Zironic/h3-attention-breakpoint-10s
H3 sparse-attention breakpoints: FL2VA, Ref2VA, and Turbo This is a two-prompt visual stress test of the production 64 x 64 sparse-attention path in H3-Optimizations. It asks two different questions: How low can video attention go before obvious temporal or structural artifacts appear? How much attention is needed to preserve the same broad semantic trajectory as a 100% video-KV run with the same prompt and seed? Those are not the same threshold. A sparse result can look… See the full description on the dataset page: https://huggingface.co/datasets/Zironic/h3-attention-breakpoint-10s.
| Author / organization | Zironic |
|---|---|
| Downloads | 465 (as reported by Hugging Face) |
| Likes | 1 |
| Created | 28 August 2026 |
| Last updated at source | 28 August 2026 |
Popularity, last 2 days
465 now (-2 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.