Upload 14 files
Browse files- added_tokens.json +5 -0
- config.json +27 -0
- generation_config.json +14 -0
- merges.txt +0 -0
- openvino_detokenizer.bin +3 -0
- openvino_detokenizer.xml +170 -0
- openvino_model.bin +3 -0
- openvino_model.xml +0 -0
- openvino_tokenizer.bin +3 -0
- openvino_tokenizer.xml +898 -0
- special_tokens_map.json +20 -0
- tokenizer.json +0 -0
- tokenizer_config.json +43 -0
- vocab.json +0 -0
added_tokens.json
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{
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"<|endoftext|>": 151643,
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"<|im_end|>": 151645,
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"<|im_start|>": 151644
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}
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config.json
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{
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"_name_or_path": "Qwen/Qwen2-1.5B-Instruct",
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"architectures": [
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"Qwen2ForCausalLM"
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],
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"attention_dropout": 0.0,
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"bos_token_id": 151643,
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"eos_token_id": 151645,
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"hidden_act": "silu",
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"hidden_size": 1536,
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"initializer_range": 0.02,
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"intermediate_size": 8960,
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"max_position_embeddings": 32768,
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"max_window_layers": 28,
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"model_type": "qwen2",
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"num_attention_heads": 12,
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"num_hidden_layers": 28,
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"num_key_value_heads": 2,
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"rms_norm_eps": 1e-06,
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"rope_theta": 1000000.0,
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"sliding_window": null,
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"tie_word_embeddings": true,
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"transformers_version": "4.43.4",
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"use_cache": true,
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"use_sliding_window": false,
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"vocab_size": 151936
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}
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generation_config.json
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{
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"bos_token_id": 151643,
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"do_sample": true,
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"eos_token_id": [
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151645,
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151643
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],
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"pad_token_id": 151643,
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"repetition_penalty": 1.1,
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"temperature": 0.7,
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"top_k": 20,
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"top_p": 0.8,
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"transformers_version": "4.43.4"
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}
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merges.txt
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The diff for this file is too large to render.
See raw diff
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openvino_detokenizer.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:21cf6c8b56befd893a8bdb1f17df48df1fcb2d848dfd8396fc63a8e89bc31820
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size 1976110
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openvino_detokenizer.xml
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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_293091" 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_293091">
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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_293102" 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_292994" type="Const" version="opset1">
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<data element_type="u8" shape="1976110" offset="0" size="1976110" />
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<output>
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<port id="0" precision="U8">
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<dim>1976110</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_292995" 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>1976110</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_293092" type="VocabDecoder" version="extension">
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<data skip_tokens="151643, 151644, 151645" />
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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="CharsToBytes_293093" type="CharsToBytes" 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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<port id="4" 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="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="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="6" name="StringTensorPack_293094" 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_293095" 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="5" to-port="4" />
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<edge from-layer="5" from-port="5" to-layer="6" to-port="0" />
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<edge from-layer="5" from-port="6" to-layer="6" to-port="1" />
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<edge from-layer="5" from-port="7" to-layer="6" to-port="2" />
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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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<chat_template value="{% for message in messages %}{% if loop.first and messages[0]['role'] != 'system' %}{{ '<|im_start|>system You are a helpful assistant.<|im_end|> ' }}{% endif %}{{'<|im_start|>' + message['role'] + ' ' + message['content'] + '<|im_end|>' + ' '}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant ' }}{% endif %}" />
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<eos_token_id value="151645" />
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<original_tokenizer_class value="<class 'transformers.models.qwen2.tokenization_qwen2_fast.Qwen2TokenizerFast'>" />
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<pad_token_id value="151643" />
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</rt_info>
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</net>
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openvino_model.bin
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:196fbda18f324ebc3e1ad187f1e28ff62240d715bfb5e1921f86b8ed87546667
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size 1580094868
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openvino_model.xml
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The diff for this file is too large to render.
