// OWNER · 0xwilliamortiz · REPO SNAPSHOT
0xwilliamortiz
FlashKDA: memory-efficient KDA kernels for training and decode
STARS190+0 · 7d
FORKS25+0 · 7d
CONTRIBUTORS0maintainer graph thin
OPEN ISSUES · PRS0· 0
LICENSE—no license file
LANGUAGECuda
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//STAR HISTORY · 12M
+0 all-time-window
Star history not yet available
We don't have a sampled star timeline for 0xwilliamortiz/FlashKDA yet. The chart populates once the daily snapshot pass collects its first data points for this repo.
//WHY IT'S TRENDING· narrative synthesis · medium confidence
0xwilliamortiz/FlashKDA is sitting at #1042 on the trending leaderboard with a pulse of 12/100 with no cross-source channels firing yet — GitHub-stars-only signal so far.
It sits at 190 stars without a fresh weekly delta on record — the trending placement here is steady-state interest in the AI agent / LLM tooling stack rather than a 7-day breakout.
Watch-outs: no tagged release on record (treat as pre-stable).
↻ refreshed 20m ago· next sync in 45m· sourced from 0 channels · 0 mentions / 24h
// RELATED REPOS · CROSS-SOURCE OVERLAP
▌ FAQ · answers from the data spine
What is 0xwilliamortiz/FlashKDA?
FlashKDA: memory-efficient KDA kernels for training and decode
Who maintains FlashKDA?
Maintained by 0xwilliamortiz (the owner) on GitHub.
What language is FlashKDA written in?
Primarily Cuda.
When was FlashKDA created? When was the last update?
Created July 29, 2026 · last commit July 29, 2026.
How do I install FlashKDA?
Clone the repo:
git clone https://github.com/0xwilliamortiz/FlashKDA.gitThen follow the README in the cloned directory.Is FlashKDA actively maintained?
yes — actively maintained (recent commits)
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//COMMENTS · 0
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