mavis-ai/Multilingual-e5-large-Q8
038
1{2 "return_dict": true,3 "output_hidden_states": false,4 "output_attentions": false,5 "torchscript": false,6 "torch_dtype": "float32",7 "use_bfloat16": false,8 "tf_legacy_loss": false,9 "pruned_heads": {},10 "tie_word_embeddings": true,11 "is_encoder_decoder": false,12 "is_decoder": false,13 "cross_attention_hidden_size": null,14 "add_cross_attention": false,15 "tie_encoder_decoder": false,16 "max_length": 20,17 "min_length": 0,18 "do_sample": false,19 "early_stopping": false,20 "num_beams": 1,21 "num_beam_groups": 1,22 "diversity_penalty": 0.0,23 "temperature": 1.0,24 "top_k": 50,25 "top_p": 1.0,26 "typical_p": 1.0,27 "repetition_penalty": 1.0,28 "length_penalty": 1.0,29 "no_repeat_ngram_size": 0,30 "encoder_no_repeat_ngram_size": 0,31 "bad_words_ids": null,32 "num_return_sequences": 1,33 "chunk_size_feed_forward": 0,34 "output_scores": false,35 "return_dict_in_generate": false,36 "forced_bos_token_id": null,37 "forced_eos_token_id": null,38 "remove_invalid_values": false,39 "exponential_decay_length_penalty": null,40 "suppress_tokens": null,41 "begin_suppress_tokens": null,42 "architectures": [43 "XLMRobertaModel"44 ],45 "finetuning_task": null,46 "id2label": {47 "0": "LABEL_0",48 "1": "LABEL_1"49 },50 "label2id": {51 "LABEL_0": 0,52 "LABEL_1": 153 },54 "tokenizer_class": null,55 "prefix": null,56 "bos_token_id": 0,57 "pad_token_id": 1,58 "eos_token_id": 2,59 "sep_token_id": null,60 "decoder_start_token_id": null,61 "task_specific_params": null,62 "problem_type": null,63 "_name_or_path": "/Users/katopz/.cache/huggingface/hub/models--intfloat--multilingual-e5-large/snapshots/9f78368af0062735ba99812349c562316e29f719",64 "transformers_version": "4.36.2",65 "model_type": "xlm-roberta",66 "output_past": true,67 "vocab_size": 250002,68 "hidden_size": 1024,69 "num_hidden_layers": 24,70 "num_attention_heads": 16,71 "hidden_act": "gelu",72 "intermediate_size": 4096,73 "hidden_dropout_prob": 0.1,74 "attention_probs_dropout_prob": 0.1,75 "max_position_embeddings": 514,76 "type_vocab_size": 1,77 "initializer_range": 0.02,78 "layer_norm_eps": 1e-05,79 "position_embedding_type": "absolute",80 "use_cache": true,81 "classifier_dropout": null,82 "revis_quantization": {83 "format": "revis-xlm-roberta-e5-mlx-native-q8",84 "bits": 8,85 "group_size": 64,86 "mode": "affine",87 "type": "mlx-native-affine",88 "manifest": "quantization.json"89 }90}91 