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openvino_tokenizer.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:e745520f476f019c0d67911a837d207d46a9e15e3dcdb697de42f3f1ec0caf0b
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size 4102373
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openvino_tokenizer.xml
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|
1 |
+
<?xml version="1.0"?>
|
2 |
+
<net name="tokenizer" version="11">
|
3 |
+
<layers>
|
4 |
+
<layer id="0" name="Parameter_292906" type="Parameter" version="opset1">
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5 |
+
<data shape="?" element_type="string" />
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6 |
+
<output>
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7 |
+
<port id="0" precision="STRING" names="Parameter_292906">
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8 |
+
<dim>-1</dim>
|
9 |
+
</port>
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10 |
+
</output>
|
11 |
+
</layer>
|
12 |
+
<layer id="1" name="Constant_292913" type="Const" version="opset1">
|
13 |
+
<data element_type="i32" shape="" offset="0" size="4" />
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14 |
+
<output>
|
15 |
+
<port id="0" precision="I32" />
|
16 |
+
</output>
|
17 |
+
</layer>
|
18 |
+
<layer id="2" name="StringTensorUnpack_292907" type="StringTensorUnpack" version="extension">
|
19 |
+
<data mode="begins_ends" />
|
20 |
+
<input>
|
21 |
+
<port id="0" precision="STRING">
|
22 |
+
<dim>-1</dim>
|
23 |
+
</port>
|
24 |
+
</input>
|
25 |
+
<output>
|
26 |
+
<port id="1" precision="I32">
|
27 |
+
<dim>-1</dim>
|
28 |
+
</port>
|
29 |
+
<port id="2" precision="I32">
|
30 |
+
<dim>-1</dim>
|
31 |
+
</port>
|
32 |
+
<port id="3" precision="U8">
|
33 |
+
<dim>-1</dim>
|
34 |
+
</port>
|
35 |
+
</output>
|
36 |
+
</layer>
|
37 |
+
<layer id="3" name="NormalizeUnicode_292908" type="NormalizeUnicode" version="extension">
|
38 |
+
<data normalization_form="NFC" />
|
39 |
+
<input>
|
40 |
+
<port id="0" precision="I32">
|
41 |
+
<dim>-1</dim>
|
42 |
+
</port>
|
43 |
+
<port id="1" precision="I32">
|
44 |
+
<dim>-1</dim>
|
45 |
+
</port>
|
46 |
+
<port id="2" precision="U8">
|
47 |
+
<dim>-1</dim>
|
48 |
+
</port>
|
49 |
+
</input>
|
50 |
+
<output>
|
51 |
+
<port id="3" precision="I32">
|
52 |
+
<dim>-1</dim>
|
53 |
+
</port>
|
54 |
+
<port id="4" precision="I32">
|
55 |
+
<dim>-1</dim>
|
56 |
+
</port>
|
57 |
+
<port id="5" precision="U8">
|
58 |
+
<dim>-1</dim>
|
59 |
+
</port>
|
60 |
+
</output>
|
61 |
+
</layer>
|
62 |
+
<layer id="4" name="ShapeOf_292909" type="ShapeOf" version="opset3">
|
63 |
+
<data output_type="i64" />
|
64 |
+
<input>
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65 |
+
<port id="0" precision="I32">
|
66 |
+
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|
67 |
+
</port>
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68 |
+
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|
69 |
+
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|
70 |
+
<port id="1" precision="I64">
|
71 |
+
<dim>1</dim>
|
72 |
+
</port>
|
73 |
+
</output>
|
74 |
+
</layer>
|
75 |
+
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|
76 |
+
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77 |
+
<output>
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78 |
+
<port id="0" precision="I32" />
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79 |
+
</output>
|
80 |
+
</layer>
|
81 |
+
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82 |
+
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83 |
+
<output>
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84 |
+
<port id="0" precision="I32" />
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85 |
+
</output>
|
86 |
+
</layer>
|
87 |
+
<layer id="7" name="Gather_292912" type="Gather" version="opset8">
|
88 |
+
<data batch_dims="0" />
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89 |
+
<input>
|
90 |
+
<port id="0" precision="I64">
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91 |
+
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92 |
+
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93 |
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94 |
+
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95 |
+
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96 |
+
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97 |
+
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|
98 |
+
</output>
|
99 |
+
</layer>
|
100 |
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101 |
+
<data element_type="i32" shape="" offset="4" size="4" />
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102 |
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<output>
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103 |
+
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104 |
+
</output>
|
105 |
+
</layer>
|
106 |
+
<layer id="9" name="Range_292915" type="Range" version="opset4">
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107 |
+
<data output_type="i32" />
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108 |
+
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109 |
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110 |
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111 |
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112 |
+
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113 |
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114 |
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115 |
+
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|
116 |
+
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|
117 |
+
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|
118 |
+
</layer>
|
119 |
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120 |
+
<data element_type="i32" shape="" offset="4" size="4" />
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121 |
+
<output>
|
122 |
+
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|
123 |
+
</output>
|
124 |
+
</layer>
|
125 |
+
<layer id="11" name="Constant_292918" type="Const" version="opset1">
|
126 |
+
<data element_type="i64" shape="" offset="8" size="8" />
|
127 |
+
<output>
|
128 |
+
<port id="0" precision="I64" />
|
129 |
+
</output>
|
130 |
+
</layer>
|
131 |
+
<layer id="12" name="Add_292919" type="Add" version="opset1">
|
132 |
+
<data auto_broadcast="numpy" />
|
133 |
+
<input>
|
134 |
+
<port id="0" precision="I64" />
|
135 |
+
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|
136 |
