diff --git a/python/sglang/srt/layers/quantization/__init__.py b/python/sglang/srt/layers/quantization/__init__.py
index da6f2931219c..6f86b7ca197a 100644
--- a/python/sglang/srt/layers/quantization/__init__.py
+++ b/python/sglang/srt/layers/quantization/__init__.py
@@ -1,4 +1,5 @@
 # Adapted from https://raw.githubusercontent.com/vllm-project/vllm/v0.5.5/vllm/model_executor/layers/quantization/__init__.py
+import logging
 from typing import Callable, Dict, Optional, Type
 
 import torch
@@ -28,6 +29,8 @@
 from sglang.srt.layers.quantization.modelopt_quant import ModelOptFp8Config
 from sglang.srt.layers.quantization.w8a8_int8 import W8A8Int8Config
 
+logger = logging.getLogger(__name__)
+
 QUANTIZATION_METHODS: Dict[str, Type[QuantizationConfig]] = {
     "aqlm": AQLMConfig,
     "awq": AWQConfig,
@@ -81,6 +84,9 @@ def awq_get_quant_method(self, layer, prefix):
         AWQMarlinLinearMethod,
         AWQMoEMethod,
     )
+    from vllm.model_executor.layers.quantization.utils.marlin_utils import (
+        check_marlin_supports_layer,
+    )
 
     from sglang.srt.layers.linear import LinearBase, UnquantizedLinearMethod
     from sglang.srt.layers.moe.fused_moe_triton.layer import FusedMoE
@@ -91,6 +97,14 @@ def awq_get_quant_method(self, layer, prefix):
     ):
         if is_layer_skipped_awq(prefix, self.modules_to_not_convert):
             return UnquantizedLinearMethod()
+        if not check_marlin_supports_layer(layer, self.group_size):
+            logger.warning_once(
+                f"Layer '{prefix}' is not supported by AWQMarlin. "
+                "Falling back to unoptimized AWQ kernels."
+            )
+            return AWQConfig.from_config(self.full_config).get_quant_method(
+                layer, prefix
+            )
         return AWQMarlinLinearMethod(self)
     elif isinstance(layer, FusedMoE):
         return AWQMoEMethod(self)