49b850270f
I'd like to nominate 4 new maintainers for vllm-ascend: ---- Yizhou Liu [@yiz-liu](https://github.com/yiz-liu) ---- **Review Quality**: He has completed [40+ reviews](https://github.com/vllm-project/vllm-ascend/pulls?q=is%3Apr+commenter%3Ayiz-liu) and provided solutions or guides for [10+ issues](https://github.com/vllm-project/vllm-ascend/issues?q=is%3Aissue%20commenter%3Ayiz-liu), which includes many quality review like [#issue-3428408401](https://github.com/vllm-project/vllm-ascend/issues/3002#issue-3428408401), [#discussion_r2224572309](https://github.com/vllm-project/vllm-ascend/pull/1803#discussion_r2224572309), [#issuecomment-2982470226](https://github.com/vllm-project/vllm-ascend/pull/1261#issuecomment-2982470226), [#issuecomment-2903621197](https://github.com/vllm-project/vllm-ascend/pull/836#issuecomment-2903621197), [#issuecomment-2857678691](https://github.com/vllm-project/vllm-ascend/issues/778#issuecomment-2857678691). **Sustained and High-Quality Contributions:** He has contributed more than [30+ commits](https://github.com/vllm-project/vllm-ascend/commits?author=yiz-liu) since Mar.2025, especially, aclgraph, DP, and EP related contributions are the main reason why I nominated him. As the owner of aclgraph support, he continuously improves aclgraph stability and performance as well as fixes key bugs. he laid the groundwork for EP-related functionality and delivered multiple foundational improvements **Community involvement:** He has a very good habit of logging issues：https://github.com/vllm-project/vllm-ascend/issues/1649 and is also very active and involved in [many issues](https://github.com/vllm-project/vllm-ascend/issues?q=is%3Aissue%20state%3Aopen%20commenter%3Ayiz-liu%20-author%3Ayiz-liu) to help users resolve issues. ---- Peng Yu [@paulyu12](https://github.com/paulyu12) --- The main reasons for his nomination are his expertise and key contributions to the LORA and sustained and major contributions (initial support/doc/bugfix) around Lora. **Sustained and Major Contributions:** @paulyu12 starts his contribution with [Lora and Mulit-Lora support](697908f5cd) since Apr 2025, he contributed about [10+ commits and bugfixes](697908f5cd) on vllm-ascend. **Review Quality and Community Involvement:** He also helped more than 10+ users address [Lora related issues](https://github.com/vllm-project/vllm-ascend/pulls?q=is%3Apr+commenter%3Apaulyu12+-author%3Apaulyu12+is%3Aclosed). I believe his addition will further improve vLLM Ascend Lora support. ---- Jinqian Wei [@weijinqian0](https://github.com/weijinqian0) --- The main reasons for his nomination are his key contributions to the RL scene and the high quality of his code reviews. **Review Quality:** He has completed [60+ reviews](https://github.com/vllm-project/vllm-ascend/pulls?q=is%3Apr+commenter%3Aweijinqian0+is%3Aopen+-author%3Aweijinqian0) since June. 2025, include [#comment-3284055430](https://github.com/vllm-project/vllm-ascend/pull/2791#issuecomment-3284055430), [discussion_r2332166704](https://github.com/vllm-project/vllm-ascend/pull/2817#discussion_r2332166704), [discussion_r2343289692](https://github.com/vllm-project/vllm-ascend/pull/2846#discussion_r2343289692) high quality review. **Sustained and Quality Contributions:** He has Deep understanding of vLLM and vLLM Ascend codebases and solid contributions in RL scene (about [10+ PR merged](https://github.com/vllm-project/vllm-ascend/pulls?q=is%3Apr+author%3Aweijinqian0+is%3Amerged+) and 10+ PRs merged as co-author. - Code Refactor: As a co-author, he participated in the refactoring of the MOE module https://github.com/vllm-project/vllm-ascend/pull/2150 https://github.com/vllm-project/vllm-ascend/pull/2706 https://github.com/vllm-project/vllm-ascend/pull/2867 - Performance Enhancement for RL: Participated as a co-author in the design and development of the solution, contributing to the planning of core capabilities. https://github.com/vllm-project/vllm-ascend/pull/1547 https://github.com/vllm-project/vllm-ascend/pull/2120 and so on. So I think he's a great addition to the vLLM Ascend Maintainer team. ---- Chuanyu Qin [@nalinaly](https://github.com/nalinaly) --- The main reason I nominated Qinchuanyu is because he is the initial designer of aclgraph and torch-npu, two key components of vllm-ascend. Considering aclgraph will eventually become the main path for vllm-ascend's graph model, I propose to nominate him. **Sustained and Major Contributions:** In fact, chuanyu actively helped the users/developers of vllm-ascend since Mar 2025 ([vllm-discuss#162](https://discuss.vllm.ai/t/can-ascend-officially-draft-a-documentation-on-the-vllm-ascend-adaptation-for-graph-mode/162/5)), and also helped early users of vllm-ascend understand aclgraph. He provided lots of help in the process of integrating aclgraph with vllm-ascend. **Community Involvement:** As speaker, he also presents help users understand aclgraph and torch_npu [《The design philosophy of torch_npu and the high performance principle of aclGraph》](https://github.com/PyTorch-China/pytorch-meetup/blob/main/beijing-2025/%E3%80%905%E3%80%91torch_npu%20%E7%9A%84%E8%AE%BE%E8%AE%A1%E5%93%B2%E5%AD%A6%E4%B8%8E%20aclGraph%20%E9%AB%98%E6%80%A7%E8%83%BD%E5%8E%9F%E7%90%86-%E7%A7%A6%E4%BC%A0%E7%91%9C-0920.pdf) ---- They have activate contribution to vllm-ascend or have rich experience for ascend AI. Welcome! - vLLM version: v0.11.0rc3 - vLLM main: https://github.com/vllm-project/vllm/commit/v0.11.0 Signed-off-by: wangxiyuan <wangxiyuan1007@gmail.com>
vLLM Ascend Plugin
| About Ascend | Documentation | #sig-ascend | Users Forum | Weekly Meeting |
English | 中文
Latest News 🔥
- [2025/09] We released the new official version v0.9.1! Please follow the official guide to start deploy large scale Expert Parallelism (EP) on Ascend.
