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config(minimaxm3): refresh full GB200 aggregate AgentX curve / 刷新完整 GB200 聚合 AgentX 曲线 - #2806

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minimaxm3-fp4-gb200-dynamo-vllm-agentic-agg-mtp-curve-update
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config(minimaxm3): refresh full GB200 aggregate AgentX curve / 刷新完整 GB200 聚合 AgentX 曲线#2806
RohitNagraj wants to merge 4 commits into
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minimaxm3-fp4-gb200-dynamo-vllm-agentic-agg-mtp-curve-update

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@RohitNagraj

@RohitNagraj RohitNagraj commented Sep 2, 2026

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Description

Refresh the complete MiniMax-M3 NVFP4 GB200 aggregate Dynamo-vLLM AgentX configuration so the full sweep covers every configured concurrency point. Use the mounted Hugging Face cache for the TP4 SimpleCPU-offload backend and the committed thinking-on MiniMax-M3 EAGLE3-GQA acceptance target.

中文说明

刷新完整的 MiniMax-M3 NVFP4 GB200 聚合 Dynamo-vLLM AgentX 配置,使完整扫描覆盖所有已配置的并发点。TP4 SimpleCPU 卸载后端使用已挂载的 Hugging Face 缓存,并采用仓库中已提交的 MiniMax-M3 thinking-on EAGLE3-GQA 接受长度目标。

Related Issue

N/A

Type of Change

  • Bug fix
  • New feature
  • Configuration change
  • Documentation update
  • Other (please describe)

Checklist

  • I have tested my changes locally
  • I have updated documentation if necessary
  • For every change that can affect benchmark performance and every recipe addition or modification, I have appended a new entry to the physical end of perf-changelog.yaml and have not edited historical entries
  • Before merging via reuse, an authorized maintainer (OWNER/MEMBER/COLLABORATOR) has commented /reuse-sweep-run on this PR. Do this only once there is a final full sweep that is all green with evals passing, since after this comment the sweep label will no longer automatically kick off new sweeps. Remove and re-add the label to force one.

Note

Low Risk
Benchmark recipe and changelog-only changes with no application logic or security impact.

Overview
Updates the GB200 TP4 aggregate Dynamo-vLLM SimpleCPU-offload agentic recipe (agg-tp4-vllm-simple-agentic.yaml) so aggregated_environment sets HF_HUB_CACHE, HUGGINGFACE_HUB_CACHE, and TRANSFORMERS_CACHE to /hf_hub_cache, aligning model download/cache behavior with other MiniMax-M3 agentic recipes that use the mounted hub cache.

Adds a perf-changelog.yaml entry for minimaxm3-fp4-gb200-dynamo-vllm-agentic-agg-mtp (agentic-coding) documenting a refresh of that aggregate AgentX configuration, including the HF cache change and the committed thinking-on EAGLE3-GQA acceptance target.

Reviewed by Cursor Bugbot for commit d8d4221. Bugbot is set up for automated code reviews on this repo. Configure here.

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github-actions Bot commented Sep 2, 2026

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Thanks for the contribution! Please reach out to respective companies' CODEOWNER to fill in the latest PR_REVIEW_CHECKLIST.md before pinging core maintainer on Slack for review. In order for the signoff PR check bot to trigger, you must follow the PR_REVIEW_CHECKLIST.md template correctly, including the phrase As a PR reviewer and CODEOWNER, I have reviewed this and have.

For PR verification, add the full-sweep-fail-fast label (strongly recommended) to this PR — the benchmark sweep only runs on labeled PRs. Use full-sweep-enabled only if you need matrix jobs to keep running past a failure.

