[Feature][NPU]: add runtime support for AutoRound quantized models (#16699)

Co-authored-by: root <root@localhost.localdomain>
Co-authored-by: ronnie_zheng <zl19940307@163.com>

python/sglang/srt/layers/linear.py

@@ -64,10 +64,9 @@ WEIGHT_LOADER_V2_SUPPORTED = [
     "GPTQMarlin24LinearMethod",
     "TPUInt8LinearMethod",
     "GPTQLinearMethod",
-    "GPTQLinearAscendMethod",
-    "GPTQMoEAscendMethod",
     "FBGEMMFp8LinearMethod",
     "GPTQLinearAscendMethod",
+    "GPTQMoEAscendMethod",
     "ModelOptFp8LinearMethod",
     "ModelOptFp4LinearMethod",
     "IPEXAWQLinearMethod",

python/sglang/srt/layers/quantization/auto_round.py

@@ -14,6 +14,9 @@ from sglang.srt.layers.quantization.utils import get_scalar_types
 ScalarType, scalar_types = get_scalar_types()
 
 from sglang.srt.layers.quantization.base_config import QuantizationConfig
+from sglang.srt.utils import is_npu
+
+_is_npu = is_npu()
 
 
 class AutoRoundConfig(QuantizationConfig):
@@ -301,6 +304,11 @@ class AutoRoundConfig(QuantizationConfig):
     def apply_gptq_quant_layer(self, layer, prefix: str, backend: str = "auto"):
         from sglang.srt.layers.linear import LinearBase
         from sglang.srt.layers.moe.fused_moe_triton import FusedMoE
+        from sglang.srt.layers.quantization.gptq import (
+            GPTQConfig,
+            GPTQLinearAscendMethod,
+            GPTQMoEAscendMethod,
+        )
         from sglang.srt.layers.quantization.marlin_utils import (
             check_marlin_supported,
             check_moe_marlin_supports_layer,
@@ -323,6 +331,24 @@ class AutoRoundConfig(QuantizationConfig):
             group_size,
             sym,
         )
+        if _is_npu:
+            quant_args = GPTQConfig(
+                weight_bits=weight_bits,
+                group_size=group_size,
+                lm_head_quantized=False,
+                desc_act=False,
+                dynamic={},
+            )
+            quant_args.sym = sym
+
+            if isinstance(layer, FusedMoE):
+                return GPTQMoEAscendMethod(quant_args)
+
+            if isinstance(layer, (LinearBase, ParallelLMHead)):
+                return GPTQLinearAscendMethod(quant_args)
+
+            return None
+
         if backend == "auto" or "marlin" in backend:
             GPTQ_TYPE_MAP = {
                 (4, True): scalar_types.uint4b8,

test/srt/ascend/test_ascend_autoround_dense.py

@@ -0,0 +1,76 @@
+import logging
+import unittest
+from types import SimpleNamespace
+from urllib.parse import urlparse
+
+from sglang.srt.utils import kill_process_tree
+from sglang.test.few_shot_gsm8k import run_eval as run_eval_few_shot_gsm8k
+from sglang.test.test_utils import (
+    DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
+    DEFAULT_URL_FOR_TEST,
+    CustomTestCase,
+    popen_launch_server,
+)
+
+logger = logging.getLogger(__name__)
+
+TEST_MODEL_MATRIX = {
+    "/root/.cache/modelscope/hub/models/Intel/Qwen3-8B-int4-AutoRound": {
+        "accuracy": 0.85,
+    },
+}
+
+
+class TestAscendAutoRoundDense(CustomTestCase):
+
+    @classmethod
+    def setUpClass(cls):
+        cls.models = TEST_MODEL_MATRIX.keys()
+        cls.base_url = DEFAULT_URL_FOR_TEST
+        cls.url = urlparse(DEFAULT_URL_FOR_TEST)
+        cls.common_args = [
+            "--trust-remote-code",
+            "--mem-fraction-static",
+            0.8,
+            "--attention-backend",
+            "ascend",
+            "--quantization",
+            "auto-round",
+        ]
+
+    def test_a_gsm8k(self):
+        for model in self.models:
+            with self.subTest(model=model):
+                logger.info(f"##=== Testing accuracy: {model} ===##")
+
+                process = popen_launch_server(
+                    model,
+                    self.base_url,
+                    timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
+                    other_args=[
+                        *self.common_args,
+                    ],
+                )
+
+                try:
+                    args = SimpleNamespace(
+                        num_shots=5,
+                        data_path=None,
+                        num_questions=1319,
+                        max_new_tokens=512,
+                        parallel=128,
+                        host=f"http://{self.url.hostname}",
+                        port=int(self.url.port),
+                    )
+
+                    metrics = run_eval_few_shot_gsm8k(args)
+                    self.assertGreaterEqual(
+                        metrics["accuracy"],
+                        TEST_MODEL_MATRIX[model]["accuracy"],
+                    )
+                finally:
+                    kill_process_tree(process.pid)
+
+
+if __name__ == "__main__":
+    unittest.main()

