llava-onevision-qwen2-0.5b-ov-openvino / openvino_tokenizer.xml
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<?xml version="1.0"?>
<net name="tokenizer" version="11">
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<edge from-layer="33" from-port="2" to-layer="35" to-port="0" />
<edge from-layer="34" from-port="0" to-layer="35" to-port="1" />
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<edge from-layer="37" from-port="5" to-layer="41" to-port="0" />
<edge from-layer="38" from-port="1" to-layer="39" to-port="0" />
<edge from-layer="39" from-port="1" to-layer="40" to-port="0" />
<edge from-layer="41" from-port="1" to-layer="42" to-port="0" />
</edges>
<rt_info>
<add_attention_mask value="True" />
<add_prefix_space />
<add_special_tokens value="True" />
<chat_template value="{% for message in messages %}{% if loop.first and messages[0]['role'] != 'system' %}{{ '&lt;|im_start|>system&#10;You are a helpful assistant.&lt;|im_end|>&#10;' }}{% endif %}{{'&lt;|im_start|>' + message['role'] + '&#10;' + message['content'] + '&lt;|im_end|>' + '&#10;'}}{% endfor %}{% if add_generation_prompt %}{{ '&lt;|im_start|>assistant&#10;' }}{% endif %}" />
<clean_up_tokenization_spaces />
<detokenizer_input_type value="i64" />
<eos_token_id value="151645" />
<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.qwen2.tokenization_qwen2_fast.Qwen2TokenizerFast'>" />
<pad_token_id value="151643" />
<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>