# Qwen3-8B LoRA config (for reference; the CLI in student_train.py accepts these as flags).
base_model: Qwen/Qwen3-8B
adapter:
  r: 16
  alpha: 32
  dropout: 0.05
  target_modules: [q_proj, k_proj, v_proj, o_proj, gate_proj, up_proj, down_proj]
training:
  epochs: 2
  lr: 2.0e-4
  batch_size: 8
  grad_accum: 4
  max_seq_len: 1024
  warmup_ratio: 0.03
  precision: bf16
  packing: true
  load_in_4bit: true