{
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    14,
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   "model.layers.18.self_attn.v_proj",
   "model.layers.18.self_attn.o_proj",
   "model.layers.19.self_attn.q_proj",
   "model.layers.19.self_attn.k_proj",
   "model.layers.19.self_attn.v_proj",
   "model.layers.19.self_attn.o_proj",
   "model.layers.20.self_attn.q_proj",
   "model.layers.20.self_attn.k_proj",
   "model.layers.20.self_attn.v_proj",
   "model.layers.20.self_attn.o_proj",
   "model.layers.30.self_attn.q_proj",
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   "model.layers.30.self_attn.v_proj",
   "model.layers.30.self_attn.o_proj",
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   "model.layers.9.mlp.gate_proj",
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   "model.layers.11.mlp.gate_proj",
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   "model.layers.12.mlp.gate_proj",
   "model.layers.12.mlp.up_proj",
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   "model.layers.16.mlp.gate_proj",
   "model.layers.16.mlp.up_proj",
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   "model.layers.17.mlp.gate_proj",
   "model.layers.17.mlp.up_proj",
   "model.layers.17.mlp.down_proj",
   "model.layers.18.mlp.gate_proj",
   "model.layers.18.mlp.up_proj",
   "model.layers.18.mlp.down_proj",
   "model.layers.35.mlp.gate_proj",
   "model.layers.35.mlp.up_proj",
   "model.layers.35.mlp.down_proj"
  ]
 },
 "R": {
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    6,
    8,
    9,
    10,
    28,
    29,
    32,
    33
   ],
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    7,
    8,
    14,
    25,
    28,
    31
   ]
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   "model.layers.5.self_attn.k_proj",
   "model.layers.5.self_attn.v_proj",
   "model.layers.5.self_attn.o_proj",
   "model.layers.6.self_attn.q_proj",
   "model.layers.6.self_attn.k_proj",
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   "model.layers.6.self_attn.o_proj",
   "model.layers.8.self_attn.q_proj",
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   "model.layers.8.self_attn.v_proj",
   "model.layers.8.self_attn.o_proj",
   "model.layers.9.self_attn.q_proj",
   "model.layers.9.self_attn.k_proj",
   "model.layers.9.self_attn.v_proj",
   "model.layers.9.self_attn.o_proj",
   "model.layers.10.self_attn.q_proj",
   "model.layers.10.self_attn.k_proj",
   "model.layers.10.self_attn.v_proj",
   "model.layers.10.self_attn.o_proj",
   "model.layers.28.self_attn.q_proj",
   "model.layers.28.self_attn.k_proj",
   "model.layers.28.self_attn.v_proj",
   "model.layers.28.self_attn.o_proj",
   "model.layers.29.self_attn.q_proj",
   "model.layers.29.self_attn.k_proj",
   "model.layers.29.self_attn.v_proj",
   "model.layers.29.self_attn.o_proj",
   "model.layers.32.self_attn.q_proj",
   "model.layers.32.self_attn.k_proj",
   "model.layers.32.self_attn.v_proj",
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   "model.layers.33.self_attn.q_proj",
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   "model.layers.3.mlp.gate_proj",
   "model.layers.3.mlp.up_proj",
   "model.layers.3.mlp.down_proj",
   "model.layers.6.mlp.gate_proj",
   "model.layers.6.mlp.up_proj",
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   "model.layers.31.mlp.gate_proj",
   "model.layers.31.mlp.up_proj",
   "model.layers.31.mlp.down_proj"
  ],
  "seed": 13
 },
 "path_used": "E1 (PEFT target_modules = projections of selected attention/MLP blocks)"
}