long-context-attention
USP: Unified (a.k.a. Hybrid, 2D) Sequence Parallel Attention for Long Context Transformers Model Training and Inference
feifeibear/long-context-attention
View on GitHub ↗USP: Unified (a.k.a. Hybrid, 2D) Sequence Parallel Attention for Long Context Transformers Model Training and Inference
long-context-attention grew +0.1% in the last 30 days, ranks 189th of 494 in Local Runtime / Inference Engine, last commit 39 days ago.
Star trajectory
125 days tracked2026-06-21696 stars today2026-10-25
Momentum
+0.1% in 30d, below the Local Runtime / Inference Engine median of +1.7%.
Maintenance
Last commit 39 days ago, staler than the median of 5d.
How it compares in Local Runtime / Inference Engine
long-context-attention
696
stars
+0.1% 30d
commit 39 days ago
Local Runtime / Inference Engine median
414
stars
+1.7% 30d
commit ~5d ago
Leader · ollama
184.7k
stars
+1.7% 30d
commit today
Ranked 189th of 494 by stars.
Avarok-Cybersecurity/atlas712-16stoyan-stoyanov/llmflows708-12
feifeibear/long-context-attention696
openyak/openyak694+2cobanov/PS5LM692+4- Language
- Python
- License
- Apache License 2.0
- Contributors
- 27
- Forks
- 87
- Watchers
- 5
- Open issues
- 11
- Releases
- 18
- Created
- 2024-03-27
- Stars this week
- +0
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