update arg name

Former-commit-id: 1509ed550b2060f946ce20e3c5a9e5c49e86e3ab

src/llamafactory/model/patcher.py

@@ -29,11 +29,12 @@ from .model_utils.checkpointing import prepare_model_for_training
 from .model_utils.embedding import resize_embedding_layer
 from .model_utils.longlora import configure_longlora
 from .model_utils.moe import add_z3_leaf_module, configure_moe
+from .model_utils.packing import configure_packing
 from .model_utils.quantization import configure_quantization
 from .model_utils.rope import configure_rope
 from .model_utils.valuehead import prepare_valuehead_model
 from .model_utils.visual import autocast_projector_dtype, configure_visual_model
-from .model_utils.packing import configure_packing
+
 
 if TYPE_CHECKING:
     from transformers import PretrainedConfig, PreTrainedTokenizer
@@ -73,6 +74,7 @@ def patch_config(
     configure_quantization(config, tokenizer, model_args, init_kwargs)
     configure_moe(config, model_args, is_trainable)
     configure_visual_model(config)
+    configure_packing(config, model_args, is_trainable)
 
     if model_args.use_cache and not is_trainable:
         setattr(config, "use_cache", True)
@@ -101,9 +103,6 @@ def patch_config(
 
             if init_kwargs.get("device_map", None) == "auto":
                 init_kwargs["offload_folder"] = model_args.offload_folder
-    
-    if model_args.efficient_packing:
-        configure_packing(config, model_args)
 
 
 def patch_model(