Upload 13 files
Browse files- config.json +39 -0
- generation_config.json +6 -0
- merges.txt +0 -0
- openvino_detokenizer.bin +3 -0
- openvino_detokenizer.xml +219 -0
- openvino_model.bin +3 -0
- openvino_model.xml +0 -0
- openvino_tokenizer.bin +3 -0
- openvino_tokenizer.xml +563 -0
- special_tokens_map.json +23 -0
- tokenizer.json +0 -0
- tokenizer_config.json +19 -0
- vocab.json +0 -0
config.json
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{
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"_name_or_path": "umarbutler/open-australian-legal-llm",
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"activation_function": "gelu_new",
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"architectures": [
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"GPT2LMHeadModel"
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],
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"attn_pdrop": 0.1,
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"bos_token_id": 0,
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"embd_pdrop": 0.1,
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"eos_token_id": 0,
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"initializer_range": 0.02,
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"layer_norm_epsilon": 1e-05,
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"model_type": "gpt2",
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"n_ctx": 512,
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"n_embd": 1600,
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"n_head": 25,
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"n_inner": null,
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"n_layer": 48,
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"n_positions": 1024,
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"output_past": true,
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"reorder_and_upcast_attn": false,
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"resid_pdrop": 0.1,
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"scale_attn_by_inverse_layer_idx": false,
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"scale_attn_weights": true,
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"summary_activation": null,
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"summary_first_dropout": 0.1,
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"summary_proj_to_labels": true,
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"summary_type": "cls_index",
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"summary_use_proj": true,
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"task_specific_params": {
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"text-generation": {
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"do_sample": true,
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"max_length": 50
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}
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},
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"transformers_version": "4.41.2",
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"use_cache": true,
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"vocab_size": 50257
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}
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generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 0,
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"eos_token_id": 0,
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"transformers_version": "4.41.2"
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}
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merges.txt
ADDED
The diff for this file is too large to render.
See raw diff
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openvino_detokenizer.bin
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:1265534c76194e3a5137fddf55dc430b1bf67e7a414ba902e44b8011d038027e
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size 663314
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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_201596" 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_201596">
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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_201612" 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_201578" type="Const" version="opset1">
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<data element_type="u8" shape="663265" offset="0" size="663265" />
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<output>
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<port id="0" precision="U8">
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<dim>663265</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_201579" 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>663265</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_201597" type="VocabDecoder" version="extension">
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<data skip_tokens="" />
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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_201598" 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="Constant_201600" type="Const" version="opset1">
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<data element_type="u8" shape="47" offset="663265" size="47" />
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<output>
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<port id="0" precision="U8">
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<dim>47</dim>
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</port>
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</output>
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</layer>
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<layer id="7" name="Constant_201602" type="Const" version="opset1">
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<data element_type="u8" shape="2" offset="663312" size="2" />
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<output>
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<port id="0" precision="U8">
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<dim>2</dim>
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</port>
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</output>
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</layer>
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<layer id="8" name="RegexNormalization_201603" type="RegexNormalization" version="extension">
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<data global_replace="true" />
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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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<port id="3" precision="U8">
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<dim>47</dim>
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</port>
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<port id="4" precision="U8">
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<dim>2</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="9" name="StringTensorPack_201604" 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="10" name="Result_201605" 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="8" to-layer="5" to-port="4" />
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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="6" to-layer="5" to-port="2" />
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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="4" to-layer="5" to-port="0" />
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<edge from-layer="5" from-port="5" to-layer="8" to-port="0" />
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<edge from-layer="5" from-port="6" to-layer="8" to-port="1" />
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<edge from-layer="5" from-port="7" to-layer="8" to-port="2" />
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<edge from-layer="6" from-port="0" to-layer="8" to-port="3" />
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<edge from-layer="7" from-port="0" to-layer="8" to-port="4" />
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<edge from-layer="8" from-port="5" to-layer="9" to-port="0" />
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<edge from-layer="8" from-port="6" to-layer="9" to-port="1" />
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<edge from-layer="8" from-port="7" to-layer="9" to-port="2" />
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<edge from-layer="9" from-port="3" to-layer="10" to-port="0" />
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</edges>
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<rt_info>
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<eos_token_id value="0" />
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</rt_info>
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</net>
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openvino_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:f4a982be24aff69a5e3298907d0c13ac284814f86c7df0d08ce09ca6fa956859
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size 1563892427
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openvino_model.xml
ADDED
The diff for this file is too large to render.
See raw diff
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openvino_tokenizer.bin
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:729a3c6a34c06f570185286106da5e4edc71f284ed0e19711e01bd8e62b826d0
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size 1375159
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openvino_tokenizer.xml
ADDED
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1 |
+
<?xml version="1.0"?>
|
2 |
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3 |
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4 |
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5 |
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10 |
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11 |
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12 |
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13 |
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14 |
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15 |
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16 |
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17 |
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18 |
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19 |
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20 |
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21 |
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22 |
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23 |
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24 |
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25 |
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26 |
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27 |
+
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28 |
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29 |
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30 |
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31 |
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32 |
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33 |
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34 |
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35 |
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36 |
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37 |
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38 |
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39 |
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40 |
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41 |
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42 |
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43 |
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44 |
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45 |
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46 |
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47 |
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48 |
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49 |
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50 |
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51 |
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52 |
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53 |
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54 |
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55 |
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56 |
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57 |
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58 |
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59 |
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60 |
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61 |
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62 |
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63 |
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64 |
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66 |
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70 |
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71 |
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73 |
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74 |
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75 |
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76 |
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77 |
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78 |
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79 |
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80 |
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81 |
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82 |
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83 |
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84 |
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85 |
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86 |
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87 |
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88 |
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89 |
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90 |
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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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98 |
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99 |
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102 |
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103 |
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104 |
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105 |
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106 |
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107 |
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114 |
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115 |
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119 |
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120 |
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121 |
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122 |
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123 |
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124 |
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125 |
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126 |
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127 |
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128 |
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129 |
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131 |
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132 |
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133 |
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134 |
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135 |
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136 |
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137 |
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140 |
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142 |
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143 |
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144 |
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146 |
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147 |
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148 |
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150 |
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151 |
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156 |
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157 |
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158 |
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159 |
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161 |
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162 |
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163 |
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164 |
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165 |
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166 |
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167 |
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169 |
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170 |
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176 |
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179 |
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182 |
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183 |
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184 |
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185 |
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186 |
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187 |
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189 |
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192 |
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195 |
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201 |
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202 |
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203 |
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204 |
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205 |
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206 |
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207 |
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208 |
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209 |
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212 |
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214 |
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215 |
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216 |
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217 |
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218 |
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219 |
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220 |
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226 |
