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NQ_JetMoE_rank_lstm_updated

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NQ_JetMoE_rank_lstm_updated
File size: 2,610 Bytes 
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{
  "alpha_pattern": {},
  "auto_mapping": null,
  "base_model_name_or_path": "rank_lstm_full_trained_depth3_n2",
  "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": 16,
  "lora_dropout": 0.05,
  "megatron_config": null,
  "megatron_core": "megatron.core",
  "modules_to_save": null,
  "peft_type": "LORA",
  "r": 8,
  "rank_pattern": {},
  "revision": null,
  "target_modules": [
    "model.layers.1.mlp.router.layer",
    "model.layers.21.self_attention.experts.router.layer",
    "model.layers.20.self_attention.experts.router.layer",
    "model.layers.12.self_attention.kv_proj",
    "model.layers.20.self_attention.kv_proj",
    "model.layers.15.self_attention.kv_proj",
    "model.layers.18.self_attention.kv_proj",
    "model.lstm_gates.0.transform",
    "model.lstm_gates.1.transform",
    "model.layers.6.self_attention.kv_proj",
    "model.layers.10.self_attention.kv_proj",
    "model.layers.7.self_attention.kv_proj",
    "model.lstm_gates.2.transform",
    "model.lstm_gates.0.input_gate",
    "model.layers.2.self_attention.kv_proj",
    "model.layers.20.mlp.router.layer",
    "model.layers.23.self_attention.kv_proj",
    "model.layers.19.mlp.router.layer",
    "model.layers.16.self_attention.kv_proj",
    "model.layers.4.self_attention.kv_proj",
    "model.layers.1.mlp.router.perturbation",
    "model.layers.19.self_attention.kv_proj",
    "model.lstm_gates.0.forget_gate",
    "model.layers.1.self_attention.experts.router.layer",
    "model.layers.21.mlp.router.layer",
    "model.layers.9.self_attention.kv_proj",
    "model.lstm_gates.1.input_gate",
    "model.layers.21.self_attention.kv_proj",
    "model.layers.22.self_attention.kv_proj",
    "model.lstm_gates.1.output_gate",
    "model.layers.5.self_attention.kv_proj",
    "model.layers.8.self_attention.kv_proj",
    "model.layers.17.self_attention.kv_proj",
    "model.layers.3.self_attention.kv_proj",
    "model.layers.11.self_attention.kv_proj",
    "model.lstm_gates.0.output_gate",
    "model.lstm_gates.2.forget_gate",
    "model.layers.0.self_attention.kv_proj",
    "model.lstm_gates.1.forget_gate",
    "model.layers.13.self_attention.kv_proj",
    "model.lstm_gates.2.output_gate",
    "model.layers.1.self_attention.kv_proj",
    "model.layers.19.self_attention.experts.router.layer",
    "model.layers.14.self_attention.kv_proj",
    "model.lstm_gates.2.input_gate"
  ],
  "task_type": "CAUSAL_LM",
  "use_dora": false,
  "use_rslora": false
}