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A high-throughput and memory-efficient inference and serving engine for LLMs

Mirrored from https://github.com/tduncan-lum/Nvidia-Optimization-Stack---VLLM.git

Synced Nov 4, 00:00 UTC

[CI/Build] Use modelscope's international site for regression test (#42176)

Signed-off-by: Isotr0py <mozf@mail2.sysu.edu.cn>

Isotr0py committed May 10, 2026 at 10:47 UTC 1029e5ef282ec4f705de99b91418e956c835c315
1 file changed +2 -1
tests/test_regression.py
+2 -1
@@ -56,9 +56,10 @@ def test_gc():
56
57
58 def test_model_from_modelscope(monkeypatch: pytest.MonkeyPatch):
59 - # model: https://modelscope.cn/models/qwen/Qwen1.5-0.5B-Chat/summary
59 + # model: https://www.modelscope.ai/models/qwen/Qwen1.5-0.5B-Chat
60 with monkeypatch.context() as m:
61 m.setenv("VLLM_USE_MODELSCOPE", "True")
62 + m.setenv("MODELSCOPE_DOMAIN", "www.modelscope.ai")
63 # Don't use HF_TOKEN for ModelScope repos, otherwise it will fail
64 # with 400 Client Error: Bad Request.
65 m.setenv("HF_TOKEN", "")