diff --git a/llm/utils/argument.py b/llm/utils/argument.py
index bd822261c283..099c08ebe7e8 100644
--- a/llm/utils/argument.py
+++ b/llm/utils/argument.py
@@ -299,11 +299,6 @@ class QuantArgument:
     do_ptq: bool = field(default=False, metadata={"help": "Whether to use PTQ"})
     ptq_step: int = field(default=32, metadata={"help": "Step for PTQ"})
 
-    weight_quant_method: str = field(
-        default="abs_max_channel_wise",
-        metadata={"help": "Weight quantization method, choosen from ['abs_max_channel_wise', 'groupwise']"},
-    )
-
     # Pre-quant method Shift related parameters
     shift: bool = field(default=False, metadata={"help": "Whether to use Shift"})
     shift_all_linears: bool = field(default=False, metadata={"help": "Whether to shift all linears"})
diff --git a/llm/utils/quant.py b/llm/utils/quant.py
index b9520e72edc3..11a22fe6fa5b 100644
--- a/llm/utils/quant.py
+++ b/llm/utils/quant.py
@@ -69,7 +69,7 @@
 
 WEIGHT_OBSERVER = dict(
     abs_max_channel_wise=AbsMaxChannelWiseWeightObserver,
-    group_wise=GroupWiseWeightObserver,
+    groupwise=GroupWiseWeightObserver,
 )
 
 CACHEKV_OBSERVER = dict(
@@ -259,12 +259,12 @@ def prepare_qconfig(args):
         activation = act_observer(quant_bits=a_quant_bit)
         weight = weight_observer(quant_bits=w_quant_bit)
 
-    elif quant_type in ["wint4", "w4a16", "weight_only_int8"]:
+    elif quant_type in ["wint4", "w4a16", "weight_only_int4"]:
         activation = None
-        weight = GroupWiseWeightObserver(quant_bits=4, group_size=args.group_size)  # TODO
+        weight = weight_observer(quant_bits=4)
+
     elif quant_type in ["wint8", "w8a16", "weight_only_int8"]:
         activation = None
-
         if "w" in args.use_fp8:
             weight = weight_observer(quant_bits=(4, 3))
         else: