DPLM 650M
Browse files- config.json +30 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +7 -0
- tokenizer_config.json +52 -0
- vocab.txt +33 -0
config.json
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{
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"_name_or_path": "facebook/esm2_t33_650M_UR50D",
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"architectures": [
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"ESM_HF_FLASHATTN"
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],
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"attention_probs_dropout_prob": 0.0,
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"classifier_dropout": null,
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"emb_layer_norm_before": false,
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"esmfold_config": null,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 1280,
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"initializer_range": 0.02,
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"intermediate_size": 5120,
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"is_folding_model": false,
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"layer_norm_eps": 1e-05,
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"mask_token_id": 32,
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"max_position_embeddings": 1026,
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"model_type": "esm",
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"num_attention_heads": 20,
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"num_hidden_layers": 33,
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"pad_token_id": 1,
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"position_embedding_type": "rotary",
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"token_dropout": true,
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"torch_dtype": "float32",
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"transformers_version": "4.39.2",
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"use_cache": true,
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"vocab_list": null,
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"vocab_size": 33
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}
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:db4e54343a89e7600f41c3aacbc593db1b0caee82ec28cab25ff2ae090eba39c
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size 2609617722
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special_tokens_map.json
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{
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"cls_token": "<cls>",
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"eos_token": "<eos>",
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"mask_token": "<mask>",
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"pad_token": "<pad>",
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"unk_token": "<unk>"
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}
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tokenizer_config.json
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{
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"added_tokens_decoder": {
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"0": {
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"content": "<cls>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"1": {
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"content": "<pad>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"2": {
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"content": "<eos>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"3": {
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"content": "<unk>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"32": {
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"content": "<mask>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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}
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},
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"clean_up_tokenization_spaces": true,
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"cls_token": "<cls>",
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"eos_token": "<eos>",
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"mask_token": "<mask>",
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"model_max_length": 1000000000000000019884624838656,
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"pad_token": "<pad>",
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"tokenizer_class": "EsmTokenizer",
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"unk_token": "<unk>"
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}
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vocab.txt
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<cls>
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<pad>
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<eos>
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<unk>
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L
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-
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<null_1>
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<mask>
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