| { | |
| "_name_or_path": "Shivam098/Translation", | |
| "_num_labels": 3, | |
| "activation_dropout": 0.0, | |
| "activation_function": "relu", | |
| "add_bias_logits": false, | |
| "add_final_layer_norm": true, | |
| "architectures": [ | |
| "MBartForConditionalGeneration" | |
| ], | |
| "attention_dropout": 0.0, | |
| "bos_token_id": 0, | |
| "classif_dropout": 0.0, | |
| "classifier_dropout": 0.0, | |
| "d_model": 1024, | |
| "decoder_attention_heads": 16, | |
| "decoder_ffn_dim": 4096, | |
| "decoder_layerdrop": 0.0, | |
| "decoder_layers": 12, | |
| "decoder_start_token_id": 2, | |
| "dropout": 0.1, | |
| "early_stopping": true, | |
| "encoder_attention_heads": 16, | |
| "encoder_ffn_dim": 4096, | |
| "encoder_layerdrop": 0.0, | |
| "encoder_layers": 12, | |
| "eos_token_id": 2, | |
| "forced_eos_token_id": 2, | |
| "gradient_checkpointing": false, | |
| "id2label": { | |
| "0": "LABEL_0", | |
| "1": "LABEL_1", | |
| "2": "LABEL_2" | |
| }, | |
| "init_std": 0.02, | |
| "is_encoder_decoder": true, | |
| "label2id": { | |
| "LABEL_0": 0, | |
| "LABEL_1": 1, | |
| "LABEL_2": 2 | |
| }, | |
| "max_length": 200, | |
| "max_position_embeddings": 1024, | |
| "model_type": "mbart", | |
| "normalize_before": true, | |
| "normalize_embedding": true, | |
| "num_beams": 5, | |
| "num_hidden_layers": 12, | |
| "output_past": true, | |
| "pad_token_id": 1, | |
| "quantization_config": { | |
| "batch_size": 1, | |
| "bits": 4, | |
| "block_name_to_quantize": "model.decoder.layers", | |
| "damp_percent": 0.1, | |
| "dataset": "c4", | |
| "desc_act": false, | |
| "disable_exllama": true, | |
| "group_size": 128, | |
| "model_seqlen": 1024, | |
| "module_name_preceding_first_block": [ | |
| "model.shared", | |
| "model.encoder.embed_tokens", | |
| "model.encoder.embed_positions", | |
| "model.encoder.layers.0.self_attn.k_proj", | |
| "model.encoder.layers.0.self_attn.v_proj", | |
| "model.encoder.layers.0.self_attn.q_proj", | |
| "model.encoder.layers.0.self_attn.out_proj", | |
| "model.encoder.layers.0.self_attn", | |
| "model.encoder.layers.0.self_attn_layer_norm", | |
| "model.encoder.layers.0.activation_fn", | |
| "model.encoder.layers.0.fc1", | |
| "model.encoder.layers.0.fc2", | |
| "model.encoder.layers.0.final_layer_norm", | |
| "model.encoder.layers.0", | |
| "model.encoder.layers.1.self_attn.k_proj", | |
| "model.encoder.layers.1.self_attn.v_proj", | |
| "model.encoder.layers.1.self_attn.q_proj", | |
| "model.encoder.layers.1.self_attn.out_proj", | |
| "model.encoder.layers.1.self_attn", | |
| "model.encoder.layers.1.self_attn_layer_norm", | |
| "model.encoder.layers.1.activation_fn", | |
| "model.encoder.layers.1.fc1", | |
| "model.encoder.layers.1.fc2", | |
| "model.encoder.layers.1.final_layer_norm", | |
| "model.encoder.layers.1", | |
| "model.encoder.layers.2.self_attn.k_proj", | |
| "model.encoder.layers.2.self_attn.v_proj", | |
| "model.encoder.layers.2.self_attn.q_proj", | |
| "model.encoder.layers.2.self_attn.out_proj", | |
| "model.encoder.layers.2.self_attn", | |
| "model.encoder.layers.2.self_attn_layer_norm", | |
| "model.encoder.layers.2.activation_fn", | |
| "model.encoder.layers.2.fc1", | |
| "model.encoder.layers.2.fc2", | |
| "model.encoder.layers.2.final_layer_norm", | |
| "model.encoder.layers.2", | |
| "model.encoder.layers.3.self_attn.k_proj", | |
| "model.encoder.layers.3.self_attn.v_proj", | |
| "model.encoder.layers.3.self_attn.q_proj", | |
| "model.encoder.layers.3.self_attn.out_proj", | |
| "model.encoder.layers.3.self_attn", | |
| "model.encoder.layers.3.self_attn_layer_norm", | |
| "model.encoder.layers.3.activation_fn", | |
| "model.encoder.layers.3.fc1", | |
| "model.encoder.layers.3.fc2", | |
| "model.encoder.layers.3.final_layer_norm", | |
| "model.encoder.layers.3", | |
| "model.encoder.layers.4.self_attn.k_proj", | |
| "model.encoder.layers.4.self_attn.v_proj", | |
| "model.encoder.layers.4.self_attn.q_proj", | |
| "model.encoder.layers.4.self_attn.out_proj", | |
| "model.encoder.layers.4.self_attn", | |
| "model.encoder.layers.4.self_attn_layer_norm", | |
| "model.encoder.layers.4.activation_fn", | |
| "model.encoder.layers.4.fc1", | |
| "model.encoder.layers.4.fc2", | |
