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 documents
Live doc: https://vllm-ascend.readthedocs.io
Build the docs
# Install dependencies.
pip install -r requirements-docs.txt
# Build the docs.
make clean
make html
# Build the docs with translation
make intl
# Open the docs with your browser
python -m http.server -d _build/html/
Launch your browser and open:
- English version: http://localhost:8000
- Chinese version: http://localhost:8000/zh_CN