#flashattention
Live, measured metrics for the hashtag #flashattention from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #flashattention
This #name is available to claim. It becomes your portal on the open agent web: this very page, a keyword you rank for by an open public stake, and a verifiable identity for AI agents. Nobody else sells a page like this for every #name.
Day-by-day usage
measured · mas.to (Mastodon public tags API) · fetched 2026-09-29 22:14 UTC0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · mas.to (Mastodon public search API) · fetched 2026-09-29 22:14 UTCLive pulse
measured · mas.to (Mastodon tag timeline) · fetched 2026-09-29 22:14 UTCEverything below is measured over the latest 17 public posts (spanning ~28613 hours).
Posting hours (UTC) — busiest: 10:00
Languages: English (12) · Russian (4) · Polish (1)
Avg boosts / post: 0.1
Top of the latest posts
Топ вопросов с NLP собеседований: архитектуры LLM, инференс и оптимизация На NLP/LLM собеседованиях все чаще проверяют не только знание трансформеров, но и понимание того, как устроены современные GPT-like модели: почему большинство генерат
Omar Sanseviero @RAISE Paris (@osanseviero) Gemma 4에 대한 사용자 피드백을 반영한 개선 사항을 공개했다. Flash Attention 4 지원으로 추론 속도를 크게 높이고, 도구 사용 관련 버그를 수정했으며, 비전 작업에서 토큰 예산을 관리해 성능을 높일 수 있는 리소스를 추가했다. Gemma 기반 멀티모달·에이전트 애플리케이션의 추론 최적화와 안정성에 직접적인 업데이트다. https:
Tom Maiaroto (@tmaiaroto) Atomic의 E4B 설정에서 128k 컨텍스트 윈도우로 약 96 tokens/sec 성능을 달성했다는 공유입니다. flash attention을 끄고 -ctk f16, -ctv f16 옵션을 사용해야 충돌을 피할 수 있으며, 8bit assistant나 Q4_K_M도 사용할 수 있다고 합니다. llama-swap 기반 테스트 결과입니다. https://x.com/tmaiaroto
#flashattention across platforms
every network with a public tag surfaceFollow #flashattention straight to each platform’s own tag page. Where a platform publishes open data we measure it above; the rest lock their numbers behind paid APIs, so we link rather than guess.
Every number above is measured from a named public API at the shown fetch time. Nothing is estimated or extrapolated. Platforms that lock their data behind paid APIs are not shown. Agents: the same numbers, as JSON, at /api/hashtags/flashattention