From 0f571c347b178d15b74583055701d0011d5def7d Mon Sep 17 00:00:00 2001 From: wangxiyuan Date: Thu, 18 Dec 2025 18:49:07 +0800 Subject: [PATCH] Nominate new maintainers @zzzzwwjj @realliujiaxu @LCAIZJ (#5152) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit I'd like to nominate @zzzzwwjj @realliujiaxu @LCAIZJ to join vLLM Ascend committer team. @zzzzwwjj --- - Review Quality‌: He has completed 80+reviews since April. 2025, include https://github.com/vllm-project/vllm-ascend/pull/3232#issuecomment-3506110786, https://github.com/vllm-project/vllm-ascend/pull/4822#discussion_r2601661204, https://github.com/vllm-project/vllm-ascend/pull/4768#issuecomment-3644795995 high quality review. - Sustained Contributions 15+ Valuable bug fix and refactor is very good. https://github.com/vllm-project/vllm-ascend/pulls?q=is%3Apr+author%3Azzzzwwjj+is%3Aclosed+review%3Aapproved Continuous optimization of code architecture https://github.com/vllm-project/vllm-ascend/pulls?q=author%3Azzzzwwjj+is%3Amerged - Quality Contribution‌: https://github.com/vllm-project/vllm-ascend/pull/1229 https://github.com/vllm-project/vllm-ascend/pull/1979 https://github.com/vllm-project/vllm-ascend/pull/4359 https://github.com/vllm-project/vllm-ascend/pull/4878 - Community Involvement‌: He lead the https://github.com/vllm-project/vllm-ascend/issues/1147, to refactor AscendFusedMoE at the first time. He shared topics about large-scale distributed inference and reinforcement learning on vLLM-Ascend meetup on August 2nd. @realliujiaxu --- - Review Quality‌: He has completed about [40+ reviews](https://github.com/vllm-project/vllm-ascend/pulls?q=is%3Apr+commenter%3Arealliujiaxu+-author%3Arealliujiaxu+) since September, include https://github.com/vllm-project/vllm-ascend/pull/4868#discussion_r2605549015, https://github.com/vllm-project/vllm-ascend/pull/2275#discussion_r2268455665. - Sustained Contributions He has completed (17 commits)[https://github.com/vllm-project/vllm-ascend/pulls?q=is%3Apr+author%3Arealliujiaxu+is%3Amerged], continuously optimizing the performance of the MoE model. - Quality Contribution‌: Contributed the Flash Comm1 feature to the community, supporting both eager and aclgraph execution modes, while compatible with multiple MoE models including DeepSeek and GLM4.5. - https://github.com/vllm-project/vllm-ascend/pull/3334 - https://github.com/vllm-project/vllm-ascend/pull/3420 - https://github.com/vllm-project/vllm-ascend/pull/3015 co-author: - https://github.com/vllm-project/vllm-ascend/pull/3495 - https://github.com/vllm-project/vllm-ascend/pull/4868 - Community Involvement‌: 1. Completed two major refactors, enabling vllm-ascend to evolve more rapidly and robustly: [Linear module](https://github.com/vllm-project/vllm-ascend/pull/2867) and [rejection sampler](https://github.com/vllm-project/vllm-ascend/pull/4975) 2. [fixed 8 bugs](https://github.com/vllm-project/vllm-ascend/pulls?q=is%3Apr+author%3Arealliujiaxu+is%3Amerged+bugfix+) in graph mode, spec decoding and async scheduling. @LCAIZJ --- - Review Quality‌: He's been the go-to reviewer for virtually all PD disaggregation and KV Pool related PRs, having completed [30+ reviews](https://github.com/vllm-project/vllm-ascend/pulls?q=is%3Apr+commenter%3ALCAIZJ+is%3Aopen+-author%3ALCAIZJ+) since May 2025. Notable examples include [discussion_r2553887360](https://github.com/vllm-project/vllm-ascend/pull/4345#discussion_r2553887360), [issuecomment-3540994801](https://github.com/vllm-project/vllm-ascend/pull/4161#issuecomment-3540994801), and [discussion_r2492593988](https://github.com/vllm-project/vllm-ascend/pull/3981#discussion_r2492593988), all demonstrating thorough and insightful feedback. - Sustained and Quality Contributions: His contributions reflect a strong grasp of both ‌vLLM‌ and ‌vLLM Ascend‌ codebases, particularly in prefill-decode disaggregation and KV pool areas ([7 PRs merged](https://github.com/vllm-project/vllm-ascend/pulls?q=is%3Apr+author%3ALCAIZJ+is%3Amerged+)). Prefill-Decode Disaggregation: Delivered KV transfer functionality using Mooncake TransferEngine and enabled layerwise KV transfer https://github.com/vllm-project/vllm-ascend/pull/1568 https://github.com/vllm-project/vllm-ascend/pull/2602 KV Pool: Developed the foundational KV Pool infrastructure and migrated it to the latest ADXL stack https://github.com/vllm-project/vllm-ascend/pull/2913 https://github.com/vllm-project/vllm-ascend/pull/3350 - Quality Contribution‌: https://github.com/vllm-project/vllm-ascend/pull/1568 https://github.com/vllm-project/vllm-ascend/pull/2602 https://github.com/vllm-project/vllm-ascend/pull/2913 https://github.com/vllm-project/vllm-ascend/pull/3350 - Community Involvement‌: He actively responds to [community issues](https://github.com/vllm-project/vllm-ascend/issues?q=is%3Aissue%20commenter%3ALCAIZJ%20is%3Aopen%20-author%3ALCAIZJ), continuously monitors functionality and accuracy issues related to PD disaggregation and KV Pool, and proactively delivers [bug fixes](https://github.com/vllm-project/vllm-ascend/pulls?q=is%3Apr+author%3ALCAIZJ+is%3Amerged+bugfix). - vLLM version: v0.12.0 - vLLM main: https://github.com/vllm-project/vllm/commit/ad32e3e19ccf0526cb6744a5fed09a138a5fb2f9 Signed-off-by: wangxiyuan --- docs/source/community/contributors.md | 3 +++ 1 file changed, 3 insertions(+) diff --git a/docs/source/community/contributors.md b/docs/source/community/contributors.md index 84985be1..2f8ca4ae 100644 --- a/docs/source/community/contributors.md +++ b/docs/source/community/contributors.md @@ -14,6 +14,9 @@ | Yizhou Liu| [@yiz-liu](https://github.com/yiz-liu) | 2025/10 | | Jinqian Wei | [@weijinqian0](https://github.com/weijinqian0) | 2025/10 | | Chuanyu Qin | [@nalinaly](https://github.com/nalinaly) | 2025/10 | +| Jie Wen| [@zzzzwwjj](https://github.com/zzzzwwjj) | 2025/12 | +| Chao Lei| [@LCAIZJ](https://github.com/LCAIZJ) | 2025/12 | +| JiaXu Liu| [@realliujiaxu](https://github.com/realliujiaxu) | 2025/12 | ## Contributors