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. See GitHub's docs on re-running failed jobs


感谢你的贡献!请联系相应公司的 CODEOWNER 填写最新的 PR_REVIEW_CHECKLIST.md,然后再在 Slack 上联系核心维护者进行审阅。为了触发 signoff PR 检查机器人,你必须正确遵循 PR_REVIEW_CHECKLIST.md 模板,包括保留英文语句 As a PR reviewer and CODEOWNER, I have reviewed this and have

如需进行 PR 验证,请为此 PR 添加 full-sweep-fail-fast 标签(强烈推荐)— 基准测试 sweep 仅在带有标签的 PR 上运行。仅当需要矩阵任务在失败后继续运行时才使用 full-sweep-enabled

PR 作者有责任确保合并后所有 GitHub Action 任务完全通过。 很多时候失败只是偶发抖动(flake),重新运行失败的任务即可解决。参见 GitHub 关于重新运行失败任务的文档

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github-actions Bot commented Sep 2, 2026

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Thanks for the contribution! Please reach out to respective companies' CODEOWNER to fill in the latest PR_REVIEW_CHECKLIST.md before pinging core maintainer on Slack for review. In order for the signoff PR check bot to trigger, you must follow the PR_REVIEW_CHECKLIST.md template correctly, including the phrase As a PR reviewer and CODEOWNER, I have reviewed this and have.

For PR verification, add the full-sweep-fail-fast label (strongly recommended) to this PR — the benchmark sweep only runs on labeled PRs. Use full-sweep-enabled only if you need matrix jobs to keep running past a failure.

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. See GitHub's docs on re-running failed jobs


感谢你的贡献!请联系相应公司的 CODEOWNER 填写最新的 PR_REVIEW_CHECKLIST.md,然后再在 Slack 上联系核心维护者进行审阅。为了触发 signoff PR 检查机器人,你必须正确遵循 PR_REVIEW_CHECKLIST.md 模板,包括保留英文语句 As a PR reviewer and CODEOWNER, I have reviewed this and have

如需进行 PR 验证,请为此 PR 添加 full-sweep-fail-fast 标签(强烈推荐)— 基准测试 sweep 仅在带有标签的 PR 上运行。仅当需要矩阵任务在失败后继续运行时才使用 full-sweep-enabled

PR 作者有责任确保合并后所有 GitHub Action 任务完全通过。 很多时候失败只是偶发抖动(flake),重新运行失败的任务即可解决。参见 GitHub 关于重新运行失败任务的文档

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Cursor Bugbot has reviewed your changes using default effort and found 1 potential issue.

Fix All in Cursor

❌ Bugbot Autofix is OFF. To automatically fix reported issues with cloud agents, enable autofix in the Cursor dashboard.

Reviewed by Cursor Bugbot for commit d2bcf37. Configure here.

Comment thread configs/nvidia-master.yaml Outdated
更新 MiniMax-M3 GB200 聚合配置,仅保留 SimpleCPU 卸载配方,并使用已提交的 thinking-on EAGLE3-GQA 接受长度。
@RohitNagraj
RohitNagraj force-pushed the minimaxm3-fp4-gb200-dynamo-vllm-agentic-agg-mtp-curve-update branch from d2bcf37 to e0c832a Compare September 2, 2026 17:23
将 MiniMax-M3 GB200 聚合 AgentX 配置与仓库中已提交的 EAGLE3-GQA thinking-on 接受长度保持一致。
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为 MiniMax-M3 GB200 聚合式 AgentX 后端启用已挂载的 Hugging Face 缓存,避免投机解码草稿模型重复下载。
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恢复 MiniMax-M3 GB200 聚合 AgentX 的完整配置矩阵,使完整扫描覆盖所有已配置的并发点。
@RohitNagraj RohitNagraj changed the title config(minimaxm3): retain GB200 aggregate SimpleCPU-offload recipes / 保留 GB200 聚合 SimpleCPU 卸载配方 config(minimaxm3): refresh full GB200 aggregate AgentX curve / 刷新完整 GB200 聚合 AgentX 曲线 Sep 2, 2026
@RohitNagraj

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Closing because aggregate runtime changes are not part of the retained contribution; the complete disaggregated curve continues in #2807.

关闭此 PR,因为保留的贡献不包含聚合运行时变更;完整的解耦曲线工作继续在 #2807 中进行。

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