test/srt/ascend/test_ascend_autoround_moe.py

@@ -0,0 +1,76 @@
+import logging
+import unittest
+from types import SimpleNamespace
+from urllib.parse import urlparse
+
+from sglang.srt.utils import kill_process_tree
+from sglang.test.few_shot_gsm8k import run_eval as run_eval_few_shot_gsm8k
+from sglang.test.test_utils import (
+    DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
+    DEFAULT_URL_FOR_TEST,
+    CustomTestCase,
+    popen_launch_server,
+)
+
+logger = logging.getLogger(__name__)
+
+TEST_MODEL_MATRIX = {
+    "/root/.cache/modelscope/hub/models/Intel/Qwen3-30B-A3B-Instruct-2507-int4-AutoRound": {
+        "accuracy": 0.85,
+    },
+}
+
+
+class TestAscendAutoRoundMoE(CustomTestCase):
+
+    @classmethod
+    def setUpClass(cls):
+        cls.models = TEST_MODEL_MATRIX.keys()
+        cls.base_url = DEFAULT_URL_FOR_TEST
+        cls.url = urlparse(DEFAULT_URL_FOR_TEST)
+        cls.common_args = [
+            "--trust-remote-code",
+            "--mem-fraction-static",
+            0.8,
+            "--attention-backend",
+            "ascend",
+            "--quantization",
+            "auto-round",
+        ]
+
+    def test_a_gsm8k(self):
+        for model in self.models:
+            with self.subTest(model=model):
+                logger.info(f"##=== Testing accuracy: {model} ===##")
+
+                process = popen_launch_server(
+                    model,
+                    self.base_url,
+                    timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
+                    other_args=[
+                        *self.common_args,
+                    ],
+                )
+
+                try:
+                    args = SimpleNamespace(
+                        num_shots=5,
+                        data_path=None,
+                        num_questions=1319,
+                        max_new_tokens=512,
+                        parallel=128,
+                        host=f"http://{self.url.hostname}",
+                        port=int(self.url.port),
+                    )
+
+                    metrics = run_eval_few_shot_gsm8k(args)
+                    self.assertGreaterEqual(
+                        metrics["accuracy"],
+                        TEST_MODEL_MATRIX[model]["accuracy"],
+                    )
+                finally:
+                    kill_process_tree(process.pid)
+
+
+if __name__ == "__main__":
+    unittest.main()

test/srt/run_suite.py

@@ -83,6 +83,8 @@ suite_xpu = {
 # NOTE: please sort the test cases alphabetically by the test file name
 suite_ascend = {
     "per-commit-1-npu-a2": [
+        TestFile("ascend/test_ascend_autoround_dense.py", 400),
+        TestFile("ascend/test_ascend_autoround_moe.py", 400),
         TestFile("ascend/test_ascend_gptq.py", 400),
         TestFile("ascend/test_ascend_gptq_moe.py", 400),
         TestFile("ascend/test_ascend_graph_tp1_bf16.py", 400),