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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 14, 05:30 UTC

[CI] Tweaks to GPT-OSS Eval (Blackwell) for stability (#26030)

Signed-off-by: mgoin <mgoin64@gmail.com>

Michael Goin committed Oct 1, 2025 at 15:02 UTC ee04c0cd04cfdf331168b5696a0411d1f8fc5fdf
2 files changed +3 -4
.buildkite/test-pipeline.yaml
+1 -1
@@ -845,7 +845,7 @@ steps:
845 - vllm/v1/attention/backends/flashinfer.py
846 commands:
847 - uv pip install --system 'gpt-oss[eval]==0.0.5'
848 - - pytest -s -v tests/evals/gpt_oss/test_gpqa_correctness.py --model openai/gpt-oss-20b --metric 0.58 --server-args '--tensor-parallel-size 2'
848 + - pytest -s -v tests/evals/gpt_oss/test_gpqa_correctness.py --model openai/gpt-oss-20b --metric 0.58
849
850 - label: Blackwell Quantized MoE Test
851 timeout_in_minutes: 60
tests/evals/gpt_oss/test_gpqa_correctness.py
+2 -3
@@ -26,7 +26,8 @@ def run_gpqa_eval(model_name: str, base_url: str) -> float:
26 # Build the command to run the evaluation
27 cmd = [
28 sys.executable, "-m", "gpt_oss.evals", "--eval", "gpqa", "--model",
29 - model_name, "--reasoning-effort", "low", "--base-url", base_url
29 + model_name, "--reasoning-effort", "low", "--base-url", base_url,
30 + "--n-threads", "200"
31 ]
32
33 try:
@@ -72,8 +73,6 @@ def test_gpqa_correctness(request):
73
74 # Add standard server arguments
75 server_args.extend([
75 - "--max-model-len",
76 - "32768",
76 "--trust-remote-code",
77 ])
78