6335fe39ea
I would like to nominate Wengang Chen (@ApsarasX https://github.com/ApsarasX) as a maintainer, starting with my +1. ## Reason Review Quality: He focuses on the vLLM Ascend Core module review with 100+ high quality review, such as [#2326 (comment)](https://github.com/vllm-project/vllm-ascend/pull/2326#discussion_r2268509365), [#768 (comment)](https://github.com/vllm-project/vllm-ascend/pull/768#discussion_r2075278516), [#2312 (comment)](https://github.com/vllm-project/vllm-ascend/pull/2312#issuecomment-3174677159), [#2268 (comment)](https://github.com/vllm-project/vllm-ascend/pull/2268#discussion_r2260920578), [#2192 (comment)](https://github.com/vllm-project/vllm-ascend/pull/2192#issuecomment-3149414586), [#2156 (comment)](https://github.com/vllm-project/vllm-ascend/pull/2156#discussion_r2249096673). This helped vLLM Ascend v0.9.x and v0.10.x to be released with high quality. Sustained and Quality Contributions: He has a very good habit of sharing his design ideas, development process, performance test results, such as [#966](https://github.com/vllm-project/vllm-ascend/pull/966), he contributed [many PRs](https://github.com/vllm-project/vllm-ascend/pulls?q=is%3Apr+author%3AApsarasX+is%3Amerged+), valuable bugfixes and also perf improvements. Community Involvement: Active involved in community discussion, he is collaborative and helps the users solve problems, involved in [120+ PR and issues](https://github.com/vllm-project/vllm-ascend/issues?q=commenter%3AApsarasX). He is also the speaker of [vLLM Beijing Meetup](https://mp.weixin.qq.com/s/7n8OYNrCC_I9SJaybHA_-Q). So I think he's a great addition to the vLLM Ascend Maintainer team. - ✅Review Quality: 108+ PR with valuable review https://github.com/vllm-project/vllm-ascend/pulls?q=commenter%3AApsarasX with many valuable review, like https://github.com/vllm-project/vllm-ascend/pull/2326#discussion_r2268509365 https://github.com/vllm-project/vllm-ascend/pull/768#discussion_r2075278516 https://github.com/vllm-project/vllm-ascend/pull/2312#issuecomment-3174677159 https://github.com/vllm-project/vllm-ascend/pull/2268#discussion_r2260920578 https://github.com/vllm-project/vllm-ascend/pull/2192#issuecomment-3149414586 https://github.com/vllm-project/vllm-ascend/pull/2156#discussion_r2249096673 - ✅ Sustained and Major Contributions https://github.com/vllm-project/vllm-ascend/pulls/ApsarasX - ✅ Quality Contribution: https://github.com/vllm-project/vllm-ascend/pulls?q=is%3Apr+author%3AApsarasX+is%3Aclosed Good quality with well documents [Perf] Refactor tensor disposal logic to reduce memory usage https://github.com/vllm-project/vllm-ascend/pull/966 - ✅Community Involvement: 7 issue: https://github.com/vllm-project/vllm-ascend/issues?q=is%3Aissue%20state%3Aclosed%20author%3AApsarasX - 120+ PR and issue: https://github.com/vllm-project/vllm-ascend/issues?q=commenter%3AApsarasX Signed-off-by: wangxiyuan <wangxiyuan1007@gmail.com>
vLLM Ascend Plugin
| About Ascend | Documentation | #sig-ascend | Users Forum | Weekly Meeting |
English | 中文
Latest News 🔥
- [2025/06] 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
- 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 |
|---|---|---|
| v0.10.0rc1 | Latest release candidate | QuickStart and Installation for more details |
| v0.9.1rc2 | Next stable release | QuickStart and Installation for more details |
| v0.7.3.post1 | 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 0.10.x branch |
| 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 |
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.