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 7, 10:15 UTC
[CI] Temporarily Disable Nightly Failures (#35770)
Signed-off-by: Robert Shaw <robshaw@redhat.com> Signed-off-by: Robert Shaw <114415538+robertgshaw2-redhat@users.noreply.github.com> Co-authored-by: Robert Shaw <robshaw@redhat.com>
Robert Shaw committed
Mar 2, 2026 at 20:49 UTC
6521ccf2860eb72cf23a9fa9044bf9721fd9a7c6
4 files changed
+23
-23
.buildkite/test_areas/distributed.yaml
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@@ -146,7 +146,7 @@ steps:
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num_devices: 2
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commands:
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- pytest -v -s tests/distributed/test_context_parallel.py
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- - VLLM_ALLOW_INSECURE_SERIALIZATION=1 python3 examples/offline_inference/new_weight_syncing/rlhf_async_new_apis.py
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+ # - VLLM_ALLOW_INSECURE_SERIALIZATION=1 python3 examples/offline_inference/new_weight_syncing/rlhf_async_new_apis.py --- failing, need to re-enable
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- VLLM_USE_DEEP_GEMM=1 VLLM_LOGGING_LEVEL=DEBUG python3 examples/offline_inference/data_parallel.py --model=Qwen/Qwen1.5-MoE-A2.7B -tp=1 -dp=2 --max-model-len=2048 --all2all-backend=deepep_high_throughput
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- pytest -v -s tests/v1/distributed/test_dbo.py
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.buildkite/test_areas/lm_eval.yaml
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@@ -11,17 +11,17 @@ steps:
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commands:
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- pytest -s -v evals/gsm8k/test_gsm8k_correctness.py --config-list-file=configs/models-small.txt
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-- label: LM Eval Large Models (4 GPUs)(A100)
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- device: a100
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- optional: true
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- num_devices: 4
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- working_dir: "/vllm-workspace/.buildkite/lm-eval-harness"
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- source_file_dependencies:
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- - csrc/
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- - vllm/model_executor/layers/quantization
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- commands:
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- - export VLLM_WORKER_MULTIPROC_METHOD=spawn
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- - pytest -s -v test_lm_eval_correctness.py --config-list-file=configs/models-large.txt --tp-size=4
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+# - label: LM Eval Large Models (4 GPUs)(A100)
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+# device: a100
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+# optional: true
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+# num_devices: 4
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+# working_dir: "/vllm-workspace/.buildkite/lm-eval-harness"
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+# source_file_dependencies:
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+# - csrc/
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+# - vllm/model_executor/layers/quantization
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+# commands:
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+# - export VLLM_WORKER_MULTIPROC_METHOD=spawn
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+# - pytest -s -v test_lm_eval_correctness.py --config-list-file=configs/models-large.txt --tp-size=4
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- label: LM Eval Large Models (4 GPUs)(H100)
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device: h100
.buildkite/test_areas/weight_loading.yaml
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@@ -13,13 +13,13 @@ steps:
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commands:
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- bash weight_loading/run_model_weight_loading_test.sh -c weight_loading/models.txt
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-- label: Weight Loading Multiple GPU - Large Models # optional
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- working_dir: "/vllm-workspace/tests"
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- num_devices: 2
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- device: a100
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- optional: true
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- source_file_dependencies:
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- - vllm/
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- - tests/weight_loading
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- commands:
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- - bash weight_loading/run_model_weight_loading_test.sh -c weight_loading/models-large.txt
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+# - label: Weight Loading Multiple GPU - Large Models # optional
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+# working_dir: "/vllm-workspace/tests"
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+# num_devices: 2
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+# device: a100
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+# optional: true
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+# source_file_dependencies:
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+# - vllm/
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+# - tests/weight_loading
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+# commands:
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+# - bash weight_loading/run_model_weight_loading_test.sh -c weight_loading/models-large.txt
tests/evals/gsm8k/configs/moe-refactor/config-h100.txt
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@@ -12,4 +12,4 @@ Llama-4-Scout-Fp8-ModelOpt-fi-cutlass.yaml
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Llama-4-Scout-Fp8-ModelOpt-marlin.yaml
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Llama-4-Scout-Fp8-ModelOpt-triton.yaml
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Qwen3-30B-A3B-BF16-fi-cutlass.yaml
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-Qwen3-30B-A3B-BF16-triton.yaml
\ No newline at end of file
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+Qwen3-30B-A3B-BF16-triton.yaml