{
  "adapter_config": {
    "alora_invocation_tokens": null,
    "alpha_pattern": {},
    "arrow_config": null,
    "auto_mapping": null,
    "base_model_name_or_path": "/kaggle/input/models/metaresearch/llama-3.2/transformers/3b-instruct/1",
    "bias": "none",
    "corda_config": null,
    "ensure_weight_tying": false,
    "eva_config": null,
    "exclude_modules": null,
    "fan_in_fan_out": false,
    "inference_mode": true,
    "init_lora_weights": true,
    "kasa_config": null,
    "layer_replication": null,
    "layers_pattern": null,
    "layers_to_transform": null,
    "loftq_config": {},
    "lora_alpha": 16,
    "lora_bias": false,
    "lora_dropout": 0.05,
    "lora_ga_config": null,
    "megatron_config": null,
    "megatron_core": "megatron.core",
    "modules_to_save": null,
    "monteclora_config": null,
    "peft_type": "LORA",
    "peft_version": "0.21.2",
    "qalora_group_size": 16,
    "r": 16,
    "rank_pattern": {},
    "revision": null,
    "target_modules": [
      "q_proj",
      "down_proj",
      "k_proj",
      "v_proj",
      "gate_proj",
      "up_proj",
      "o_proj"
    ],
    "target_parameters": null,
    "task_type": "CAUSAL_LM",
    "trainable_token_indices": null,
    "use_bdlora": null,
    "use_dora": false,
    "use_qalora": false,
    "use_rslora": false,
    "velora_config": null
  },
  "adapter_key": "merged_ties_1600",
  "density": 0.5,
  "files": {
    "adapter_config.json": {
      "bytes": 1226,
      "sha256": "783f9c6c73dec3953fefbd0ea5b03b41a95d217a546c3b4dcaf2405232c024bc"
    },
    "adapter_model.safetensors": {
      "bytes": 97307544,
      "sha256": "b818293142c5a93e65e71ec9ea263404140a9684adc1f87cc6d6f021616a3baa"
    }
  },
  "kind": "peft_ties_merge",
  "persisted_in_working": true,
  "public_name": "lora.merged-ties-1600",
  "role": "merged_all",
  "saved_dir": "/kaggle/working/adapters/merged_ties_1600",
  "scale": 1600,
  "source_adapters": [
    "decomposer_1600",
    "retriever_1600",
    "builder_1600",
    "verifier_1600"
  ],
  "weights": [
    0.25,
    0.25,
    0.25,
    0.25
  ]
}
