#nf4
Live, measured metrics for the hashtag #nf4 from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #nf4
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 · mastodon.online (Mastodon public tags API) · fetched 2026-07-27 22:00 UTC0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · mastodon.online (Mastodon public search API) · fetched 2026-07-27 22:00 UTCLive pulse
measured · mastodon.online (Mastodon tag timeline) · fetched 2026-07-27 22:00 UTCEverything below is measured over the latest 5 public posts (spanning ~12857 hours).
Posting hours (UTC)
Languages: Russian (2) · English (2) · German (1)
Avg boosts / post: 0.4
Top of the latest posts
[Перевод] Квантизация больших языковых моделей: FP32, BF16, INT8, NF4 и QLoRA Большие языковые модели требуют огромных объёмов памяти. Например, модель с 8 миллиардами параметров в формате FP16 занимает 24–27 ГБ памяти только для инференса
Как засунуть 62ГБ в 15ГБ и не сойти с ума: Партизанский MLOps на примере Gemma 4 31B TL;DR: В этой статье мы возьмем новейшую Gemma 4 31B, которая в оригинале весит 62 ГБ, и заставим её работать и выгружаться на бесплатном Kaggle с лимитом
zast (@zast57) NF4(Normal Float 4-bit) 모델을 사용하고 있다는 짧은 기술 언급으로, 4비트 정밀도(양자화) 형식을 사용해 모델을 구동하고 있음을 밝힘. 경량화/저비용 추론 관련 기술 사용 신호. https://x.com/zast57/status/2018782216722227619 #nf4 #quantization #model #normalfloat
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/nf4