diff --git a/tensorrt_llm/_torch/modules/fused_moe/configurable_moe.py b/tensorrt_llm/_torch/modules/fused_moe/configurable_moe.py
index 1c183310c83a..a96025c1d036 100644
--- a/tensorrt_llm/_torch/modules/fused_moe/configurable_moe.py
+++ b/tensorrt_llm/_torch/modules/fused_moe/configurable_moe.py
@@ -647,6 +647,12 @@ def create_weights(self):
         assert hasattr(self.backend, "create_weights"), (
             f"Backend {self.backend.__class__.__name__} must implement create_weights()"
         )
+        # Sync quant_config to backend before creating weights.
+        # apply_layerwise_quant_config() matches modules by name (e.g. "model.layers.X.mlp.experts"),
+        # but the backend's module name has a ".backend" suffix that prevents matching.
+        # Propagate the (possibly updated) quant_config from ConfigurableMoE to backend here
+        # so that backend._get_quant_method() uses the correct per-layer quantization config.
+        self.backend.quant_config = self.quant_config
         return self.backend.create_weights()
 
     def load_weights(self, weights: List[Dict], allow_partial_loading: bool = False):
diff --git a/tests/integration/defs/accuracy/references/mmlu.yaml b/tests/integration/defs/accuracy/references/mmlu.yaml
index a870fbba6402..96a1f143ca7b 100644
--- a/tests/integration/defs/accuracy/references/mmlu.yaml
+++ b/tests/integration/defs/accuracy/references/mmlu.yaml
@@ -247,6 +247,8 @@ Qwen3/Qwen3-30B-A3B:
   - quant_algo: NVFP4
     kv_cache_quant_algo: FP8
     accuracy: 79.53
+  - quant_algo: W4A8_AWQ
+    accuracy: 79.53
   - quant_algo: W4A8_MXFP4_FP8
     accuracy: 79.78
   - quant_algo: W4A8_MXFP4_MXFP8
diff --git a/tests/integration/defs/accuracy/test_llm_api_pytorch.py b/tests/integration/defs/accuracy/test_llm_api_pytorch.py
index 378aa74751db..e2a8e8a98af4 100644
--- a/tests/integration/defs/accuracy/test_llm_api_pytorch.py
+++ b/tests/integration/defs/accuracy/test_llm_api_pytorch.py
@@ -4757,6 +4757,29 @@ def test_nvfp4(
             task = GSM8K(self.MODEL_NAME)
             task.evaluate(llm)
 
+    @skip_pre_hopper
+    @skip_post_blackwell
+    @pytest.mark.parametrize(
+        "tp_size,pp_size,ep_size,attention_dp,cuda_graph,overlap_scheduler",
+        [(2, 1, 1, False, False, True)],
+        ids=["tp2_ep1"])
+    def test_w4a8(self, tp_size, pp_size, ep_size, attention_dp, cuda_graph,
+                  overlap_scheduler):
+        pytorch_config = dict(
+            disable_overlap_scheduler=not overlap_scheduler,
+            cuda_graph_config=CudaGraphConfig() if cuda_graph else None)
+
+        llm = LLM(
+            f"{llm_models_root()}/Qwen3/saved_models_Qwen3-30B-A3B_w4a8_hf",
+            tensor_parallel_size=tp_size,
+            pipeline_parallel_size=pp_size,
+            moe_expert_parallel_size=ep_size,
+            **pytorch_config,
+            enable_attention_dp=attention_dp)
+        with llm:
+            task = MMLU(self.MODEL_NAME)
+            task.evaluate(llm)
+
     @pytest.mark.parametrize("moe_backend", ["CUTLASS", "TRTLLM"])
     @pytest.mark.parametrize("tp_size,pp_size,ep_size", [
         (1, 1, 1),
diff --git a/tests/integration/test_lists/qa/llm_function_core.txt b/tests/integration/test_lists/qa/llm_function_core.txt
index fa1882623a3a..05a9a6eb8799 100644
--- a/tests/integration/test_lists/qa/llm_function_core.txt
+++ b/tests/integration/test_lists/qa/llm_function_core.txt
@@ -725,6 +725,7 @@ accuracy/test_llm_api_pytorch.py::TestQwen3_30B_A3B::test_nvfp4[tep4_latency_moe
 accuracy/test_llm_api_pytorch.py::TestQwen3_30B_A3B::test_nvfp4[tep4_latency_moe_trtllm-torch_compile=True]
 accuracy/test_llm_api_pytorch.py::TestQwen3_30B_A3B::test_w4a16_mxfp4[latency-TRITON]
 accuracy/test_llm_api_pytorch.py::TestQwen3_30B_A3B::test_w4a16_mxfp4[latency-TRTLLM]
+accuracy/test_llm_api_pytorch.py::TestQwen3_30B_A3B::test_w4a8[tp2_ep1]
 accuracy/test_llm_api_pytorch.py::TestQwen3_30B_A3B::test_w4a8_mxfp4[fp8-latency-CUTLASS]
 accuracy/test_llm_api_pytorch.py::TestQwen3_30B_A3B::test_w4a8_mxfp4[fp8-latency-TRTLLM]
 accuracy/test_llm_api_pytorch.py::TestQwen3_30B_A3B::test_w4a8_mxfp4[mxfp8-latency-CUTLASS]
diff --git a/tests/integration/test_lists/test-db/l0_dgx_h100.yml b/tests/integration/test_lists/test-db/l0_dgx_h100.yml
index 6d63a7782a53..aa32681a3abe 100644
--- a/tests/integration/test_lists/test-db/l0_dgx_h100.yml
+++ b/tests/integration/test_lists/test-db/l0_dgx_h100.yml
@@ -62,6 +62,8 @@ l0_dgx_h100:
   # llmapi
   - unittest/llmapi/test_mpi_session.py::test_llmapi_launch_multiple_tasks
   - accuracy/test_disaggregated_serving.py::TestLlama3_1_8BInstruct::test_gen_only_spec_dec
+  # ------------- Model specific tests ---------------
+  - accuracy/test_llm_api_pytorch.py::TestQwen3_30B_A3B::test_w4a8[tp2_ep1]
 - condition:
     ranges:
       system_gpu_count: