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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.

sourceHugging Faceupdated 1mo agoView on Hugging Face
1likes900downloads
7 commits on main
971a6191mo ago

Add Turbo smart-ramp comparisons

Zironic
29bc2c41mo ago

Expand Turbo early scheduling results

Zironic
2347baf1mo ago

Rewrite dataset card

Zironic
a714bc71mo ago

Add evaluation prompts

Zironic
9c696201mo ago

Show both comparison prompts

Zironic
3dd61381mo ago

Add H3 attention breakpoint study

Zironic
11555391mo ago

initial commit

Zironic