[ci] add kimi nvfp4 nightly tests (#28467)

test/registered/quant/test_kimi_k25_nvfp4_eagle.py

@@ -0,0 +1,68 @@
+import unittest
+
+from sglang.test.accuracy_test_runner import AccuracyTestParams
+from sglang.test.ci.ci_register import register_cuda_ci
+from sglang.test.performance_test_runner import PerformanceTestParams
+from sglang.test.run_combined_tests import run_combined_tests
+from sglang.test.test_utils import ModelLaunchSettings
+
+# Kimi-K2.5 NVFP4 + EAGLE3 (MLA draft) speculative decoding on 4x B200, tp=4.
+register_cuda_ci(est_time=3000, suite="nightly-4-gpu-b200", nightly=True)
+
+MODEL_PATH = "nvidia/Kimi-K2.5-NVFP4"
+DRAFT_MODEL_PATH = "lightseekorg/kimi-k2.5-eagle3-mla"
+
+EXTRA_ARGS = [
+    "--trust-remote-code",
+    "--attention-backend=tokenspeed_mla",
+    "--moe-runner-backend=flashinfer_trtllm",
+    "--quantization=modelopt_fp4",
+    "--kv-cache-dtype=fp8_e4m3",
+    "--mem-fraction-static=0.85",
+    "--max-running-requests=16",
+    "--speculative-algorithm=EAGLE3",
+    f"--speculative-draft-model-path={DRAFT_MODEL_PATH}",
+    "--speculative-num-steps=3",
+    "--speculative-eagle-topk=1",
+    "--speculative-num-draft-tokens=4",
+    "--speculative-draft-model-quantization=unquant",
+]
+
+
+class TestKimiK25Nvfp4Eagle(unittest.TestCase):
+    """Kimi-K2.5 NVFP4 with EAGLE3 speculative decoding on 4x B200 (tp=4).
+
+    Runs both an accuracy test (gsm8k) and a performance test (bs=1/8/16),
+    and gates the speculative-decoding accept length.
+    """
+
+    def test_kimi_k25_nvfp4_eagle(self):
+        variants = [
+            ModelLaunchSettings(
+                MODEL_PATH,
+                tp_size=4,
+                extra_args=EXTRA_ARGS,
+                variant="TP4+EAGLE3",
+            ),
+        ]
+
+        run_combined_tests(
+            models=variants,
+            test_name="Kimi-K2.5-NVFP4 EAGLE3",
+            # Thresholds from a measured tp=4 run: gsm8k 0.945, perf accept ~3.0-3.3.
+            accuracy_params=AccuracyTestParams(
+                dataset="gsm8k",
+                baseline_accuracy=0.92,
+                num_examples=200,
+                api="completion",
+            ),
+            performance_params=PerformanceTestParams(
+                batch_sizes=[1, 8, 16],
+                spec_accept_length_threshold=2.8,
+                profile_dir="performance_profiles_kimi_k25_nvfp4_eagle",
+            ),
+        )
+
+
+if __name__ == "__main__":
+    unittest.main()