[ci] add kimi nvfp4 nightly tests (#28467)
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import unittest
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from sglang.test.accuracy_test_runner import AccuracyTestParams
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from sglang.test.ci.ci_register import register_cuda_ci
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from sglang.test.performance_test_runner import PerformanceTestParams
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from sglang.test.run_combined_tests import run_combined_tests
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from sglang.test.test_utils import ModelLaunchSettings
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# Kimi-K2.5 NVFP4 + EAGLE3 (MLA draft) speculative decoding on 4x B200, tp=4.
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register_cuda_ci(est_time=3000, suite="nightly-4-gpu-b200", nightly=True)
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MODEL_PATH = "nvidia/Kimi-K2.5-NVFP4"
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DRAFT_MODEL_PATH = "lightseekorg/kimi-k2.5-eagle3-mla"
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EXTRA_ARGS = [
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"--trust-remote-code",
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"--attention-backend=tokenspeed_mla",
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"--moe-runner-backend=flashinfer_trtllm",
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"--quantization=modelopt_fp4",
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"--kv-cache-dtype=fp8_e4m3",
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"--mem-fraction-static=0.85",
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"--max-running-requests=16",
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"--speculative-algorithm=EAGLE3",
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f"--speculative-draft-model-path={DRAFT_MODEL_PATH}",
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"--speculative-num-steps=3",
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"--speculative-eagle-topk=1",
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"--speculative-num-draft-tokens=4",
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"--speculative-draft-model-quantization=unquant",
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]
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class TestKimiK25Nvfp4Eagle(unittest.TestCase):
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"""Kimi-K2.5 NVFP4 with EAGLE3 speculative decoding on 4x B200 (tp=4).
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Runs both an accuracy test (gsm8k) and a performance test (bs=1/8/16),
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and gates the speculative-decoding accept length.
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"""
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def test_kimi_k25_nvfp4_eagle(self):
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variants = [
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ModelLaunchSettings(
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MODEL_PATH,
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tp_size=4,
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extra_args=EXTRA_ARGS,
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variant="TP4+EAGLE3",
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),
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]
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run_combined_tests(
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models=variants,
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test_name="Kimi-K2.5-NVFP4 EAGLE3",
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# Thresholds from a measured tp=4 run: gsm8k 0.945, perf accept ~3.0-3.3.
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accuracy_params=AccuracyTestParams(
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dataset="gsm8k",
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baseline_accuracy=0.92,
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num_examples=200,
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api="completion",
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),
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performance_params=PerformanceTestParams(
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batch_sizes=[1, 8, 16],
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spec_accept_length_threshold=2.8,
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profile_dir="performance_profiles_kimi_k25_nvfp4_eagle",
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),
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)
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if __name__ == "__main__":
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unittest.main()
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