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sglang/test/registered/npu/llm_models/test_npu_minicpm3_4b.py
T
33ecf4bcd8 Add pr tests (#31952)
Co-authored-by: Claude <noreply@anthropic.com>
Co-authored-by: sglang-npu-bot <sglangnpu@163.com>
Co-authored-by: Cherry_ming <136634645@qq.com>
2026-08-01 15:03:21 +08:00

38 lines
1.0 KiB
Python

import unittest
from sglang.test.ascend.gsm8k_ascend_mixin import GSM8KAscendMixin
from sglang.test.ascend.test_ascend_utils import MINICPM3_4B_WEIGHTS_PATH
from sglang.test.ci.ci_register import register_npu_ci
from sglang.test.test_utils import CustomTestCase
register_npu_ci(est_time=400, suite="nightly-1-npu-a3", nightly=True)
class TestMiniCPM3(GSM8KAscendMixin, CustomTestCase):
"""Testcase: Verify that the inference accuracy of the OpenBMB/MiniCPM3-4B model on the GSM8K dataset is no less than 0.69.
[Test Category] Model
[Test Target] OpenBMB/MiniCPM3-4B
"""
model = MINICPM3_4B_WEIGHTS_PATH
accuracy = 0.69
other_args = [
"--trust-remote-code",
"--mem-fraction-static",
"0.8",
"--attention-backend",
"ascend",
"--disable-cuda-graph",
"--disable-radix-cache",
"--disable-overlap-schedule",
"--max-running-requests",
"128",
"--chunked-prefill-size",
"-1",
]
if __name__ == "__main__":
unittest.main()