QwenLM/FlashQLA
high-performance linear attention kernel library built on TileLang
Is QwenLM/FlashQLA beginner-friendly?
We have not seen enough recent pull requests from outside contributors to QwenLM/FlashQLA to say how often they are merged. 1 beginner-friendly issue is open now.
- Stars
- 722
- Forks
- 79
- Open beginner issues
- 1
- Indexed issues
- 6
- Dominant language
- Python
- License
- MIT
- Last GitHub push
- Sep 30, 2026
- Latest indexed
- Sep 19, 2026
- Contributing guide
- No contributing guide
- Code of conduct
- No code of conduct
- Beginner labels
- No beginner labels indexed
- PR merge metrics
- No merged PRs in 30d
How to contribute to QwenLM/FlashQLA
- There is no contributing guide, so start from the README and a few recently merged pull requests to see how changes are proposed.
- Your contributions will be published under the project's MIT license.
- Pick the open beginner-friendly issue below and comment that you want to work on it before you start.
Issues somebody may already be working on are listed last. List everything by date
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Difficulty 4/5 3-5 days Newbie friendliness 48/100
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Difficulty 2/5 1-3 hours Newbie friendliness 70/100
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Difficulty 3/5 1-2 days Newbie friendliness 55/100
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Difficulty 4/5 3-5 days Newbie friendliness 68/100
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Difficulty 4/5 3-5 days Newbie friendliness 48/100
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Difficulty 5/5 Over a week Newbie friendliness 20/100