[NPU] [Quantization] w4a4 MoE layer support (#18924)

test/registered/ascend/llm_models/test_ascend_qwen3_30b_w4a4.py

@@ -0,0 +1,37 @@
+import unittest
+
+from sglang.test.ascend.gsm8k_ascend_mixin import GSM8KAscendMixin
+from sglang.test.ascend.test_ascend_utils import QWEN3_30B_MODELSLIM_INT4_WEIGHTS_PATH
+from sglang.test.ci.ci_register import register_npu_ci
+from sglang.test.test_utils import CustomTestCase
+
+register_npu_ci(est_time=400, suite="per-commit-2-npu-a2")
+
+
+class TestQwen317BGPTQInt8(GSM8KAscendMixin, CustomTestCase):
+    """Testcase: Verify that the inference accuracy of the Eco-Tech/Qwen3-30B-A3B-w4a4-LAOS model on the GSM8K dataset is no less than 0.85.
+
+    [Test Category] Model
+    [Test Target] Qwen/Qwen3-1.7B-GPTQ-Int8
+    """
+
+    model = QWEN3_30B_MODELSLIM_INT4_WEIGHTS_PATH
+    accuracy = 0.85
+    other_args = [
+        "--trust-remote-code",
+        "--mem-fraction-static",
+        0.8,
+        "--max-running-requests",
+        32,
+        "--attention-backend",
+        "ascend",
+        "--disable-cuda-graph",
+        "--cuda-graph-max-bs",
+        32,
+        "--tp-size",
+        2,
+    ]
+
+
+if __name__ == "__main__":
+    unittest.main()