diff --git a/tests/weight_loading/models-large.txt b/tests/weight_loading/models-large.txt
index 2f5c6c5a117f3..8ab7f05d7d1b2 100644
--- a/tests/weight_loading/models-large.txt
+++ b/tests/weight_loading/models-large.txt
@@ -2,3 +2,4 @@ compressed-tensors, nm-testing/Mixtral-8x7B-Instruct-v0.1-W4A16-quantized, main
 compressed-tensors, nm-testing/Mixtral-8x7B-Instruct-v0.1-W4A16-channel-quantized, main
 compressed-tensors, nm-testing/Mixtral-8x7B-Instruct-v0.1-W8A16-quantized, main
 gptq_marlin, TheBloke/Mixtral-8x7B-v0.1-GPTQ, main
+awq_marlin, casperhansen/deepseek-coder-v2-instruct-awq, main
\ No newline at end of file
diff --git a/vllm/model_executor/layers/quantization/awq_marlin.py b/vllm/model_executor/layers/quantization/awq_marlin.py
index 9704b1adbce55..5c689f03925a1 100644
--- a/vllm/model_executor/layers/quantization/awq_marlin.py
+++ b/vllm/model_executor/layers/quantization/awq_marlin.py
@@ -293,7 +293,7 @@ def create_weights(self, layer: torch.nn.Module, num_experts: int,
             "is_transposed":
             True,
             "quant_method":
-            FusedMoeWeightScaleSupported.GROUP,
+            FusedMoeWeightScaleSupported.GROUP.value,
         })
 
         w13_qweight = Parameter(torch.empty(num_experts,