adapter_config.json

{
  "alpha_pattern": {},
  "auto_mapping": null,
  "base_model_name_or_path": "jbochi/madlad400-3b-mt",
  "bias": "none",
  "fan_in_fan_out": false,
  "inference_mode": true,
  "init_lora_weights": true,
  "layer_replication": null,
  "layers_pattern": null,
  "layers_to_transform": null,
  "loftq_config": {},
  "lora_alpha": 128,
  "lora_dropout": 0.1,
  "megatron_config": null,
  "megatron_core": "megatron.core",
  "modules_to_save": [
    "shared",
    "embed_tokens",
    "lm_head",
    "encoder.block.0.layer.0.layer_norm",
    "encoder.block.0.layer.1.layer_norm",
    "encoder.block.1.layer.0.layer_norm",
    "encoder.block.1.layer.1.layer_norm",
    "encoder.block.2.layer.0.layer_norm",
    "encoder.block.2.layer.1.layer_norm",
    "encoder.block.3.layer.0.layer_norm",
    "encoder.block.3.layer.1.layer_norm",
    "encoder.block.4.layer.0.layer_norm",
    "encoder.block.4.layer.1.layer_norm",
    "encoder.block.5.layer.0.layer_norm",
    "encoder.block.5.layer.1.layer_norm",
    "encoder.block.6.layer.0.layer_norm",
    "encoder.block.6.layer.1.layer_norm",
    "encoder.block.7.layer.0.layer_norm",
    "encoder.block.7.layer.1.layer_norm",
    "encoder.block.8.layer.0.layer_norm",
    "encoder.block.8.layer.1.layer_norm",
    "encoder.block.9.layer.0.layer_norm",
    "encoder.block.9.layer.1.layer_norm",
    "encoder.block.10.layer.0.layer_norm",
    "encoder.block.10.layer.1.layer_norm",
    "encoder.block.11.layer.0.layer_norm",
    "encoder.block.11.layer.1.layer_norm",
    "encoder.block.12.layer.0.layer_norm",
    "encoder.block.12.layer.1.layer_norm",
    "encoder.block.13.layer.0.layer_norm",
    "encoder.block.13.layer.1.layer_norm",
    "encoder.block.14.layer.0.layer_norm",
    "encoder.block.14.layer.1.layer_norm",
    "encoder.block.15.layer.0.layer_norm",
    "encoder.block.15.layer.1.layer_norm",
    "encoder.block.16.layer.0.layer_norm",
    "encoder.block.16.layer.1.layer_norm",
    "encoder.block.17.layer.0.layer_norm",
    "encoder.block.17.layer.1.layer_norm",
    "encoder.block.18.layer.0.layer_norm",
    "encoder.block.18.layer.1.layer_norm",
    "encoder.block.19.layer.0.layer_norm",
    "encoder.block.19.layer.1.layer_norm",
    "encoder.block.20.layer.0.layer_norm",
    "encoder.block.20.layer.1.layer_norm",
    "encoder.block.21.layer.0.layer_norm",
    "encoder.block.21.layer.1.layer_norm",
    "encoder.block.22.layer.0.layer_norm",
    "encoder.block.22.layer.1.layer_norm",
    "encoder.block.23.layer.0.layer_norm",
    "encoder.block.23.layer.1.layer_norm",
    "encoder.block.24.layer.0.layer_norm",
    "encoder.block.24.layer.1.layer_norm",
    "encoder.block.25.layer.0.layer_norm",
    "encoder.block.25.layer.1.layer_norm",
    "encoder.block.26.layer.0.layer_norm",
    "encoder.block.26.layer.1.layer_norm",
    "encoder.block.27.layer.0.layer_norm",
    "encoder.block.27.layer.1.layer_norm",
    "encoder.block.28.layer.0.layer_norm",
    "encoder.block.28.layer.1.layer_norm",
    "encoder.block.29.layer.0.layer_norm",
    "encoder.block.29.layer.1.layer_norm",
    "encoder.block.30.layer.0.layer_norm",
