config.json

{
  "_name_or_path": "/content/drive/MyDrive/saved_weights/pytorch_model.bin",
  "architectures": [
    "BertModel"
  ],
  "attention_probs_dropout_prob": 0.1,
  "auto_mapping": null,
  "base_model_name_or_path": "meta-llama/Llama-2-7b-chat-hf",
  "bias": "none",
  "classifier_dropout": null,
  "fan_in_fan_out": false,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "inference_mode": true,
  "init_lora_weights": true,
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "layer_norm_eps": 1e-12,
  "layers_pattern": null,
  "layers_to_transform": null,
  "lora_alpha": 32,
  "lora_dropout": 0.05,
  "max_position_embeddings": 512,
  "model_type": "bert",
  "modules_to_save": null,
  "num_attention_heads": 12,
  "num_hidden_layers": 12,
  "pad_token_id": 0,
  "peft_type": "LORA",
  "position_embedding_type": "absolute",
  "r": 8,
  "revision": null,
  "target_modules": [
    "q_proj",
    "v_proj"
  ],
  "task_type": "CAUSAL_LM",
  "torch_dtype": "float32",
  "transformers_version": "4.31.0",
  "type_vocab_size": 2,
  "use_cache": true,
  "vocab_size": 30522
}