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Add fused MOE config for Qwen3 30B A3B on B200 #19455
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Signed-off-by: Junhao Li <junhao@ubicloud.com>
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Thanks for submitting the PR. If you can add the concrete command to the test plan, that will be great.
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@houseroad Updated. |
Thanks! |
Signed-off-by: Junhao Li <junhao@ubicloud.com> Signed-off-by: minpeter <kali2005611@gmail.com>
Signed-off-by: Junhao Li <junhao@ubicloud.com>
Signed-off-by: Junhao Li <junhao@ubicloud.com> Signed-off-by: avigny <47987522+avigny@users.noreply.github.com>
Signed-off-by: Junhao Li <junhao@ubicloud.com>
Essential Elements of an Effective PR Description Checklist
supported_models.md
andexamples
for a new model.Purpose
Improve the performance of Qwen3 30B A3B on B200.
The config is produced with
python3 benchmarks/kernels/benchmark_moe.py --tune --model Qwen/Qwen3-30B-A3B-FP8 --dtype fp8_w8a8 -tp 1
Test Plan
I used
vllm serve Qwen/Qwen3-30B-A3B-FP8 --served-model-name foo
for starting the server andpython3 benchmarks/benchmark_serving.py --backend vllm --dataset-name sharegpt --dataset-path ../ShareGPT_V3_unfiltered_cleaned_split.json --model foo --base-url http://localhost:8000 --endpoint /v1/completions --tokenizer Qwen/Qwen3-30B-A3B-FP8 --num-prompts 2000 --max-concurrency 200 --request_rate 100
for starting the benchmark.Test Result
Before: 30.33 req/s
After: 40.53 req/s
(Optional) Documentation Update