feifeibear/long-context-attention
Fine-tuning ToolsUSP: Unified (a.k.a. Hybrid, 2D) Sequence Parallel Attention for Long Context Transformers Model Training and Inference
No dedicated docs site. Description: 119 chars. Stars signal: 696. Contributors: 27. Score: 4.8/10
Stars: 696. Contributors: 27. Watchers: 5. Forks: 87. Issue ratio: 2.2%. Score: 5.1/10
Last commit: 31d ago. Weekly commits: 0. Latest release: 0.6.4. Maturity bonus: 2.6y old. Score: 5.6/10
Stars/issues ratio: 46. Dynamic language: Python. No dedicated API docs. Permissive license: Apache-2.0. Popularity signal: 696 stars. Score: 6.4/10
Battle-tested: 696 stars. Peer review: 27 contributors. Versioned: 0.6.4. Licensed: Apache-2.0. Age: 2.6 years. Maintenance: last commit 31d ago. Score: 6.2/10
Fork interest: 87. Major ecosystem: Python. Integration-friendly: Apache-2.0. Adoption: 696 stars. Score: 6.6/10