    "encoder.block.30.layer.1.layer_norm",
    "encoder.block.31.layer.0.layer_norm",
    "encoder.block.31.layer.1.layer_norm",
    "decoder.block.0.layer.0.layer_norm",
    "decoder.block.0.layer.1.layer_norm",
    "decoder.block.1.layer.0.layer_norm",
    "decoder.block.1.layer.1.layer_norm",
    "decoder.block.2.layer.0.layer_norm",
    "decoder.block.2.layer.1.layer_norm",
    "decoder.block.3.layer.0.layer_norm",
    "decoder.block.3.layer.1.layer_norm",
    "decoder.block.4.layer.0.layer_norm",
    "decoder.block.4.layer.1.layer_norm",
    "decoder.block.5.layer.0.layer_norm",
    "decoder.block.5.layer.1.layer_norm",
    "decoder.block.6.layer.0.layer_norm",
    "decoder.block.6.layer.1.layer_norm",
    "decoder.block.7.layer.0.layer_norm",
    "decoder.block.7.layer.1.layer_norm",
    "decoder.block.8.layer.0.layer_norm",
    "decoder.block.8.layer.1.layer_norm",
    "decoder.block.9.layer.0.layer_norm",
    "decoder.block.9.layer.1.layer_norm",
    "decoder.block.10.layer.0.layer_norm",
    "decoder.block.10.layer.1.layer_norm",
    "decoder.block.11.layer.0.layer_norm",
    "decoder.block.11.layer.1.layer_norm",
    "decoder.block.12.layer.0.layer_norm",
    "decoder.block.12.layer.1.layer_norm",
    "decoder.block.13.layer.0.layer_norm",
    "decoder.block.13.layer.1.layer_norm",
    "decoder.block.14.layer.0.layer_norm",
    "decoder.block.14.layer.1.layer_norm",
    "decoder.block.15.layer.0.layer_norm",
    "decoder.block.15.layer.1.layer_norm",
    "decoder.block.16.layer.0.layer_norm",
    "decoder.block.16.layer.1.layer_norm",
    "decoder.block.17.layer.0.layer_norm",
    "decoder.block.17.layer.1.layer_norm",
    "decoder.block.18.layer.0.layer_norm",
    "decoder.block.18.layer.1.layer_norm",
    "decoder.block.19.layer.0.layer_norm",
    "decoder.block.19.layer.1.layer_norm",
    "decoder.block.20.layer.0.layer_norm",
    "decoder.block.20.layer.1.layer_norm",
    "decoder.block.21.layer.0.layer_norm",
    "decoder.block.21.layer.1.layer_norm",
    "decoder.block.22.layer.0.layer_norm",
    "decoder.block.22.layer.1.layer_norm",
    "decoder.block.23.layer.0.layer_norm",
    "decoder.block.23.layer.1.layer_norm",
    "decoder.block.24.layer.0.layer_norm",
    "decoder.block.24.layer.1.layer_norm",
    "decoder.block.25.layer.0.layer_norm",
    "decoder.block.25.layer.1.layer_norm",
    "decoder.block.26.layer.0.layer_norm",
    "decoder.block.26.layer.1.layer_norm",
    "decoder.block.27.layer.0.layer_norm",
    "decoder.block.27.layer.1.layer_norm",
    "decoder.block.28.layer.0.layer_norm",
    "decoder.block.28.layer.1.layer_norm",
    "decoder.block.29.layer.0.layer_norm",
    "decoder.block.29.layer.1.layer_norm",
    "decoder.block.30.layer.0.layer_norm",
    "decoder.block.30.layer.1.layer_norm",
    "decoder.block.31.layer.0.layer_norm",
    "decoder.block.31.layer.1.layer_norm"
  ],
  "peft_type": "LORA",
  "r": 32,
  "rank_pattern": {},
  "revision": null,
  "target_modules": [
    "k",
    "v",
    "wo",
    "wi_1",
    "q",
    "o",
    "wi_0"
  ],
  "task_type": "SEQ_2_SEQ_LM",
  "use_dora": false,
  "use_rslora": false
}