[codex] Update MiniMax M3 B200 EAGLE3 FlashInfer image#1832
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Thanks for the contribution! For vLLM & SGLang, please ensure that your recipes is similar to the official vLLM recipes and/or the SGLang cookbook If it is not, please create a PR first before we can merge your single node PR into the master branch. Let's ensure that the documentation is first class such that the entire ML community can benefit from your hard work! Thank you PR authors are responsible for ensuring that after merging, all GitHub Action jobs fully pass. A lot of the time, failures are just flakes and simply re-running the failed jobs will fix it. If re-running failed jobs is attempted, PR authors are responsible for ensuring it passes. See GitHub's docs on re-running failed jobs: https://docs.github.com/en/actions/how-tos/manage-workflow-runs/re-run-workflows-and-jobs#re-running-failed-jobs-in-a-workflow As a rule of thumb, generally, PR authors should request a review & get a PR approval from the respective companies' CODEOWNERS before requesting a review from core maintainers. If additional help is needed, PR authors can reach out to core maintainers over Slack. |
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see unofficial run visualizer at https://inferencex.semianalysis.com/inference?unofficialRun=27792967781 |
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see unofficial run visualizer at https://inferencex.semianalysis.com/inference?unofficialRun=27796128080 |
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see unofficial run visualizer at https://inferencex.semianalysis.com/inference?unofficialRun=27805369633 |
5 similar comments
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see unofficial run visualizer at https://inferencex.semianalysis.com/inference?unofficialRun=27805369633 |
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see unofficial run visualizer at https://inferencex.semianalysis.com/inference?unofficialRun=27805369633 |
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see unofficial run visualizer at https://inferencex.semianalysis.com/inference?unofficialRun=27805369633 |
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see unofficial run visualizer at https://inferencex.semianalysis.com/inference?unofficialRun=27805369633 |
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see unofficial run visualizer at https://inferencex.semianalysis.com/inference?unofficialRun=27805369633 |
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/reuse-sweep-run |
Summary
minimaxm3-fp8-b200-vllm-mtptovllm/vllm-openai:minimax-m3-0618TRITON_ATTNfor the EAGLE3 drafter and the image's default FlashInfer TRT-LLM MoE backendValidation
bash -nNote
Medium Risk
Benchmark-only changes, but they alter attention/MoE backends and patch installed vLLM at job start—incorrect flags or patch anchors would break engine init on B200 MTP sweeps.
Overview
Brings
minimaxm3-fp8-b200-vllm-mtpin line with the non-MTP B200 0618 vLLM image: CI image tag, benchmark serve flags, and docs/changelog.The MTP benchmark script now uses FlashInfer TRT-LLM attention with FP8 indexer KV and KV cache, drops explicit Marlin MoE on TP-only runs (image default MoE), and applies the same runtime MSA prefill
.contiguous()patch onsparse_attention_msa.pyas the base B200 recipe. The EAGLE3 draft head attention backend changes fromFLASH_ATTNtoTRITON_ATTNso spec decode matches the new target stack.Reviewed by Cursor Bugbot for commit 6e6fdc9. Bugbot is set up for automated code reviews on this repo. Configure here.