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<?xml version="1.0"?>
<net name="detokenizer" version="11">
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<layer id="5" name="Slice_204356" type="Const" version="opset1">
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<output>
<port id="0" precision="I32">
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</port>
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</layer>
<layer id="6" name="VocabDecoder_204358" type="VocabDecoder" version="extension">
<data skip_tokens="" />
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<dim>-1</dim>
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<layer id="7" name="FuzeRagged_204359" type="FuzeRagged" version="extension">
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</layer>
<layer id="8" name="UTF8Validate_204360" type="UTF8Validate" version="extension">
<data replace_mode="true" />
<input>
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<port id="0" precision="U8">
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</layer>
<layer id="11" name="RegexNormalization_204365" type="RegexNormalization" version="extension">
<data global_replace="true" />
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<port id="0" precision="I32">
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</output>
</layer>
<layer id="12" name="StringTensorPack_204366" type="StringTensorPack" version="opset15">
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<port id="0" precision="I32">
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</input>
<output>
<port id="3" precision="STRING" names="Result_204367,string_output">
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="13" name="Result_204367" type="Result" version="opset1" output_names="Result_204367,string_output">
<input>
<port id="0" precision="STRING">
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</port>
</input>
</layer>
</layers>
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</edges>
<rt_info>
<add_attention_mask value="True" />
<add_prefix_space />
<add_special_tokens value="True" />
<bos_token_id value="0" />
<chat_template value="{% set system_message = '' %}{% set loop_start = 0 %}{% if messages[0]['role'] == 'system' %}{% set loop_start = 1 %}{% set system_message = '### Instruction: ' ~ messages[0]['content'] ~ '\nComplete the conversation below between [|Human|] and [|AI|]:\n### Input:' %}{% else %}{% set system_message = '### Instruction: Your name is Jais, and you are named after Jebel Jais, the highest mountain in UAE. You were made by Inception in the UAE. You are a helpful, respectful, and honest assistant. Always answer as helpfully as possible, while being safe. Complete the conversation below between [|Human|] and [|AI|]:\n### Input:' %}{% endif %}{% for i in range(loop_start, messages | length) %}{% set message = messages[i] %}{% if i == loop_start %}{% set content = system_message %}{% else %}{% set content = message['content'] %}{% endif %}{% if message['role'] == 'user' %}{% if i == loop_start %}{{ content ~ ' [|Human|] ' ~ message['content'] }}{% else %}{{ '\n[|Human|] ' ~ content | trim }}{% endif %}{% elif message['role'] == 'assistant' %}{{ '\n[|AI|] ' ~ content | trim }}{% endif %}{% endfor %}{% if add_generation_prompt and messages[messages | length - 1]['role'] != 'assistant' %}{{ '\n[|AI|]\n### Response:' }}{% endif %}" />
<clean_up_tokenization_spaces />
<detokenizer_input_type value="i64" />
<eos_token_id value="0" />
<handle_special_tokens_with_re />
<max_length />
<number_of_inputs value="1" />
<openvino_tokenizers_version value="2025.2.0.0-543-7d64f2807ff" />
<openvino_version value="2025.2.0-18660-3ceeeb52d64" />
<original_post_processor_template value="{"type": "ByteLevel", "add_prefix_space": true, "trim_offsets": false, "use_regex": true}" />
<original_tokenizer_class value="<class 'transformers.tokenization_utils_fast.PreTrainedTokenizerFast'>" />
<pad_token_id value="0" />
<sentencepiece_version value="0.2.0" />
<skip_special_tokens value="True" />
<streaming_detokenizer value="False" />
<tokenizer_output_type value="i64" />
<tokenizers_version value="0.21.1" />
<transformers_version value="4.48.3" />
<use_max_padding value="False" />
<use_sentencepiece_backend value="False" />
<utf8_replace_mode value="replace" />
<with_detokenizer value="True" />
</rt_info>
</net>
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