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 6, 09:30 UTC
[ROCm][CI] Update GSM8K eval config to use fp8-and-mixed models list (#37619)
Signed-off-by: Andreas Karatzas <akaratza@amd.com>
Andreas Karatzas committed
Mar 20, 2026 at 04:06 UTC
9cfd4ebb5eaac58724652517e316302e8fd597e6
2 files changed
+1
-1
.buildkite/test-amd.yaml
+1
-1
@@ -2667,7 +2667,7 @@ steps:
2667
- vllm/_aiter_ops.py
2668
- vllm/platforms/rocm.py
2669
commands:
2670
- - pytest -s -v evals/gsm8k/test_gsm8k_correctness.py --config-list-file=configs/models-mi3xx-fp8.txt
2670
+ - pytest -s -v evals/gsm8k/test_gsm8k_correctness.py --config-list-file=configs/models-mi3xx-fp8-and-mixed.txt
2671
2672
2673
- label: LM Eval Large Models (H200-MI325) # TBD