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SmolLM2-1.7B-Instruct-openvino-4bit

Text Generation
Transformers
OpenVINO
English
llama
nncf
4-bit precision
conversational
Inference Endpoints
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Upload openvino_detokenizer.xml with huggingface_hub

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  1. openvino_detokenizer.xml +184 -0
openvino_detokenizer.xml ADDED
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+ <?xml version="1.0"?>
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+ <net name="detokenizer" version="11">
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+ <layers>
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+ <layer id="0" name="Parameter_236559" type="Parameter" version="opset1">
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+ <data shape="?,?" element_type="i64" />
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+ <output>
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+ <port id="0" precision="I64" names="Parameter_236559">
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+ <dim>-1</dim>
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+ <dim>-1</dim>
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+ </port>
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+ </output>
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+ </layer>
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+ <layer id="1" name="Convert_236570" type="Convert" version="opset1">
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+ <data destination_type="i32" />
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+ <input>
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+ <port id="0" precision="I64">
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+ <dim>-1</dim>
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+ <dim>-1</dim>
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+ </port>
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+ </input>
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+ <output>
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+ <port id="1" precision="I32">
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+ <dim>-1</dim>
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+ <dim>-1</dim>
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+ </port>
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+ </output>
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+ </layer>
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+ <layer id="2" name="Constant_236534" type="Const" version="opset1">
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+ <data element_type="u8" shape="528983" offset="0" size="528983" />
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+ <output>
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+ <port id="0" precision="U8">
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+ <dim>528983</dim>
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+ </port>
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+ </output>
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+ </layer>
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+ <layer id="3" name="StringTensorUnpack_236535" type="StringTensorUnpack" version="extension">
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+ <data mode="begins_ends" />
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+ <input>
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+ <port id="0" precision="U8">
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+ <dim>528983</dim>
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+ </port>
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+ </input>
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+ <output>
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+ <port id="1" precision="I32">
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+ <dim>-1</dim>
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+ </port>
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+ <port id="2" precision="I32">
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+ <dim>-1</dim>
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+ </port>
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+ <port id="3" precision="U8">
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+ <dim>-1</dim>
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+ </port>
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+ </output>
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+ </layer>
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+ <layer id="4" name="VocabDecoder_236560" type="VocabDecoder" version="extension">
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+ <data skip_tokens="0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16" />
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+ <input>
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+ <port id="0" precision="I32">
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+ <dim>-1</dim>
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+ <dim>-1</dim>
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+ </port>
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+ <port id="1" precision="I32">
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+ <dim>-1</dim>
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+ </port>
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+ <port id="2" precision="I32">
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+ <dim>-1</dim>
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+ </port>
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+ <port id="3" precision="U8">
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+ <dim>-1</dim>
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+ </port>
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+ </input>
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+ <output>
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+ <port id="4" precision="I32">
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+ <dim>-1</dim>
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+ </port>
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+ <port id="5" precision="I32">
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+ <dim>-1</dim>
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+ </port>
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+ <port id="6" precision="I32">
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+ <dim>-1</dim>
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+ </port>
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+ <port id="7" precision="I32">
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+ <dim>-1</dim>
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+ </port>
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+ <port id="8" precision="U8">
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+ <dim>-1</dim>
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+ </port>
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+ </output>
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+ </layer>
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+ <layer id="5" name="FuzeRagged_236561" type="FuzeRagged" version="extension">
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+ <input>
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+ <port id="0" precision="I32">
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+ <dim>-1</dim>
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+ </port>
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+ <port id="1" precision="I32">
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+ <dim>-1</dim>
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+ </port>
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+ <port id="2" precision="I32">
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+ <dim>-1</dim>
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+ </port>
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+ <port id="3" precision="I32">
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+ <dim>-1</dim>
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+ </port>
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+ </input>
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+ <output>
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+ <port id="4" precision="I32">
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+ <dim>-1</dim>
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+ </port>
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+ <port id="5" precision="I32">
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+ <dim>-1</dim>
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+ </port>
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+ </output>
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+ </layer>
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+ <layer id="6" name="StringTensorPack_236562" type="StringTensorPack" version="extension">
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+ <data mode="begins_ends" />
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+ <input>
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+ <port id="0" precision="I32">
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+ <dim>-1</dim>
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+ </port>
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+ <port id="1" precision="I32">
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+ <dim>-1</dim>
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+ </port>
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+ <port id="2" precision="U8">
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+ <dim>-1</dim>
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+ </port>
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+ </input>
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+ <output>
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+ <port id="3" precision="STRING" names="string_output">
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+ <dim>-1</dim>
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+ </port>
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+ </output>
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+ </layer>
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+ <layer id="7" name="Result_236563" type="Result" version="opset1">
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+ <input>
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+ <port id="0" precision="STRING">
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+ <dim>-1</dim>
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+ </port>
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+ </input>
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+ </layer>
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+ </layers>
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+ <edges>
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+ <edge from-layer="0" from-port="0" to-layer="1" to-port="0" />
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+ <edge from-layer="1" from-port="1" to-layer="4" to-port="0" />
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+ <edge from-layer="2" from-port="0" to-layer="3" to-port="0" />
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+ <edge from-layer="3" from-port="1" to-layer="4" to-port="1" />
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+ <edge from-layer="3" from-port="2" to-layer="4" to-port="2" />
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+ <edge from-layer="3" from-port="3" to-layer="4" to-port="3" />
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+ <edge from-layer="4" from-port="4" to-layer="5" to-port="0" />
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+ <edge from-layer="4" from-port="5" to-layer="5" to-port="1" />
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+ <edge from-layer="4" from-port="6" to-layer="5" to-port="2" />
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+ <edge from-layer="4" from-port="7" to-layer="5" to-port="3" />
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+ <edge from-layer="4" from-port="8" to-layer="6" to-port="2" />
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+ <edge from-layer="5" from-port="4" to-layer="6" to-port="0" />
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+ <edge from-layer="5" from-port="5" to-layer="6" to-port="1" />
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+ <edge from-layer="6" from-port="3" to-layer="7" to-port="0" />
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+ </edges>
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+ <rt_info>
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+ <add_attention_mask value="True" />
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+ <add_prefix_space />
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+ <add_special_tokens value="True" />
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+ <bos_token_id value="1" />
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+ <chat_template value="{% for message in messages %}{% if loop.first and messages[0]['role'] != 'system' %}{{ '&lt;|im_start|>system&#10;You are a helpful AI assistant named SmolLM, trained by Hugging Face&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 %}" />
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+ <clean_up_tokenization_spaces />
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+ <detokenizer_input_type value="i64" />
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+ <eos_token_id value="2" />
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+ <handle_special_tokens_with_re />
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+ <number_of_inputs value="1" />
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+ <openvino_tokenizers_version value="2024.5.0.0.dev20241030" />
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+ <openvino_version value="2024.5.0.dev20241030" />
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+ <original_tokenizer_class value="&lt;class 'transformers.models.gpt2.tokenization_gpt2_fast.GPT2TokenizerFast'>" />
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+ <pad_token_id value="2" />
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+ <sentencepiece_version value="0.2.0" />
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+ <skip_special_tokens value="True" />
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+ <streaming_detokenizer value="False" />
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+ <tiktoken_version value="0.8.0" />
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+ <tokenizer_output_type value="i64" />
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+ <tokenizers_version value="0.20.1" />
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+ <transformers_version value="4.45.2" />
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+ <use_max_padding value="False" />
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+ <use_sentencepiece_backend value="False" />
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+ <utf8_replace_mode />
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+ <with_detokenizer value="True" />
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+ </rt_info>
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+ </net>