llava-v1.6-mistral-7b-hf-openvino / openvino_detokenizer.xml
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<?xml version="1.0"?>
<net name="detokenizer" version="11">
<layers>
<layer id="0" name="Parameter_94408" type="Parameter" version="opset1">
<data shape="?,?" element_type="i64" />
<output>
<port id="0" precision="I64" names="Parameter_94408">
<dim>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="1" name="Convert_94430" type="Convert" version="opset1">
<data destination_type="i32" />
<input>
<port id="0" precision="I64">
<dim>-1</dim>
<dim>-1</dim>
</port>
</input>
<output>
<port id="1" precision="I32">
<dim>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="2" name="Constant_94375" type="Const" version="opset1">
<data element_type="u8" shape="332698" offset="0" size="332698" />
<output>
<port id="0" precision="U8">
<dim>332698</dim>
</port>
</output>
</layer>
<layer id="3" name="StringTensorUnpack_94376" type="StringTensorUnpack" version="extension">
<data mode="begins_ends" />
<input>
<port id="0" precision="U8">
<dim>332698</dim>
</port>
</input>
<output>
<port id="1" precision="I32">
<dim>-1</dim>
</port>
<port id="2" precision="I32">
<dim>-1</dim>
</port>
<port id="3" precision="U8">
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="4" name="VocabDecoder_94409" type="VocabDecoder" version="extension">
<data skip_tokens="0, 1, 2, 32000, 32001" />
<input>
<port id="0" precision="I32">
<dim>-1</dim>
<dim>-1</dim>
</port>
<port id="1" precision="I32">
<dim>-1</dim>
</port>
<port id="2" precision="I32">
<dim>-1</dim>
</port>
<port id="3" precision="U8">
<dim>-1</dim>
</port>
</input>
<output>
<port id="4" precision="I32">
<dim>-1</dim>
</port>
<port id="5" precision="I32">
<dim>-1</dim>
</port>
<port id="6" precision="I32">
<dim>-1</dim>
</port>
<port id="7" precision="I32">
<dim>-1</dim>
</port>
<port id="8" precision="U8">
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="5" name="Constant_94411" type="Const" version="opset1">
<data element_type="u8" shape="3" offset="332698" size="3" />
<output>
<port id="0" precision="U8">
<dim>3</dim>
</port>
</output>
</layer>
<layer id="6" name="Constant_94413" type="Const" version="opset1">
<data element_type="u8" shape="1" offset="332701" size="1" />
<output>
<port id="0" precision="U8">
<dim>1</dim>
</port>
</output>
</layer>
<layer id="7" name="RegexNormalization_94414" 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">
<dim>-1</dim>
</port>
<port id="3" precision="U8">
<dim>3</dim>
</port>
<port id="4" precision="U8">
<dim>1</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="8" name="ByteFallback_94415" type="ByteFallback" version="extension">
<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="I32">
<dim>-1</dim>
</port>
<port id="4" precision="I32">
<dim>-1</dim>
</port>
<port id="5" precision="U8">
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="9" name="FuzeRagged_94416" type="FuzeRagged" version="extension">
<input>
<port id="0" precision="I32">
<dim>-1</dim>
</port>
<port id="1" precision="I32">
<dim>-1</dim>
</port>
<port id="2" precision="I32">
<dim>-1</dim>
</port>
<port id="3" precision="I32">
<dim>-1</dim>
</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="10" name="Constant_94418" type="Const" version="opset1">
<data element_type="u8" shape="2" offset="332702" size="2" />
<output>
<port id="0" precision="U8">
<dim>2</dim>
</port>
</output>
</layer>
<layer id="11" name="Constant_94420" type="Const" version="opset1">
<data element_type="u8" shape="0" offset="332704" size="1" />
<output>
<port id="0" precision="U8">
<dim>0</dim>
</port>
</output>
</layer>
<layer id="12" name="RegexNormalization_94421" 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">
<dim>-1</dim>
</port>
<port id="3" precision="U8">
<dim>2</dim>
</port>
<port id="4" precision="U8">
<dim>0</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="13" name="StringTensorPack_94422" 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="14" name="Result_94423" 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="6" to-layer="7" to-port="0" />
<edge from-layer="4" from-port="7" to-layer="7" to-port="1" />
<edge from-layer="4" from-port="8" to-layer="7" to-port="2" />
<edge from-layer="4" from-port="5" to-layer="9" to-port="1" />
<edge from-layer="4" from-port="4" to-layer="9" to-port="0" />
<edge from-layer="5" from-port="0" to-layer="7" to-port="3" />
<edge from-layer="6" from-port="0" to-layer="7" to-port="4" />
<edge from-layer="7" from-port="7" to-layer="8" to-port="2" />
<edge from-layer="7" from-port="6" to-layer="8" to-port="1" />
<edge from-layer="7" from-port="5" to-layer="8" to-port="0" />
<edge from-layer="8" from-port="3" to-layer="9" to-port="2" />
<edge from-layer="8" from-port="4" to-layer="9" to-port="3" />
<edge from-layer="8" from-port="5" to-layer="12" to-port="2" />
<edge from-layer="9" from-port="4" to-layer="12" to-port="0" />
<edge from-layer="9" from-port="5" to-layer="12" to-port="1" />
<edge from-layer="10" from-port="0" to-layer="12" to-port="3" />
<edge from-layer="11" from-port="0" to-layer="12" to-port="4" />
<edge from-layer="12" from-port="5" to-layer="13" to-port="0" />
<edge from-layer="12" from-port="6" to-layer="13" to-port="1" />
<edge from-layer="12" from-port="7" to-layer="13" to-port="2" />
<edge from-layer="13" from-port="3" to-layer="14" to-port="0" />
</edges>
<rt_info>
<add_attention_mask value="True" />
<add_prefix_space />
<add_special_tokens value="True" />
<bos_token_id value="1" />
<chat_template value="{{ bos_token }}{% for message in messages %}{% if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}{{ raise_exception('Conversation roles must alternate user/assistant/user/assistant/...') }}{% endif %}{% if message['role'] == 'user' %}{{ '[INST] ' + message['content'] + ' [/INST]' }}{% elif message['role'] == 'assistant' %}{{ message['content'] + eos_token}}{% else %}{{ raise_exception('Only user and assistant roles are supported!') }}{% endif %}{% endfor %}" />
<clean_up_tokenization_spaces />
<detokenizer_input_type value="i64" />
<eos_token_id value="2" />
<handle_special_tokens_with_re />
<number_of_inputs value="1" />
<openvino_tokenizers_version value="2024.5.0.0" />
<openvino_version value="2024.5.0" />
<original_tokenizer_class value="&lt;class 'transformers.models.llama.tokenization_llama_fast.LlamaTokenizerFast'>" />
<pad_token_id value="32001" />
<sentencepiece_version value="0.2.0" />
<skip_special_tokens value="True" />
<streaming_detokenizer value="False" />
<tiktoken_version value="0.8.0" />
<tokenizer_output_type value="i64" />
<tokenizers_version value="0.20.3" />
<transformers_version value="4.46.3" />
<use_max_padding value="False" />
<use_sentencepiece_backend value="False" />
<utf8_replace_mode />
<with_detokenizer value="True" />
</rt_info>
</net>