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227 |
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228 |
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|
248 |
+
<output>
|
249 |
+
<port id="0" precision="U8">
|
250 |
+
<dim>711806</dim>
|
251 |
+
</port>
|
252 |
+
</output>
|
253 |
+
</layer>
|
254 |
+
<layer id="20" name="StringTensorUnpack_201582" type="StringTensorUnpack" version="extension">
|
255 |
+
<data mode="begins_ends" />
|
256 |
+
<input>
|
257 |
+
<port id="0" precision="U8">
|
258 |
+
<dim>711806</dim>
|
259 |
+
</port>
|
260 |
+
</input>
|
261 |
+
<output>
|
262 |
+
<port id="1" precision="I32">
|
263 |
+
<dim>-1</dim>
|
264 |
+
</port>
|
265 |
+
<port id="2" precision="I32">
|
266 |
+
<dim>-1</dim>
|
267 |
+
</port>
|
268 |
+
<port id="3" precision="U8">
|
269 |
+
<dim>-1</dim>
|
270 |
+
</port>
|
271 |
+
</output>
|
272 |
+
</layer>
|
273 |
+
<layer id="21" name="BPETokenizer_201583" type="BPETokenizer" version="extension">
|
274 |
+
<data unk_token="" fuse_unk="false" suffix_indicator="" end_suffix="" byte_fallback="false" />
|
275 |
+
<input>
|
276 |
+
<port id="0" precision="I32">
|
277 |
+
<dim>-1</dim>
|
278 |
+
</port>
|
279 |
+
<port id="1" precision="I32">
|
280 |
+
<dim>-1</dim>
|
281 |
+
</port>
|
282 |
+
<port id="2" precision="I32">
|
283 |
+
<dim>-1</dim>
|
284 |
+
</port>
|
285 |
+
<port id="3" precision="I32">
|
286 |
+
<dim>-1</dim>
|
287 |
+
</port>
|
288 |
+
<port id="4" precision="U8">
|
289 |
+
<dim>-1</dim>
|
290 |
+
</port>
|
291 |
+
<port id="5" precision="I32">
|
292 |
+
<dim>-1</dim>
|
293 |
+
</port>
|
294 |
+
<port id="6" precision="I32">
|
295 |
+
<dim>-1</dim>
|
296 |
+
</port>
|
297 |
+
<port id="7" precision="U8">
|
298 |
+
<dim>-1</dim>
|
299 |
+
</port>
|
300 |
+
<port id="8" precision="I32">
|
301 |
+
<dim>-1</dim>
|
302 |
+
</port>
|
303 |
+
<port id="9" precision="I32">
|
304 |
+
<dim>-1</dim>
|
305 |
+
</port>
|
306 |
+
<port id="10" precision="U8">
|
307 |
+
<dim>-1</dim>
|
308 |
+
</port>
|
309 |
+
</input>
|
310 |
+
<output>
|
311 |
+
<port id="11" precision="I32">
|
312 |
+
<dim>-1</dim>
|
313 |
+
</port>
|
314 |
+
<port id="12" precision="I32">
|
315 |
+
<dim>-1</dim>
|
316 |
+
</port>
|
317 |
+
<port id="13" precision="I32">
|
318 |
+
<dim>-1</dim>
|
319 |
+
</port>
|
320 |
+
</output>
|
321 |
+
</layer>
|
322 |
+
<layer id="22" name="Subtract_201584" type="Subtract" version="opset1">
|
323 |
+
<data auto_broadcast="numpy" />
|
324 |
+
<input>
|
325 |
+
<port id="0" precision="I32">
|
326 |
+
<dim>-1</dim>
|
327 |
+
</port>
|
328 |
+
<port id="1" precision="I32">
|
329 |
+
<dim>-1</dim>
|
330 |
+
</port>
|
331 |
+
</input>
|
332 |
+
<output>
|
333 |
+
<port id="2" precision="I32">
|
334 |
+
<dim>-1</dim>
|
335 |
+
</port>
|
336 |
+
</output>
|
337 |
+
</layer>
|
338 |
+
<layer id="23" name="Constant_201585" type="Const" version="opset1">
|
339 |
+
<data element_type="i32" shape="" offset="1375151" size="4" />
|
340 |
+
<output>
|
341 |
+
<port id="0" precision="I32" />
|
342 |
+
</output>
|
343 |
+
</layer>
|
344 |
+
<layer id="24" name="Minimum_201586" type="Minimum" version="opset1">
|
345 |
+
<data auto_broadcast="numpy" />
|
346 |
+
<input>
|
347 |
+
<port id="0" precision="I32">
|
348 |
+
<dim>-1</dim>
|
349 |
+
</port>
|
350 |
+
<port id="1" precision="I32" />
|
351 |
+
</input>
|
352 |
+
<output>
|
353 |
+
<port id="2" precision="I32">
|
354 |
+
<dim>-1</dim>
|
355 |
+
</port>
|
356 |
+
</output>
|
357 |
+
</layer>
|
358 |
+
<layer id="25" name="Add_201587" type="Add" version="opset1">
|
359 |
+
<data auto_broadcast="numpy" />
|
360 |
+
<input>
|
361 |
+
<port id="0" precision="I32">
|
362 |
+
<dim>-1</dim>
|
363 |
+
</port>
|
364 |
+
<port id="1" precision="I32">
|
365 |
+
<dim>-1</dim>
|
366 |
+
</port>
|
367 |
+
</input>
|
368 |
+
<output>
|
369 |
+
<port id="2" precision="I32">
|
370 |
+
<dim>-1</dim>
|
371 |
+
</port>
|
372 |
+
</output>
|
373 |
+
</layer>
|
374 |
+
<layer id="26" name="Subtract_201588" type="Subtract" version="opset1">
|
375 |
+
<data auto_broadcast="numpy" />
|
376 |
+
<input>
|
377 |
+
<port id="0" precision="I32">
|
378 |
+
<dim>-1</dim>
|
379 |
+
</port>
|
380 |
+
<port id="1" precision="I32">
|
381 |
+
<dim>-1</dim>
|
382 |
+
</port>
|
383 |
+
</input>
|
384 |
+
<output>
|
385 |
+
<port id="2" precision="I32">
|
386 |
+
<dim>-1</dim>
|
387 |
+
</port>
|
388 |
+
</output>
|
389 |
+
</layer>
|
390 |
+
<layer id="27" name="Constant_201589" type="Const" version="opset1">
|
391 |
+
<data element_type="i32" shape="" offset="1375155" size="4" />
|
392 |
+
<output>
|
393 |
+
<port id="0" precision="I32" />
|
394 |
+
</output>
|
395 |
+
</layer>
|
396 |
+
<layer id="28" name="ReduceMax_201590" type="ReduceMax" version="opset1">
|
397 |
+
<data keep_dims="false" />
|
398 |
+
<input>
|
399 |
+
<port id="0" precision="I32">
|
400 |
+
<dim>-1</dim>
|
401 |
+
</port>
|
402 |
+
