[CI] Add Llama 3.1 8B FP4 to B200 CI (#12182)
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@@ -180,9 +180,10 @@ suites = {
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TestFile("test_disaggregation_pp.py", 140),
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TestFile("test_disaggregation_pp.py", 140),
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],
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],
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"per-commit-4-gpu-b200": [
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"per-commit-4-gpu-b200": [
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TestFile("test_deepseek_v3_fp4_4gpu.py", 3600),
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TestFile("test_flash_attention_4.py", 300),
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TestFile("test_flash_attention_4.py", 300),
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TestFile("test_gpt_oss_4gpu.py", 600),
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TestFile("test_gpt_oss_4gpu.py", 600),
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TestFile("test_deepseek_v3_fp4_4gpu.py", 3600),
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TestFile("test_llama31_fp4.py", 300),
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],
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],
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"per-commit-4-gpu-deepep": [
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"per-commit-4-gpu-deepep": [
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TestFile("ep/test_deepep_small.py", 531),
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TestFile("ep/test_deepep_small.py", 531),
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@@ -0,0 +1,58 @@
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import unittest
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from types import SimpleNamespace
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from urllib.parse import urlparse
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from sglang.srt.utils import get_device_sm, kill_process_tree
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from sglang.test.few_shot_gsm8k import run_eval as run_eval_few_shot_gsm8k
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from sglang.test.test_utils import (
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DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
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DEFAULT_URL_FOR_TEST,
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popen_launch_server,
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)
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MODEL_PATH = "nvidia/Llama-3.1-8B-Instruct-FP4"
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@unittest.skipIf(get_device_sm() < 100, "Test requires CUDA SM 100 or higher")
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class TestLlama31FP4B200(unittest.TestCase):
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@classmethod
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def setUpClass(cls):
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cls.model = MODEL_PATH
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cls.base_url = DEFAULT_URL_FOR_TEST
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other_args = [
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"--trust-remote-code",
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"--mem-fraction-static",
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"0.8",
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"--quantization",
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"modelopt_fp4",
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]
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cls.process = popen_launch_server(
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cls.model,
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cls.base_url,
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timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
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other_args=other_args,
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)
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@classmethod
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def tearDownClass(cls):
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kill_process_tree(cls.process.pid)
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def test_gsm8k(self):
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parsed_url = urlparse(self.base_url)
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args = SimpleNamespace(
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num_shots=4,
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data_path=None,
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num_questions=100,
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max_new_tokens=512,
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parallel=128,
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host=f"{parsed_url.scheme}://{parsed_url.hostname}",
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port=parsed_url.port,
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)
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metrics = run_eval_few_shot_gsm8k(args)
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print(metrics)
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self.assertGreater(metrics["accuracy"], 0.61)
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if __name__ == "__main__":
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unittest.main()
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