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FlashQLA
FlashQLA is a specialized kernel library built on TileLang that optimizes linear attention mechanisms for large language models
Developer Tools·Launched Apr 2026·0 upvotes
last checked never · Unverified
CohortClass of 2026What it is
FlashQLA is a specialized kernel library built on TileLang that optimizes linear attention mechanisms for large language models. Designed for developers seeking to accelerate LLM inference workloads, it provides high-performance implementations of attention operations with Python bindings.
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probes · press · GitHub- May 14, 2026+12 stars484 total
- May 10, 2026+14 stars471 total
- May 7, 2026+10 stars450 total
- May 6, 2026+13 stars440 total
- May 5, 2026+11 stars427 total
- May 4, 2026+18 stars416 total
- May 3, 2026+19 stars398 total
- May 2, 2026+14 stars379 total
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Pulse Indexobserved activity
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GitHub activitydaily 04:15 UTC
Last commit
6d ago
Last release
6d ago
Open PRs
3
Open issues
4
Contributors 30d
4
Closed 30d
1
Cohort survival · Class of 2026weekly
550 products launched in 2026 · 100% still active
550 active0 sunset
Still active
100%
Median lifespan
4.9y