fix: remove quantization_config after loading to bypass SFTTrainer check

training/scripts/train.py

@@ -40,6 +40,8 @@ def train(config_path):
         device_map="cpu",  # Load to CPU first
         trust_remote_code=True,
     )
+    # Remove quantization config to avoid SFTTrainer validation error
+    model.config.quantization_config = None
     print("Model loaded and converted to bf16.")
     
     # Add LoRA