Files
sglang/test/registered/ascend/llm_models/test_npu_exaone_3.py
Sugar920 895e56097c Add NPU basic function testcases (#19382)
Co-authored-by: cy <chenyang08056032@163.com>
Co-authored-by: Cherry_ming <136634645@qq.com>
2026-03-16 15:09:56 +08:00

35 lines
1.0 KiB
Python

import unittest
from sglang.test.ascend.gsm8k_ascend_mixin import GSM8KAscendMixin
from sglang.test.ascend.test_ascend_utils import EXAONE_3_5_7_8B_INSTRUCT_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=False)
class TestEXAONE(GSM8KAscendMixin, CustomTestCase):
"""Testcase: Verify that the inference accuracy of the LGAI-EXAONE/EXAONE-3.5-7.8B-Instruct model on the GSM8K dataset is no less than 0.8.
[Test Category] Model
[Test Target] LGAI-EXAONE/EXAONE-3.5-7.8B-Instruct
"""
model = EXAONE_3_5_7_8B_INSTRUCT_WEIGHTS_PATH
# Allow 1% tolerance for the accuracy threshold
accuracy = round(0.8 * 0.99, 3)
other_args = [
"--trust-remote-code",
"--mem-fraction-static",
"0.8",
"--attention-backend",
"ascend",
"--disable-cuda-graph",
"--dtype",
"bfloat16",
]
if __name__ == "__main__":
unittest.main()