[fix] fit neat_packing & mrope model packing (#10283)

Co-authored-by: Yaowei Zheng <hiyouga@buaa.edu.cn>

src/llamafactory/train/sft/workflow.py

@@ -65,6 +65,7 @@ def run_sft(
         pad_to_multiple_of=8 if training_args.do_train else None,  # for shift short attention
         label_pad_token_id=IGNORE_INDEX if data_args.ignore_pad_token_for_loss else tokenizer.pad_token_id,
         block_diag_attn=model_args.block_diag_attn,
+        neat_packing=data_args.neat_packing,
         attn_implementation=getattr(model.config, "_attn_implementation", None),
         compute_dtype=model_args.compute_dtype,
         **tokenizer_module,