STACKQUADRANT

feifeibear/long-context-attention

Fine-tuning Tools

USP: Unified (a.k.a. Hybrid, 2D) Sequence Parallel Attention for Long Context Transformers Model Training and Inference

5.8
GitHub Metrics
Stars
675
Forks
80
Open Issues
12
Watchers
5
Contributors
24
Weekly Commits
0
Language
Python
License
Apache-2.0
Last Commit
May 21, 2026
Created
Mar 27, 2024
Latest Release
0.6.4
Release Date
Jan 13, 2026
Synced: Jun 29, 2026
Quality Scores
Documentation Qualityw: 20%
4.7

No dedicated docs site. Description: 119 chars. Stars signal: 675. Contributors: 24. Score: 4.7/10

Community Healthw: 20%
5.0

Stars: 675. Contributors: 24. Watchers: 5. Forks: 80. Issue ratio: 1.8%. Score: 5/10

Maintenance Velocityw: 15%
6.3

Last commit: 39d ago. Weekly commits: 0. Latest release: 0.6.4. Maturity bonus: 2.3y old. Score: 6.3/10

API Design & DXw: 20%
6.7

Stars/issues ratio: 56. Dynamic language: Python. No dedicated API docs. Permissive license: Apache-2.0. Popularity signal: 675 stars. Score: 6.7/10

Production Readinessw: 15%
6.1

Battle-tested: 675 stars. Peer review: 24 contributors. Versioned: 0.6.4. Licensed: Apache-2.0. Age: 2.3 years. Maintenance: last commit 39d ago. Score: 6.1/10

Ecosystem Integrationw: 10%
6.5

Fork interest: 80. Major ecosystem: Python. Integration-friendly: Apache-2.0. Adoption: 675 stars. Score: 6.5/10

Tags
attention-is-all-you-needdeepspeed-ulyssesllm-inferencellm-trainingpytorchring-attention
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Documentation Quality
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API Design & DX
Production Readiness
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