- [2025/08] We hosted the vLLM Beijing Meetup with vLLM and Tencent! Please find the meetup slides here.
- [2025/06] User stories page is now live! It kicks off with LLaMA-Factory/verl//TRL/GPUStack to demonstrate how vLLM Ascend assists Ascend users in enhancing their experience across fine-tuning, evaluation, reinforcement learning (RL), and deployment scenarios.
- [2025/06] Contributors page is now live! All contributions deserve to be recorded, thanks for all contributors.
- [2025/05] We've released first official version v0.7.3! We collaborated with the vLLM community to publish a blog post sharing our practice: Introducing vLLM Hardware Plugin, Best Practice from Ascend NPU.
- [2025/03] We hosted the vLLM Beijing Meetup with vLLM team! Please find the meetup slides here.
- [2025/02] vLLM community officially created vllm-project/vllm-ascend repo for running vLLM seamlessly on the Ascend NPU.
- [2024/12] We are working with the vLLM community to support [RFC]: Hardware pluggable.
Overview
vLLM Ascend (vllm-ascend) is a community maintained hardware plugin for running vLLM seamlessly on the Ascend NPU.
It is the recommended approach for supporting the Ascend backend within the vLLM community. It adheres to the principles outlined in the [RFC]: Hardware pluggable, providing a hardware-pluggable interface that decouples the integration of the Ascend NPU with vLLM.
By using vLLM Ascend plugin, popular open-source models, including Transformer-like, Mixture-of-Expert, Embedding, Multi-modal LLMs can run seamlessly on the Ascend NPU.
Prerequisites
- Hardware: Atlas 800I A2 Inference series, Atlas A2 Training series, Atlas 800I A3 Inference series, Atlas A3 Training series, Atlas 300I Duo (Experimental)
- OS: Linux
- Software:
- Python >= 3.9, < 3.12
- CANN >= 8.2.rc1 (Ascend HDK version refers to here)
- PyTorch >= 2.7.1, torch-npu >= 2.7.1.dev20250724
- vLLM (the same version as vllm-ascend)
Getting Started
Please use the following recommended versions to get started quickly:
| Version | Release type | Doc |
|---|---|---|
| v0.11.0rc0 | Latest release candidate | QuickStart and Installation for more details |
| v0.9.1 | Latest stable version | QuickStart and Installation for more details |
Contributing
See CONTRIBUTING for more details, which is a step-by-step guide to help you set up development environment, build and test.
We welcome and value any contributions and collaborations:
- Please let us know if you encounter a bug by filing an issue
- Please use User forum for usage questions and help.
Branch
vllm-ascend has main branch and dev branch.
- main: main branch，corresponds to the vLLM main branch, and is continuously monitored for quality through Ascend CI.
- vX.Y.Z-dev: development branch, created with part of new releases of vLLM. For example,
v0.7.3-devis the dev branch for vLLMv0.7.3version.
Below is maintained branches:
| Branch | Status | Note |
|---|---|---|
| main | Maintained | CI commitment for vLLM main branch and vLLM v0.11.0 tag |
| v0.7.1-dev | Unmaintained | Only doc fixed is allowed |
| v0.7.3-dev | Maintained | CI commitment for vLLM 0.7.3 version, only bug fix is allowed and no new release tag any more. |
| v0.9.1-dev | Maintained | CI commitment for vLLM 0.9.1 version |
| rfc/feature-name | Maintained | Feature branches for collaboration |
Please refer to Versioning policy for more details.
Weekly Meeting
- vLLM Ascend Weekly Meeting: https://tinyurl.com/vllm-ascend-meeting
- Wednesday, 15:00 - 16:00 (UTC+8, Convert to your timezone)
License
Apache License 2.0, as found in the LICENSE file.