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xlite-dev

xlite-dev/ffpa-attn

PythonApache-2.0active
88Health

Fast and Memory-Efficient Exact Attention for Large Headdim, 1.5x~6x speedup over PyTorch SDPA.

Stars322
Forks25
Open Issues7
Contributors25
Last Push0d ago

Health Breakdown

Activity
25
Community
25
Maintenance
13
Popularity
25
#cuda#flash-attention#gemma-4#gemma4#large-headdim#tensor-cores
View on GitHub ↗Issues (7) ↗Pull Requests ↗Wiki ↗

Should you contribute to xlite-dev/ffpa-attn?

xlite-dev/ffpa-attn has a FoundDev health score of 88/100, which puts it in the active-and-maintained tier. The maintainer team is shipping recently, issues are being closed, and a PR you open this week has a realistic chance of being reviewed.

Last push was 0 days ago — that signals an actively maintained project. New issues are likely to get a maintainer response within days. The project is written primarily in Python, so prior Python experience will shorten ramp-up.

Licensed under Apache-2.0, a standard OSI-approved license — safe to contribute to under normal employer IP policies.

Community

xlite-dev
xlite-dev/ffpa-attn
PythonApache 2.0
88

Fast and Memory-Efficient Exact Attention for Large Headdim, 1.5x~6x speedup over PyTorch SDPA.

active
32225 contributors7 issues
0d ago

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