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ov-quantized / microsoft_phi3.5_fp16_awq_data /openvino_detokenizer.xml
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Samarth-w
Initial upload of quantized OpenVINO models
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<?xml version="1.0"?>
<net name="detokenizer" version="11">
 <layers>
 <layer id="0" name="Parameter_140959" type="Parameter" version="opset1">
 <data shape="?,?" element_type="i64" />
 <output>
 <port id="0" precision="I64" names="Parameter_140959">
 <dim>-1</dim>
 <dim>-1</dim>
 </port>
 </output>
 </layer>
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 <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>
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 </port>
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 <output>
 <port id="0" precision="I32">
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 <output>
 <port id="0" precision="I32">
 <dim>32011</dim>
 </port>
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 <output>
 <port id="0" precision="U8">
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 </output>
 </layer>
 <layer id="5" name="Slice_140964" type="Const" version="opset1">
 <data element_type="i32" shape="13" offset="467176" size="52" />
 <output>
 <port id="0" precision="I32">
 <dim>13</dim>
 </port>
 </output>
 </layer>
 <layer id="6" name="VocabDecoder_140966" 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">
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 </port>
 <port id="2" precision="I32">
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 <port id="3" precision="U8">
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 </port>
 <port id="4" precision="I32">
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 </port>
 </input>
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 <dim>-1</dim>
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 <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="Constant_140968" type="Const" version="opset1">
 <data element_type="u8" shape="3" offset="467228" size="3" />
 <output>
 <port id="0" precision="U8">
 <dim>3</dim>
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 </layer>
 <layer id="8" name="Constant_140970" type="Const" version="opset1">
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 <output>
 <port id="0" precision="U8">
 <dim>1</dim>
 </port>
 </output>
 </layer>
 <layer id="9" name="RegexNormalization_140971" 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>
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 <dim>-1</dim>
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 <port id="3" precision="U8">
 <dim>3</dim>
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 <dim>1</dim>
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 </input>
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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="U8">
 <dim>-1</dim>
 </port>
 </output>
 </layer>
 <layer id="10" name="ByteFallback_140972" type="ByteFallback" version="extension">
 <input>
 <port id="0" precision="I32">
 <dim>-1</dim>
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 <port id="1" precision="I32">
 <dim>-1</dim>
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 <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="11" name="FuzeRagged_140973" 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="12" name="Constant_140975" type="Const" version="opset1">
 <data element_type="u8" shape="2" offset="467232" size="2" />
 <output>
 <port id="0" precision="U8">
 <dim>2</dim>
 </port>
 </output>
 </layer>
 <layer id="13" name="Constant_140977" type="Const" version="opset1">
 <data element_type="u8" shape="0" offset="467234" size="1" />
 <output>
 <port id="0" precision="U8">
 <dim>0</dim>
 </port>
 </output>
 </layer>
 <layer id="14" name="RegexNormalization_140978" type="RegexNormalization" version="extension">
 <data global_replace="true" />
 <input>
 <port id="0" precision="I32">
 <dim>-1</dim>
 </port>
 <port id="1" precision="I32">
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 <port id="3" precision="U8">
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 <dim>0</dim>
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 </input>
 <output>
 <port id="5" precision="I32">
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 <port id="6" precision="I32">
 <dim>-1</dim>
 </port>
 <port id="7" precision="U8">
 <dim>-1</dim>
 </port>
 </output>
 </layer>
 <layer id="15" name="UTF8Validate_140979" 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>
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 <port id="2" precision="U8">
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 </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="16" name="StringTensorPack_140980" type="StringTensorPack" version="opset15">
 <input>
 <port id="0" precision="I32">
 <dim>-1</dim>
 </port>
 <port id="1" precision="I32">
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 </port>
 <port id="2" precision="U8">
 <dim>-1</dim>
 </port>
 </input>
 <output>
 <port id="3" precision="STRING" names="Result_140981,string_output">
 <dim>-1</dim>
 </port>
 </output>
 </layer>
 <layer id="17" name="Result_140981" type="Result" version="opset1" output_names="Result_140981,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="9" to-port="0" />
 <edge from-layer="6" from-port="8" to-layer="9" to-port="1" />
 <edge from-layer="6" from-port="9" to-layer="9" to-port="2" />
 <edge from-layer="6" from-port="5" to-layer="11" to-port="0" />
 <edge from-layer="6" from-port="6" to-layer="11" to-port="1" />
 <edge from-layer="7" from-port="0" to-layer="9" to-port="3" />
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 <edge from-layer="9" from-port="5" to-layer="10" to-port="0" />
 <edge from-layer="9" from-port="6" to-layer="10" to-port="1" />
 <edge from-layer="9" from-port="7" to-layer="10" to-port="2" />
 <edge from-layer="10" from-port="3" to-layer="11" to-port="2" />
 <edge from-layer="10" from-port="4" to-layer="11" to-port="3" />
 <edge from-layer="10" from-port="5" to-layer="14" to-port="2" />
 <edge from-layer="11" from-port="4" to-layer="14" to-port="0" />
 <edge from-layer="11" from-port="5" to-layer="14" to-port="1" />
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 <edge from-layer="14" from-port="5" to-layer="15" to-port="0" />
 <edge from-layer="14" from-port="6" to-layer="15" to-port="1" />
 <edge from-layer="14" from-port="7" to-layer="15" to-port="2" />
 <edge from-layer="15" from-port="3" to-layer="16" to-port="0" />
 <edge from-layer="15" from-port="4" to-layer="16" to-port="1" />
 <edge from-layer="15" from-port="5" to-layer="16" to-port="2" />
 <edge from-layer="16" from-port="3" to-layer="17" 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="{% for message in messages %}{% if message['role'] == 'system' and message['content'] %}{{'&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 %}" />
 <clean_up_tokenization_spaces />
 <detokenizer_input_type value="i64" />
 <eos_token_id value="32000" />
 <handle_special_tokens_with_re />
 <max_length />
 <number_of_inputs value="1" />
 <openvino_tokenizers_version value="2025.3.0.0-585-95bafb8f8e4" />
 <openvino_version value="2025.3.0-19553-f705706fbce" />
 <original_post_processor_template value="{&quot;type&quot;: &quot;TemplateProcessing&quot;, &quot;single&quot;: [{&quot;Sequence&quot;: {&quot;id&quot;: &quot;A&quot;, &quot;type_id&quot;: 0}}], &quot;pair&quot;: [{&quot;Sequence&quot;: {&quot;id&quot;: &quot;A&quot;, &quot;type_id&quot;: 0}}, {&quot;Sequence&quot;: {&quot;id&quot;: &quot;B&quot;, &quot;type_id&quot;: 1}}], &quot;special_tokens&quot;: {}}" />
 <original_tokenizer_class value="&lt;class 'transformers.models.llama.tokenization_llama_fast.LlamaTokenizerFast'>" />
 <pad_token_id value="32000" />
 <processed_post_processor_template value="{&quot;single&quot;: {&quot;ids&quot;: [-1], &quot;type_ids&quot;: [0]}, &quot;pair&quot;: {&quot;ids&quot;: [-1, -2], &quot;type_ids&quot;: [0, 1]}}" />
 <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="0.21.2" />
 <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>