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sglang/test/registered/ascend/llm_models/test_ascend_exaone_3.py
Sugar920 c781db0f6c [NPU] update nightly tests (#17952)
Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com>
Co-authored-by: cy <chenyang08056032@163.com>
2026-02-03 00:13:30 +08:00

34 lines
978 B
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=True)
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
accuracy = 0.8
other_args = [
"--trust-remote-code",
"--mem-fraction-static",
"0.8",
"--attention-backend",
"ascend",
"--disable-cuda-graph",
"--dtype",
"bfloat16",
]
if __name__ == "__main__":
unittest.main()