<port id="1" precision="I32" />
|
403 |
+
</input>
|
404 |
+
<output>
|
405 |
+
<port id="2" precision="I32" />
|
406 |
+
</output>
|
407 |
+
</layer>
|
408 |
+
<layer id="29" name="Constant_201591" type="Const" version="opset1">
|
409 |
+
<data element_type="i32" shape="" offset="1375155" size="4" />
|
410 |
+
<output>
|
411 |
+
<port id="0" precision="I32" />
|
412 |
+
</output>
|
413 |
+
</layer>
|
414 |
+
<layer id="30" name="RaggedToDense_201592" type="RaggedToDense" version="extension">
|
415 |
+
<input>
|
416 |
+
<port id="0" precision="I32">
|
417 |
+
<dim>-1</dim>
|
418 |
+
</port>
|
419 |
+
<port id="1" precision="I32">
|
420 |
+
<dim>-1</dim>
|
421 |
+
</port>
|
422 |
+
<port id="2" precision="I32">
|
423 |
+
<dim>-1</dim>
|
424 |
+
</port>
|
425 |
+
<port id="3" precision="I32" />
|
426 |
+
<port id="4" precision="I32" />
|
427 |
+
</input>
|
428 |
+
<output>
|
429 |
+
<port id="5" precision="I32">
|
430 |
+
<dim>-1</dim>
|
431 |
+
<dim>-1</dim>
|
432 |
+
</port>
|
433 |
+
<port id="6" precision="BOOL">
|
434 |
+
<dim>-1</dim>
|
435 |
+
<dim>-1</dim>
|
436 |
+
</port>
|
437 |
+
</output>
|
438 |
+
</layer>
|
439 |
+
<layer id="31" name="Convert_201593" type="Convert" version="opset1">
|
440 |
+
<data destination_type="i32" />
|
441 |
+
<input>
|
442 |
+
<port id="0" precision="BOOL">
|
443 |
+
<dim>-1</dim>
|
444 |
+
<dim>-1</dim>
|
445 |
+
</port>
|
446 |
+
</input>
|
447 |
+
<output>
|
448 |
+
<port id="1" precision="I32">
|
449 |
+
<dim>-1</dim>
|
450 |
+
<dim>-1</dim>
|
451 |
+
</port>
|
452 |
+
</output>
|
453 |
+
</layer>
|
454 |
+
<layer id="32" name="Convert_201593" type="Convert" version="opset1">
|
455 |
+
<data destination_type="i64" />
|
456 |
+
<input>
|
457 |
+
<port id="0" precision="I32">
|
458 |
+
<dim>-1</dim>
|
459 |
+
<dim>-1</dim>
|
460 |
+
</port>
|
461 |
+
</input>
|
462 |
+
<output>
|
463 |
+
<port id="1" precision="I64" names="attention_mask">
|
464 |
+
<dim>-1</dim>
|
465 |
+
<dim>-1</dim>
|
466 |
+
</port>
|
467 |
+
</output>
|
468 |
+
</layer>
|
469 |
+
<layer id="34" name="RaggedToDense_201592.0" type="Convert" version="opset1">
|
470 |
+
<data destination_type="i64" />
|
471 |
+
<input>
|
472 |
+
<port id="0" precision="I32">
|
473 |
+
<dim>-1</dim>
|
474 |
+
<dim>-1</dim>
|
475 |
+
</port>
|
476 |
+
</input>
|
477 |
+
<output>
|
478 |
+
<port id="1" precision="I64" names="input_ids">
|
479 |
+
<dim>-1</dim>
|
480 |
+
<dim>-1</dim>
|
481 |
+
</port>
|
482 |
+
</output>
|
483 |
+
</layer>
|
484 |
+
<layer id="35" name="Result_201594" type="Result" version="opset1">
|
485 |
+
<input>
|
486 |
+
<port id="0" precision="I64">
|
487 |
+
<dim>-1</dim>
|
488 |
+
<dim>-1</dim>
|
489 |
+
</port>
|
490 |
+
</input>
|
491 |
+
</layer>
|
492 |
+
<layer id="33" name="Result_201595" type="Result" version="opset1">
|
493 |
+
<input>
|
494 |
+
<port id="0" precision="I64">
|
495 |
+
<dim>-1</dim>
|
496 |
+
<dim>-1</dim>
|
497 |
+
</port>
|
498 |
+
</input>
|
499 |
+
</layer>
|
500 |
+
</layers>
|
501 |
+
<edges>
|
502 |
+
<edge from-layer="0" from-port="0" to-layer="2" to-port="0" />
|
503 |
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<edge from-layer="1" from-port="0" to-layer="8" to-port="0" />
|
504 |
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<edge from-layer="2" from-port="1" to-layer="3" to-port="0" />
|
505 |
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<edge from-layer="2" from-port="3" to-layer="15" to-port="4" />
|
506 |
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<edge from-layer="2" from-port="2" to-layer="15" to-port="3" />
|
507 |
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<edge from-layer="2" from-port="1" to-layer="15" to-port="2" />
|
508 |
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<edge from-layer="3" from-port="1" to-layer="6" to-port="0" />
|
509 |
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<edge from-layer="4" from-port="0" to-layer="6" to-port="1" />
|
510 |
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<edge from-layer="5" from-port="0" to-layer="6" to-port="2" />
|
511 |
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<edge from-layer="6" from-port="3" to-layer="8" to-port="1" />
|
512 |
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<edge from-layer="6" from-port="3" to-layer="11" to-port="0" />
|
513 |
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<edge from-layer="7" from-port="0" to-layer="8" to-port="2" />
|
514 |
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<edge from-layer="8" from-port="3" to-layer="15" to-port="0" />
|
515 |
+
<edge from-layer="9" from-port="0" to-layer="13" to-port="0" />
|
516 |
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<edge from-layer="10" from-port="0" to-layer="11" to-port="1" />
|
517 |
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<edge from-layer="11" from-port="2" to-layer="13" to-port="1" />
|