+
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137 |
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|
138 |
+
<port id="2" precision="I64" />
|
139 |
+
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|
140 |
+
</layer>
|
141 |
+
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|
142 |
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143 |
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<output>
|
144 |
+
<port id="0" precision="I32" />
|
145 |
+
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|
146 |
+
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|
147 |
+
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|
148 |
+
<data output_type="i32" />
|
149 |
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<input>
|
150 |
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151 |
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|
152 |
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|
153 |
+
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|
154 |
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|
155 |
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<port id="3" precision="I32">
|
156 |
+
<dim>-1</dim>
|
157 |
+
</port>
|
158 |
+
</output>
|
159 |
+
</layer>
|
160 |
+
<layer id="15" name="Constant_292984" type="Const" version="opset1">
|
161 |
+
<data element_type="u8" shape="49" offset="16" size="49" />
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162 |
+
<output>
|
163 |
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<port id="0" precision="U8">
|
164 |
+
<dim>49</dim>
|
165 |
+
</port>
|
166 |
+
</output>
|
167 |
+
</layer>
|
168 |
+
<layer id="16" name="RegexSplit_292985" type="RegexSplit" version="extension">
|
169 |
+
<data behaviour="isolate" invert="false" max_splits="-1" />
|
170 |
+
<input>
|
171 |
+
<port id="0" precision="I32">
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172 |
+
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|
173 |
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174 |
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|
175 |
+
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176 |
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177 |
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<port id="2" precision="I32">
|
178 |
+
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|
179 |
+
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180 |
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<port id="3" precision="I32">
|
181 |
+
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|
182 |
+
</port>
|
183 |
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<port id="4" precision="U8">
|
184 |
+
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|
185 |
+
</port>
|
186 |
+
<port id="5" precision="U8">
|
187 |
+
<dim>49</dim>
|
188 |
+
</port>
|
189 |
+
</input>
|
190 |
+
<output>
|
191 |
+
<port id="6" precision="I32">
|
192 |
+
<dim>-1</dim>
|
193 |
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</port>
|
194 |
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<port id="7" precision="I32">
|
195 |
+
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|
196 |
+
</port>
|
197 |
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|
198 |
+
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|
199 |
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|
200 |
+
<port id="9" precision="I32">
|
201 |
+
<dim>-1</dim>
|
202 |
+
</port>
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891 |
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</edges>
|
892 |
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<rt_info>
|
893 |
+
<chat_template value="{% for message in messages %}{% if loop.first and messages[0]['role'] != 'system' %}{{ '<|im_start|>system You are a helpful assistant.<|im_end|> ' }}{% endif %}{{'<|im_start|>' + message['role'] + ' ' + message['content'] + '<|im_end|>' + ' '}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant ' }}{% endif %}" />
|
894 |
+
<eos_token_id value="151645" />
|
895 |
+
<original_tokenizer_class value="<class 'transformers.models.qwen2.tokenization_qwen2_fast.Qwen2TokenizerFast'>" />
|
896 |
+
<pad_token_id value="151643" />
|
897 |
+
</rt_info>
|
898 |
+
</net>
|
special_tokens_map.json
ADDED
@@ -0,0 +1,20 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"additional_special_tokens": [
|
3 |
+
"<|im_start|>",
|
4 |
+
"<|im_end|>"
|
5 |
+
],
|
6 |
+
"eos_token": {
|
7 |
+
"content": "<|im_end|>",
|
8 |
+
"lstrip": false,
|
9 |
+
"normalized": false,
|
10 |
+
"rstrip": false,
|
11 |
+
"single_word": false
|
12 |
+
},
|
13 |
+
"pad_token": {
|
14 |
+
"content": "<|endoftext|>",
|
15 |
+
"lstrip": false,
|
16 |
+
"normalized": false,
|
17 |
+
"rstrip": false,
|
18 |
+
"single_word": false
|
19 |
+
}
|
20 |
+
}
|
tokenizer.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
tokenizer_config.json
ADDED
@@ -0,0 +1,43 @@
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1 |
+
{
|
2 |
+
"add_prefix_space": false,
|
3 |
+
"added_tokens_decoder": {
|
4 |
+
"151643": {
|
5 |
+
"content": "<|endoftext|>",
|
6 |
+
"lstrip": false,
|
7 |
+
"normalized": false,
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8 |
+
"rstrip": false,
|
9 |
+
"single_word": false,
|
10 |
+
"special": true
|
11 |
+
},
|
12 |
+
"151644": {
|
13 |
+
"content": "<|im_start|>",
|
14 |
+
"lstrip": false,
|
15 |
+
"normalized": false,
|
16 |
+
"rstrip": false,
|
17 |
+
"single_word": false,
|
18 |
+
"special": true
|
19 |
+
},
|
20 |
+
"151645": {
|
21 |
+
"content": "<|im_end|>",
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22 |
+
"lstrip": false,
|
23 |
+
"normalized": false,
|
24 |
+
"rstrip": false,
|
25 |
+
"single_word": false,
|
26 |
+
"special": true
|
27 |
+
}
|
28 |
+
},
|
29 |
+
"additional_special_tokens": [
|
30 |
+
"<|im_start|>",
|
31 |
+
"<|im_end|>"
|
32 |
+
],
|
33 |
+
"bos_token": null,
|
34 |
+
"chat_template": "{% for message in messages %}{% if loop.first and messages[0]['role'] != 'system' %}{{ '<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n' }}{% endif %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}",
|
35 |
+
"clean_up_tokenization_spaces": false,
|
36 |
+
"eos_token": "<|im_end|>",
|
37 |
+
"errors": "replace",
|
38 |
+
"model_max_length": 32768,
|
39 |
+
"pad_token": "<|endoftext|>",
|
40 |
+
"split_special_tokens": false,
|
41 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
42 |
+
"unk_token": null
|
43 |
+
}
|
vocab.json
ADDED
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