feat: QLoRA fine-tune v1 on M5 + fused model (M2)

configs/lora.yaml

@@ -0,0 +1,16 @@
+model: mlx-community/Qwen2.5-7B-Instruct-4bit
+train: true
+data: data/train
+adapter_path: adapters/buddhagpt-v1
+batch_size: 1
+grad_accumulation_steps: 8
+iters: 1200
+learning_rate: 1e-5
+num_layers: 16
+lora_parameters:
+  rank: 16
+  scale: 20.0
+  dropout: 0.05
+max_seq_length: 1024
+steps_per_eval: 200
+save_every: 200