diff --git a/scripts/pissa_init.py b/scripts/pissa_init.py
index 10b81efc..50239727 100644
--- a/scripts/pissa_init.py
+++ b/scripts/pissa_init.py
@@ -50,7 +50,7 @@ def quantize_pissa(
         lora_alpha=lora_alpha if lora_alpha is not None else lora_rank * 2,
         lora_dropout=lora_dropout,
         target_modules=[name.strip() for name in lora_target.split(",")],
-        init_lora_weights="pissa" if pissa_iter == -1 else "pissa_niter_{}".format(pissa_iter)
+        init_lora_weights="pissa" if pissa_iter == -1 else "pissa_niter_{}".format(pissa_iter),
     )
 
     # Init PiSSA model
diff --git a/src/llamafactory/hparams/finetuning_args.py b/src/llamafactory/hparams/finetuning_args.py
index 1ef46eca..b676891e 100644
--- a/src/llamafactory/hparams/finetuning_args.py
+++ b/src/llamafactory/hparams/finetuning_args.py
@@ -352,7 +352,7 @@ class FinetuningArguments(FreezeArguments, LoraArguments, RLHFArguments, GaloreA
         self.additional_target: Optional[List[str]] = split_arg(self.additional_target)
         self.galore_target: List[str] = split_arg(self.galore_target)
         self.freeze_vision_tower = self.freeze_vision_tower or self.train_mm_proj_only
-        self.use_ref_model = (self.stage == "dpo" and self.pref_loss not in ["orpo", "simpo"])
+        self.use_ref_model = self.stage == "dpo" and self.pref_loss not in ["orpo", "simpo"]
 
         assert self.finetuning_type in ["lora", "freeze", "full"], "Invalid fine-tuning method."
         assert self.ref_model_quantization_bit in [None, 8, 4], "We only accept 4-bit or 8-bit quantization."