[NVIDIA] Enable TRTLLM BF16 MoE on Blackwell GPUs (#13798)

test/nightly/test_flashinfer_trtllm_gen_moe_backend.py

@@ -15,7 +15,7 @@ from sglang.test.test_utils import (
 register_cuda_ci(est_time=300, suite="nightly-4-gpu-b200", nightly=True)
 
 
-class TestFlashinferTrtllmGenMoeBackend(CustomTestCase):
+class TestFlashinferTrtllmGenMoeBackendFP8(CustomTestCase):
     @classmethod
     def setUpClass(cls):
         cls.model = "Qwen/Qwen3-Next-80B-A3B-Instruct-FP8"
@@ -60,5 +60,51 @@ class TestFlashinferTrtllmGenMoeBackend(CustomTestCase):
         self.assertGreater(metrics["accuracy"], 0.93)
 
 
+class TestFlashinferTrtllmGenMoeBackendBF16(CustomTestCase):
+    @classmethod
+    def setUpClass(cls):
+        cls.model = "Qwen/Qwen3-Next-80B-A3B-Instruct"
+        cls.base_url = DEFAULT_URL_FOR_TEST
+        cls.process = popen_launch_server(
+            cls.model,
+            cls.base_url,
+            timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
+            other_args=[
+                "--attention-backend",
+                "triton",
+                "--moe-runner-backend",
+                "flashinfer_trtllm",
+                "--cuda-graph-max-bs",
+                "512",
+                "--tp-size",
+                "4",
+                "--ep-size",
+                "4",
+                "--mem-fraction-static",
+                "0.7",
+                "--mamba-ssm-dtype",
+                "bfloat16",
+            ],
+        )
+
+    @classmethod
+    def tearDownClass(cls):
+        kill_process_tree(cls.process.pid)
+
+    def test_gsm8k(self):
+        args = SimpleNamespace(
+            num_shots=5,
+            data_path=None,
+            num_questions=200,
+            max_new_tokens=512,
+            parallel=128,
+            host="http://127.0.0.1",
+            port=int(self.base_url.split(":")[-1]),
+        )
+        metrics = run_eval(args)
+        print(f"{metrics=}")
+        self.assertGreater(metrics["accuracy"], 0.93)
+
+
 if __name__ == "__main__":
     unittest.main()