fast.LlamaTokenizerFast'>" />
<pad_token_id value="32000" />
</rt_info>
</net>