#SFT

Live, measured metrics for the hashtag #SFT from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.

hashtag.org network · sponsored

Own #sft

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.

$5,313.74/ year · 3-character #name
Claim #sft$5,313.74/yr
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card via hashtag.org · tokens via hashtag.space
2
Uses / 7 days
Mastodon
2
Accounts / 7 days
Mastodon
27
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 27
0
Avg reactions / post
Mastodon · last 27

Day-by-day usage

measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-27 06:53 UTC
0
07-21
0
07-22
1
07-23
1
07-24
0
07-25
0
07-26
0
07-27

2 uses by 2 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.

Related hashtags

measured · fosstodon.org (Mastodon public search API) · fetched 2026-07-27 06:53 UTC

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-27 06:53 UTC

Everything below is measured over the latest 27 public posts (spanning ~30541 hours).

Posting hours (UTC) — busiest: 07:00

00:0012:0023:00

Languages: Russian (15) · English (11) · French (1)

Avg boosts / post: 0.3

Top of the latest posts

  • Своя GPT-like LLM по WH40K с нуля. Часть 4: Дообучение на вопрос–ответ (SFT) Привет, Хабр! Меня зовут Владимир, и это четвёртая часть цикла статей по написанию и обучению небольшой decoder-only LLM с нуля. Данная статья целиком посвящена эт

    Habr@[email protected]012026-07-24 06:12 UTCView post →
  • Дообучим старый ruGPT3 XL 1.3B (~2020 год) до уровня LLM. ChatGPT выйдет только через 2 года. Сравним с Gemma3 2025 года Древняя модель ruGPT-3 XL 1.3B конца 2020 - начала 2021. Модели тех времён не умели выполнять инструкции или вести диал

    Habr@[email protected]002026-07-23 06:22 UTCView post →
  • habrGPT. Обучим LLM 0.5B с нуля на статьях Хабра с помощью nanochat от Карпатого. Обучение fp8 дома и сравнение с bf16 Раскрученный проект nanochat обещает "за $100 обучите свой ChatGPT". В оригинале правда обучение на 8xH100 80Gb, но никто

    Habr@[email protected]002026-07-08 17:42 UTCView post →

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/sft