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: 675. Contributors: 24. Score: 4.7/10
Stars: 675. Contributors: 24. Watchers: 5. Forks: 80. Issue ratio: 1.8%. Score: 5/10
Last commit: 39d ago. Weekly commits: 0. Latest release: 0.6.4. Maturity bonus: 2.3y old. Score: 6.3/10
Stars/issues ratio: 56. Dynamic language: Python. No dedicated API docs. Permissive license: Apache-2.0. Popularity signal: 675 stars. Score: 6.7/10
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
Fork interest: 80. Major ecosystem: Python. Integration-friendly: Apache-2.0. Adoption: 675 stars. Score: 6.5/10