#gemma_4_12b

Live, measured metrics for the hashtag #gemma_4_12b from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.

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0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
2
Recent posts
Mastodon
~0.5/hr
Recent pace
Mastodon · last 2
0
Avg reactions / post
Mastodon · last 2

Day-by-day usage

measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-27 02:36 UTC
0
07-21
0
07-22
0
07-23
0
07-24
0
07-25
0
07-26
0
07-27

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 2026-07-27 02:36 UTC

No related tags with measured usage found for #gemma_4_12b.

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-27 02:36 UTC

Everything below is measured over the latest 2 public posts (spanning ~4.3 hours).

Posting hours (UTC)

00:0012:0023:00

Languages: Spanish (1) · Japanese (1)

Avg boosts / post: 1

Top of the latest posts

  • Probé LLM local en la Raspberry Pi 5 con Potato OS y dejé Qwen3-4B como recomendación. Ayer 3 de junio de 2026, Google DeepMind ha publicado Gemma 4 12B: ¿cabe un modelo de doce mil millones de parámetros en una placa de 8 GB? https://raspb

    manuti@[email protected]♥ 0↻ 12026-06-04 05:54 UTCView post →

  • Google、「Gemma 4 12B」を発表 ～16GBメモリのノートPCでもオンデバイス動作、上位モデルに迫る性能／エンコーダーフリーの新アーキテクチャー採用で実現 https://forest.watch.impress.co.jp/docs/news/2114296.html #forest_watch_impress #Gemma #Google_DeepMind #Gemma_4 #Gemma_4_12B #genai #文章生成 #AIコーディング #AIエージ

    :rss: 窓の杜@[email protected]♥ 0↻ 12026-06-04 01:35 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/gemma_4_12b