518 |
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<edge from-layer="12" from-port="0" to-layer="13" to-port="2" />
|
519 |
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<edge from-layer="13" from-port="3" to-layer="15" to-port="1" />
|
520 |
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<edge from-layer="14" from-port="0" to-layer="15" to-port="5" />
|
521 |
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<edge from-layer="15" from-port="6" to-layer="16" to-port="0" />
|
522 |
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<edge from-layer="15" from-port="7" to-layer="16" to-port="1" />
|
523 |
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<edge from-layer="15" from-port="8" to-layer="16" to-port="2" />
|
524 |
+
<edge from-layer="15" from-port="9" to-layer="16" to-port="3" />
|
525 |
+
<edge from-layer="15" from-port="10" to-layer="16" to-port="4" />
|
526 |
+
<edge from-layer="16" from-port="9" to-layer="21" to-port="4" />
|
527 |
+
<edge from-layer="16" from-port="8" to-layer="21" to-port="3" />
|
528 |
+
<edge from-layer="16" from-port="7" to-layer="21" to-port="2" />
|
529 |
+
<edge from-layer="16" from-port="5" to-layer="21" to-port="0" />
|
530 |
+
<edge from-layer="16" from-port="6" to-layer="21" to-port="1" />
|
531 |
+
<edge from-layer="17" from-port="0" to-layer="18" to-port="0" />
|
532 |
+
<edge from-layer="18" from-port="1" to-layer="21" to-port="5" />
|
533 |
+
<edge from-layer="18" from-port="2" to-layer="21" to-port="6" />
|
534 |
+
<edge from-layer="18" from-port="3" to-layer="21" to-port="7" />
|
535 |
+
<edge from-layer="19" from-port="0" to-layer="20" to-port="0" />
|
536 |
+
<edge from-layer="20" from-port="3" to-layer="21" to-port="10" />
|
537 |
+
<edge from-layer="20" from-port="2" to-layer="21" to-port="9" />
|
538 |
+
<edge from-layer="20" from-port="1" to-layer="21" to-port="8" />
|
539 |
+
<edge from-layer="21" from-port="12" to-layer="22" to-port="0" />
|
540 |
+
<edge from-layer="21" from-port="11" to-layer="22" to-port="1" />
|
541 |
+
<edge from-layer="21" from-port="11" to-layer="25" to-port="0" />
|
542 |
+
<edge from-layer="21" from-port="13" to-layer="30" to-port="2" />
|
543 |
+
<edge from-layer="21" from-port="11" to-layer="26" to-port="1" />
|
544 |
+
<edge from-layer="21" from-port="11" to-layer="30" to-port="0" />
|
545 |
+
<edge from-layer="22" from-port="2" to-layer="24" to-port="0" />
|
546 |
+
<edge from-layer="23" from-port="0" to-layer="24" to-port="1" />
|
547 |
+
<edge from-layer="24" from-port="2" to-layer="25" to-port="1" />
|
548 |
+
<edge from-layer="25" from-port="2" to-layer="30" to-port="1" />
|
549 |
+
<edge from-layer="25" from-port="2" to-layer="26" to-port="0" />
|
550 |
+
<edge from-layer="26" from-port="2" to-layer="28" to-port="0" />
|
551 |
+
<edge from-layer="27" from-port="0" to-layer="28" to-port="1" />
|
552 |
+
<edge from-layer="28" from-port="2" to-layer="30" to-port="3" />
|
553 |
+
<edge from-layer="29" from-port="0" to-layer="30" to-port="4" />
|
554 |
+
<edge from-layer="30" from-port="6" to-layer="31" to-port="0" />
|
555 |
+
<edge from-layer="30" from-port="5" to-layer="34" to-port="0" />
|
556 |
+
<edge from-layer="31" from-port="1" to-layer="32" to-port="0" />
|
557 |
+
<edge from-layer="32" from-port="1" to-layer="33" to-port="0" />
|
558 |
+
<edge from-layer="34" from-port="1" to-layer="35" to-port="0" />
|
559 |
+
</edges>
|
560 |
+
<rt_info>
|
561 |
+
<eos_token_id value="0" />
|
562 |
+
</rt_info>
|
563 |
+
</net>
|
special_tokens_map.json
ADDED
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"bos_token": {
|
3 |
+
"content": "<|endoftext|>",
|
4 |
+
"lstrip": false,
|
5 |
+
"normalized": true,
|
6 |
+
"rstrip": false,
|
7 |
+
"single_word": false
|
8 |
+
},
|
9 |
+
"eos_token": {
|
10 |
+
"content": "<|endoftext|>",
|
11 |
+
"lstrip": false,
|
12 |
+
"normalized": true,
|
13 |
+
"rstrip": false,
|
14 |
+
"single_word": false
|
15 |
+
},
|
16 |
+
"unk_token": {
|
17 |
+
"content": "<|endoftext|>",
|
18 |
+
"lstrip": false,
|
19 |
+
"normalized": true,
|
20 |
+
"rstrip": false,
|
21 |
+
"single_word": false
|
22 |
+
}
|
23 |
+
}
|
tokenizer.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
tokenizer_config.json
ADDED
@@ -0,0 +1,19 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"add_prefix_space": false,
|
3 |
+
"added_tokens_decoder": {
|
4 |
+
"0": {
|
5 |
+
"content": "<|endoftext|>",
|
6 |
+
"lstrip": false,
|
7 |
+
"normalized": true,
|
8 |
+
"rstrip": false,
|
9 |
+
"single_word": false,
|
10 |
+
"special": true
|
11 |
+
}
|
12 |
+
},
|
13 |
+
"bos_token": "<|endoftext|>",
|
14 |
+
"clean_up_tokenization_spaces": true,
|
15 |
+
"eos_token": "<|endoftext|>",
|
16 |
+
"model_max_length": 512,
|
17 |
+
"tokenizer_class": "GPT2Tokenizer",
|
18 |
+
"unk_token": "<|endoftext|>"
|
19 |
+
}
|
vocab.json
ADDED
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|
|