smolvlm-int4-ov / openvino_detokenizer.xml
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<?xml version="1.0"?>
<net name="detokenizer" version="11">
<layers>
<layer id="0" name="Parameter_1531809" type="Parameter" version="opset1">
<data shape="?,?" element_type="i64" />
<output>
<port id="0" precision="I64" names="Parameter_1531809">
<dim>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="1" name="Convert_1531999" 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_1531811" type="Const" version="opset1">
<data element_type="i32" shape="49155" offset="0" size="196620" />
<output>
<port id="0" precision="I32">
<dim>49155</dim>
</port>
</output>
</layer>
<layer id="3" name="Constant_1531813" type="Const" version="opset1">
<data element_type="i32" shape="49155" offset="196620" size="196620" />
<output>
<port id="0" precision="I32">
<dim>49155</dim>
</port>
</output>
</layer>
<layer id="4" name="Constant_1531815" type="Const" version="opset1">
<data element_type="u8" shape="332417" offset="393240" size="332417" />
<output>
<port id="0" precision="U8">
<dim>332417</dim>
</port>
</output>
</layer>
<layer id="5" name="Slice_1531820" type="Const" version="opset1">
<data element_type="i32" shape="20" offset="725657" size="80" />
<output>
<port id="0" precision="I32">
<dim>20</dim>
</port>
</output>
</layer>
<layer id="6" name="VocabDecoder_1531822" 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">
<dim>49155</dim>
</port>
<port id="2" precision="I32">
<dim>49155</dim>
</port>
<port id="3" precision="U8">
<dim>332417</dim>
</port>
<port id="4" precision="I32">
<dim>20</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">
<dim>-1</dim>
</port>
<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_1531823" 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="8" name="UTF8Validate_1531824" 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">
<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="StringTensorPack_1531825" type="StringTensorPack" version="opset15">
<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="Result_1531826,string_output">
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="10" name="Result_1531826" type="Result" version="opset1" output_names="Result_1531826,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" />
<edge from-layer="4" from-port="0" to-layer="6" to-port="3" />
<edge from-layer="5" from-port="0" to-layer="6" to-port="4" />
<edge from-layer="6" from-port="7" to-layer="7" to-port="2" />
<edge from-layer="6" from-port="9" to-layer="8" to-port="2" />
<edge from-layer="6" from-port="8" to-layer="7" to-port="3" />
<edge from-layer="6" from-port="6" to-layer="7" to-port="1" />
<edge from-layer="6" from-port="5" to-layer="7" to-port="0" />
<edge from-layer="7" from-port="4" to-layer="8" to-port="0" />
<edge from-layer="7" from-port="5" to-layer="8" to-port="1" />
<edge from-layer="8" from-port="3" to-layer="9" to-port="0" />
<edge from-layer="8" from-port="4" to-layer="9" to-port="1" />
<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" />
<bos_token_id value="1" />
<chat_template value="&lt;|im_start|>{% for message in messages %}{{message['role'] | capitalize}}{% if message['content'][0]['type'] == 'image' %}{{':'}}{% else %}{{': '}}{% endif %}{% for line in message['content'] %}{% if line['type'] == 'text' %}{{line['text']}}{% elif line['type'] == 'image' %}{{ '&lt;image>' }}{% endif %}{% endfor %}&lt;end_of_utterance>&#10;{% endfor %}{% if add_generation_prompt %}{{ 'Assistant:' }}{% endif %}" />
<clean_up_tokenization_spaces />
<detokenizer_input_type value="i64" />
<eos_token_id value="49154" />
<handle_special_tokens_with_re />
<max_length />
<number_of_inputs value="1" />
<openvino_tokenizers_version value="2025.2.0.1-567-7885335c24b" />
<openvino_version value="2025.2.0-19140-c01cd93e24d-releases/2025/2" />
<original_tokenizer_class value="&lt;class 'transformers.models.gpt2.tokenization_gpt2_fast.GPT2TokenizerFast'>" />
<pad_token_id value="2" />
<sentencepiece_version value="0.2.0" />
<skip_special_tokens value="True" />
<streaming_detokenizer value="False" />
<tiktoken_version value="0.9.0" />
<tokenizer_output_type value="i64" />
<tokenizers_version value="0.21.4.dev0" />
<transformers_version value="4.52.4" />
<use_max_padding value="False" />
<use_sentencepiece_backend value="False" />
<utf8_replace_mode value="replace" />
<with_detokenizer value="True" />
</rt_info>
</net>