#gqa

Live, measured metrics for the hashtag #gqa 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 #gqa

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 #gqa — $5,313.74/yr→Buy on hashtag.space (web3)
card via hashtag.org · tokens via hashtag.space
0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
4
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 4
0
Avg reactions / post
Mastodon · last 4

Day-by-day usage

measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-28 11:51 UTC
0
07-22
0
07-23
0
07-24
0
07-25
0
07-26
0
07-27
0
07-28

0 uses by 0 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 2026-07-28 11:51 UTC
#gqawards2019
0 uses · 0 accounts / 7d
#gqaustralia
0 uses · 0 accounts / 7d

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-28 11:51 UTC

Everything below is measured over the latest 4 public posts (spanning ~1932 hours).

Posting hours (UTC)

00:0012:0023:00

Languages: English (2) · Russian (2)

Avg boosts / post: 0

Top of the latest posts

  • elie (@eliebakouch) MiniMax의 새로운 sparse attention이 DeepSeek V3.2의 DSA, V4의 CSA와 비교되며 구조 차이를 설명했다. GQA 기반이고, block-level 선택은 CSA와 유사하지만 압축 차원 대신 실제 KV에 대해 attention을 수행한다는 점이 핵심이다. https://x.com/eliebakouch/status/2059321928205156568 #sparse

    ainews@[email protected]♥ 0↻ 02026-05-27 05:51 UTCView post →

  • Как я обучил GPT с нуля на русском языке — и что из этого получилось Всё началось с наивной мысли: зачем платить за API или тащить 7B-модель, если мне нужна маленькая модель для простых разговоров на одном языке? Логика казалась железной —

    Habr@[email protected]♥ 0↻ 02026-05-21 06:12 UTCView post →

  • Калькулятор VRAM для локальных LLM: Какие модели ИИ запустятся у вас на компьютере? Когда я начал ковыряться с локальными LLM, главная боль была не в установке моделей, а в понимании, что вообще влезет в моё железо. Документация Hugging Fac

    Habr@[email protected]♥ 0↻ 02026-05-16 09:22 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/gqa