Add Kimi K2.5 1T INT4 vLLM benchmark for B200#735
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Add Kimi K2.5 1T INT4 vLLM benchmark for B200#735functionstackx wants to merge 6 commits intomainfrom
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- Add kimik2.5-int4-mi355x-vllm config to amd-master.yaml - Image: vllm/vllm-openai-rocm:v0.15.1 (per Andy Luo's recipe) - Model: moonshotai/Kimi-K2.5 with --mm-encoder-tp-mode data - TP=8, concurrency 4-64 for 1k1k, 1k8k, 8k1k - No AITER env vars, no --no-enable-prefix-caching Closes #723 Co-authored-by: functionstackx <functionstackx@users.noreply.github.com>
Co-authored-by: functionstackx <functionstackx@users.noreply.github.com>
The flag is not recognized by vllm v0.15.1 and causes the server to fail on startup. Co-authored-by: functionstackx <functionstackx@users.noreply.github.com>
The benchmark_serving.py script already accepts --trust-remote-code but benchmark_lib.sh's run_benchmark_serving() function wasn't passing it through. This caused tokenizer loading failures for models like Kimi-K2.5 that require trust_remote_code=True. - Add --trust-remote-code flag parsing in run_benchmark_serving() - Pass the flag through to benchmark_serving.py when set - Enable --trust-remote-code in the Kimi-K2.5 benchmark script Co-authored-by: functionstackx <functionstackx@users.noreply.github.com>
- Create benchmarks/kimik2.5_int4_b200.sh with --trust-remote-code on both vllm serve and run_benchmark_serving - Add kimik2.5-int4-b200-vllm config to nvidia-master.yaml - Update perf-changelog.yaml with new entry Image: vllm/vllm-openai:v0.15.1 Model: moonshotai/Kimi-K2.5, TP=8, concurrency 4-64 Flags: --mm-encoder-tp-mode data, --trust-remote-code Closes #727 Co-authored-by: functionstackx <functionstackx@users.noreply.github.com>
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/sweep |
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@functionstackx Kicking off a sweep. Run: https://github.com/SemiAnalysisAI/InferenceX/actions/runs/22127197803 |
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/sweep test-config --config-keys kimik2.5-int4-b200-vllm --runner-config .github/configs/runners.yaml --config-files .github/configs/nvidia-master.yaml |
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Summary
Closes #727
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