[quantization] AWQ Marlin doesn't work when dtype is bfloat16 (#11494)

Signed-off-by: Kai-Hsun Chen <khchen@x.ai>
Co-authored-by: Xinyuan Tong <115166877+JustinTong0323@users.noreply.github.com>
This commit is contained in:
Kai-Hsun Chen
2025-10-26 15:49:45 +08:00
committed by GitHub
co-authored by Xinyuan Tong
parent 8491c794ad
commit 6371f7af27
4 changed files with 42 additions and 4 deletions
+35
View File
@@ -1,6 +1,8 @@
import unittest
from types import SimpleNamespace
import requests
from sglang.srt.utils import kill_process_tree
from sglang.test.run_eval import run_eval
from sglang.test.test_utils import (
@@ -41,5 +43,38 @@ class TestAWQ(CustomTestCase):
self.assertGreater(metrics["score"], 0.64)
class TestAWQMarlinBfloat16(CustomTestCase):
"""
Verify that the model can be loaded with bfloat16 dtype and awq_marlin quantization
"""
@classmethod
def setUpClass(cls):
cls.model = "QuantTrio/Qwen3-VL-30B-A3B-Instruct-AWQ"
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=["--dtype", "bfloat16", "--quantization", "awq_marlin"],
)
@classmethod
def tearDownClass(cls):
kill_process_tree(cls.process.pid)
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.assertGreater(metrics["score"], 0.88)
if __name__ == "__main__":
unittest.main()