importance-r2: KnoEng's vector importance scorer (gte-modernbert-base fine-tuned, round 3 labels)
Browse files- importance-r2/config.json +77 -0
- importance-r2/encoder.onnx +3 -0
- importance-r2/head.npz +3 -0
- importance-r2/knoeng-scorer.json +8 -0
- importance-r2/tokenizer.json +0 -0
- importance-r2/tokenizer_config.json +17 -0
importance-r2/config.json
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{
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"architectures": [
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"ModernBertModel"
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],
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"attention_bias": false,
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"attention_dropout": 0.0,
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"bos_token_id": 50281,
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"classifier_activation": "gelu",
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"classifier_bias": false,
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"classifier_dropout": 0.0,
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"classifier_pooling": "mean",
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"cls_token_id": 50281,
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"decoder_bias": true,
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"deterministic_flash_attn": false,
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"dtype": "float32",
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"embedding_dropout": 0.0,
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"eos_token_id": 50282,
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"global_attn_every_n_layers": 3,
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"gradient_checkpointing": false,
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"hidden_activation": "gelu",
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"hidden_size": 768,
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"initializer_cutoff_factor": 2.0,
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"initializer_range": 0.02,
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"intermediate_size": 1152,
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"layer_norm_eps": 1e-05,
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"layer_types": [
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"full_attention",
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"sliding_attention",
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"sliding_attention",
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"full_attention",
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"sliding_attention",
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"sliding_attention",
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"full_attention",
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"sliding_attention",
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"sliding_attention",
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"full_attention",
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"sliding_attention",
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"sliding_attention",
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"full_attention",
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"sliding_attention",
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"sliding_attention",
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"full_attention",
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"sliding_attention",
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"sliding_attention",
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"full_attention",
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"sliding_attention",
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"sliding_attention",
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"full_attention"
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],
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"local_attention": 128,
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"max_position_embeddings": 8192,
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"mlp_bias": false,
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"mlp_dropout": 0.0,
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"model_type": "modernbert",
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"norm_bias": false,
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"norm_eps": 1e-05,
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"num_attention_heads": 12,
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"num_hidden_layers": 22,
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"pad_token_id": 50283,
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"position_embedding_type": "absolute",
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"rope_parameters": {
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"full_attention": {
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"rope_theta": 160000.0,
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"rope_type": "default"
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},
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"sliding_attention": {
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"rope_theta": 10000.0,
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"rope_type": "default"
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}
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},
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"sep_token_id": 50282,
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"sparse_pred_ignore_index": -100,
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"sparse_prediction": false,
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"tie_word_embeddings": true,
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"transformers_version": "5.20.2",
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"vocab_size": 50368
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}
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importance-r2/encoder.onnx
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version https://git-lfs.github.com/spec/v1
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oid sha256:bf9e6b8bd8a887035c7716937e0d66423805b0e291c06dfe0be5e5f00099fd22
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size 596635685
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importance-r2/head.npz
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version https://git-lfs.github.com/spec/v1
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oid sha256:69d308dd7f4a50cbd51d952cbfdd11190a0da0891102b931039e4c214d882dfa
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size 7347618
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importance-r2/knoeng-scorer.json
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{
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"base": "Alibaba-NLP/gte-modernbert-base",
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"max_tokens": 1024,
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"width": 768,
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"output": "sigmoid of head(context vector, memory vector)",
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"sha256": "bf9e6b8bd8a887035c7716937e0d66423805b0e291c06dfe0be5e5f00099fd22",
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"sha256_head": "69d308dd7f4a50cbd51d952cbfdd11190a0da0891102b931039e4c214d882dfa"
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}
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importance-r2/tokenizer.json
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The diff for this file is too large to render.
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importance-r2/tokenizer_config.json
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{
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"backend": "tokenizers",
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"clean_up_tokenization_spaces": true,
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"cls_token": "[CLS]",
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"is_local": false,
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"local_files_only": false,
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"mask_token": "[MASK]",
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"model_input_names": [
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"input_ids",
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"attention_mask"
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],
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"model_max_length": 1000000000000000019884624838656,
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"pad_token": "[PAD]",
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"sep_token": "[SEP]",
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"tokenizer_class": "TokenizersBackend",
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"unk_token": "[UNK]"
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}
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