| "model.encoder.layers.4.final_layer_norm", | |
| "model.encoder.layers.4", | |
| "model.encoder.layers.5.self_attn.k_proj", | |
| "model.encoder.layers.5.self_attn.v_proj", | |
| "model.encoder.layers.5.self_attn.q_proj", | |
| "model.encoder.layers.5.self_attn.out_proj", | |
| "model.encoder.layers.5.self_attn", | |
| "model.encoder.layers.5.self_attn_layer_norm", | |
| "model.encoder.layers.5.activation_fn", | |
| "model.encoder.layers.5.fc1", | |
| "model.encoder.layers.5.fc2", | |
| "model.encoder.layers.5.final_layer_norm", | |
| "model.encoder.layers.5", | |
| "model.encoder.layers.6.self_attn.k_proj", | |
| "model.encoder.layers.6.self_attn.v_proj", | |
| "model.encoder.layers.6.self_attn.q_proj", | |
| "model.encoder.layers.6.self_attn.out_proj", | |
| "model.encoder.layers.6.self_attn", | |
| "model.encoder.layers.6.self_attn_layer_norm", | |
| "model.encoder.layers.6.activation_fn", | |
| "model.encoder.layers.6.fc1", | |
| "model.encoder.layers.6.fc2", | |
| "model.encoder.layers.6.final_layer_norm", | |
| "model.encoder.layers.6", | |
| "model.encoder.layers.7.self_attn.k_proj", | |
| "model.encoder.layers.7.self_attn.v_proj", | |
| "model.encoder.layers.7.self_attn.q_proj", | |
| "model.encoder.layers.7.self_attn.out_proj", | |
| "model.encoder.layers.7.self_attn", | |
| "model.encoder.layers.7.self_attn_layer_norm", | |
| "model.encoder.layers.7.activation_fn", | |
| "model.encoder.layers.7.fc1", | |
| "model.encoder.layers.7.fc2", | |
| "model.encoder.layers.7.final_layer_norm", | |
| "model.encoder.layers.7", | |
| "model.encoder.layers.8.self_attn.k_proj", | |
| "model.encoder.layers.8.self_attn.v_proj", | |
| "model.encoder.layers.8.self_attn.q_proj", | |
| "model.encoder.layers.8.self_attn.out_proj", | |
| "model.encoder.layers.8.self_attn", | |
| "model.encoder.layers.8.self_attn_layer_norm", | |
| "model.encoder.layers.8.activation_fn", | |
| "model.encoder.layers.8.fc1", | |
| "model.encoder.layers.8.fc2", | |
| "model.encoder.layers.8.final_layer_norm", | |
| "model.encoder.layers.8", | |
| "model.encoder.layers.9.self_attn.k_proj", | |
| "model.encoder.layers.9.self_attn.v_proj", | |
| "model.encoder.layers.9.self_attn.q_proj", | |
| "model.encoder.layers.9.self_attn.out_proj", | |
| "model.encoder.layers.9.self_attn", | |
| "model.encoder.layers.9.self_attn_layer_norm", | |
| "model.encoder.layers.9.activation_fn", | |
| "model.encoder.layers.9.fc1", | |
| "model.encoder.layers.9.fc2", | |
| "model.encoder.layers.9.final_layer_norm", | |
| "model.encoder.layers.9", | |
| "model.encoder.layers.10.self_attn.k_proj", | |
| "model.encoder.layers.10.self_attn.v_proj", | |
| "model.encoder.layers.10.self_attn.q_proj", | |
| "model.encoder.layers.10.self_attn.out_proj", | |
| "model.encoder.layers.10.self_attn", | |
| "model.encoder.layers.10.self_attn_layer_norm", | |
| "model.encoder.layers.10.activation_fn", | |
| "model.encoder.layers.10.fc1", | |
| "model.encoder.layers.10.fc2", | |
| "model.encoder.layers.10.final_layer_norm", | |
| "model.encoder.layers.10", | |
| "model.encoder.layers.11.self_attn.k_proj", | |
| "model.encoder.layers.11.self_attn.v_proj", | |
| "model.encoder.layers.11.self_attn.q_proj", | |
| "model.encoder.layers.11.self_attn.out_proj", | |
| "model.encoder.layers.11.self_attn", | |
| "model.encoder.layers.11.self_attn_layer_norm", | |
| "model.encoder.layers.11.activation_fn", | |
| "model.encoder.layers.11.fc1", | |
| "model.encoder.layers.11.fc2", | |
| "model.encoder.layers.11.final_layer_norm", | |
| "model.encoder.layers.11", | |
| "model.encoder.layers", | |
| "model.encoder.layernorm_embedding", | |
| "model.encoder.layer_norm", | |
| "model.encoder", | |
| "model.decoder.embed_tokens", | |
| "model.decoder.embed_positions" | |
| ], | |
| "pad_token_id": null, | |
| "quant_method": "gptq", | |
| "sym": true, | |
| "tokenizer": null, | |
| "true_sequential": true, | |
| "use_cuda_fp16": true | |
| }, | |
| "scale_embedding": true, | |
| "static_position_embeddings": false, | |
| "tokenizer_class": "MBart50Tokenizer", | |
| "torch_dtype": "float16", | |
| "transformers_version": "4.33.0.dev0", | |
| "use_cache": true, | |
| "vocab_size": 250054 | |
| } | |