import os import unittest from types import SimpleNamespace from sglang.srt.utils import kill_process_tree from sglang.test.run_eval import run_eval from sglang.test.test_utils import ( DEFAULT_MODEL_NAME_FOR_TEST, DEFAULT_SMALL_MODEL_NAME_FOR_TEST_QWEN, DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH, DEFAULT_URL_FOR_TEST, CustomTestCase, popen_launch_server, ) class TestFp8KvcacheBase(CustomTestCase): model_config = None @classmethod def setUpClass(cls): if cls.model_config is None: raise NotImplementedError("model_config must be specified in subclass") cls.model = cls.model_config["model_name"] cls.base_url = DEFAULT_URL_FOR_TEST dirpath = os.path.dirname(__file__) config_file = os.path.join(dirpath, cls.model_config["config_filename"]) cls.process = popen_launch_server( cls.model, cls.base_url, timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH, other_args=[ "--kv-cache-dtype", "fp8_e4m3", "--quantization-param-path", config_file, ], ) class TestFp8KvcacheLlama(TestFp8KvcacheBase): model_config = { "model_name": DEFAULT_MODEL_NAME_FOR_TEST, "config_filename": "kv_cache_scales_llama3_8b.json", } @classmethod def tearDownClass(cls): kill_process_tree(cls.process.pid) def test_mgsm_en(self): args = SimpleNamespace( base_url=self.base_url, model=self.model, eval_name="mgsm_en", num_examples=None, num_threads=1024, ) metrics = run_eval(args) self.assertGreater(metrics["score"], 0.80) def test_mmlu(self): args = SimpleNamespace( base_url=self.base_url, model=self.model, eval_name="mmlu", num_examples=64, num_threads=32, ) metrics = run_eval(args) self.assertGreaterEqual(metrics["score"], 0.65) class TestFp8KvcacheQwen(TestFp8KvcacheBase): model_config = { "model_name": DEFAULT_SMALL_MODEL_NAME_FOR_TEST_QWEN, "config_filename": "kv_cache_scales_qwen2_1_5b.json", } @classmethod def tearDownClass(cls): kill_process_tree(cls.process.pid) def test_mgsm_en(self): args = SimpleNamespace( base_url=self.base_url, model=self.model, eval_name="mgsm_en", num_examples=None, num_threads=1024, ) metrics = run_eval(args) self.assertGreater(metrics["score"], 0.01) def test_mmlu(self): args = SimpleNamespace( base_url=self.base_url, model=self.model, eval_name="mmlu", num_examples=64, num_threads=32, ) metrics = run_eval(args) self.assertGreaterEqual(metrics["score"], 0.3) if __name__ == "__main__": unittest.main()