USP: Unified (a.k.a. Hybrid, 2D) Sequence Parallel Attention for Long Context Transformers Model Training and Inference
feifeibear/long-context-attention holds a momentum score of 33/100 across the tracked cohort.
Low breakout odds over the next 14 days, no signal is above the cohort median. Confidence is high given the available history.
Transparent heuristic · logged for model training
Reconstructed from 163 snapshots — the time-series GitHub’s API doesn’t expose.
Live score, refreshed every 6 hours. Links back to this page.
[](https://repoclimb.com/repo/feifeibear/long-context-attention)Percentile rank within the tracked cohort. The score self-calibrates — it answers “accelerating vs. everything else,” not raw size.