diff --git a/examples/extras/eaft/qwen25_05b_eaft_full.yaml b/examples/extras/eaft/qwen25_05b_eaft_full.yaml
index 904858f73..72c0b0184 100644
--- a/examples/extras/eaft/qwen25_05b_eaft_full.yaml
+++ b/examples/extras/eaft/qwen25_05b_eaft_full.yaml
@@ -36,5 +36,3 @@ lr_scheduler_type: cosine
 warmup_ratio: 0.1
 bf16: true
 ddp_timeout: 180000000
-
-
diff --git a/src/llamafactory/hparams/parser.py b/src/llamafactory/hparams/parser.py
index b1ffbb706..6e9541b84 100644
--- a/src/llamafactory/hparams/parser.py
+++ b/src/llamafactory/hparams/parser.py
@@ -15,6 +15,7 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
+import json
 import os
 import sys
 from pathlib import Path
@@ -70,13 +71,13 @@ def read_args(args: dict[str, Any] | list[str] | None = None) -> dict[str, Any]
     if args is not None:
         return args
 
-    if sys.argv[1].endswith(".yaml") or sys.argv[1].endswith(".yml"):
+    if len(sys.argv) > 1 and (sys.argv[1].endswith(".yaml") or sys.argv[1].endswith(".yml")):
         override_config = OmegaConf.from_cli(sys.argv[2:])
         dict_config = OmegaConf.load(Path(sys.argv[1]).absolute())
         return OmegaConf.to_container(OmegaConf.merge(dict_config, override_config))
-    elif sys.argv[1].endswith(".json"):
+    elif len(sys.argv) > 1 and sys.argv[1].endswith(".json"):
         override_config = OmegaConf.from_cli(sys.argv[2:])
-        dict_config = OmegaConf.load(Path(sys.argv[1]).absolute())
+        dict_config = OmegaConf.create(json.load(Path(sys.argv[1]).absolute()))
         return OmegaConf.to_container(OmegaConf.merge(dict_config, override_config))
     else:
         return sys.argv[1:]
diff --git a/src/llamafactory/v1/config/arg_parser.py b/src/llamafactory/v1/config/arg_parser.py
index adec3e4bb..aee30efaf 100644
--- a/src/llamafactory/v1/config/arg_parser.py
+++ b/src/llamafactory/v1/config/arg_parser.py
@@ -30,21 +30,6 @@ from .training_args import TrainingArguments
 InputArgument = dict[str, Any] | list[str] | None
 
 
-def validate_args(
-    data_args: DataArguments,
-    model_args: ModelArguments,
-    training_args: TrainingArguments,
-    sample_args: SampleArguments,
-):
-    """Validate arguments."""
-    if (
-        model_args.quant_config is not None
-        and training_args.dist_config is not None
-        and training_args.dist_config.name == "deepspeed"
-    ):
-        raise ValueError("Quantization is not supported with deepspeed backend.")
-
-
 def get_args(args: InputArgument = None) -> tuple[DataArguments, ModelArguments, TrainingArguments, SampleArguments]:
     """Parse arguments from command line or config file."""
     parser = HfArgumentParser([DataArguments, ModelArguments, TrainingArguments, SampleArguments])
@@ -71,8 +56,6 @@ def get_args(args: InputArgument = None) -> tuple[DataArguments, ModelArguments,
             print(f"Got unknown args, potentially deprecated arguments: {unknown_args}")
             raise ValueError(f"Some specified arguments are not used by the HfArgumentParser: {unknown_args}")
 
-    validate_args(*parsed_args)
-
     return tuple(parsed_args)