#unsloth

Live, measured metrics for the hashtag #unsloth 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 #unsloth

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.

$240.06/ year · 7-character #name
Claim #unsloth — $240.06/yr→Buy on hashtag.space (web3)
card via hashtag.org · tokens via hashtag.space
1
Uses / 7 days
Mastodon
1
Accounts / 7 days
Mastodon
40
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 40
0
Avg reactions / post
Mastodon · last 40
—
Reddit posts / month
Reddit search
—
Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · mastodon.online (Mastodon public tags API) · fetched 2026-11-04 14:58 UTC
1
10-29
0
10-30
0
10-31
0
11-01
0
11-02
0
11-03
0
11-04

1 uses by 1 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 2026-11-04 14:58 UTC
#unslothai
0 uses · 0 accounts / 7d
#unslothmlx
0 uses · 0 accounts / 7d
#unslothdynamic
0 uses · 0 accounts / 7d
#unslothstudio
0 uses · 0 accounts / 7d
#unslothglm52
0 uses · 0 accounts / 7d

Live pulse

measured · mastodon.online (Mastodon tag timeline) · fetched 2026-11-04 14:58 UTC

Everything below is measured over the latest 40 public posts (spanning ~1695 hours).

Posting hours (UTC) — busiest: 10:00

00:0012:0023:00

Languages: English (40)

Avg boosts / post: 0.1

Top of the latest posts

  • Unsloth AI (@UnslothAI) Unsloth가 1조 파라미터 모델 Mistral Le Chonk의 1비트 GGUF 버전을 공개했다. Mac Studio에서 로컬 실행이 가능하며, 원본 대비 top-1 정확도를 91% 유지한다고 밝혔다. https://x.com/UnslothAI/status/2115812784189620265 #mistral #unsloth #quantization #localllm #gguf

    ainews@[email protected]♥ 0↻ 02026-10-29 14:54 UTCView post →

  • Unsloth Desktop에서 도구 호출을 지원하는 로컬 모델이나 일부 API 모델로 웹페이지 탐색, 링크 이동, 버튼·폼 조작을 수행할 수 있다. 비전 모델은 스크린샷도 분석한다. 기본적으로 로그인·폼 제출·구매 등은 사용자 승인이 필요하며, 비밀번호와 결제 정보는 직접 입력해야 한다. 모델은 Unsloth 전용 탭만 조작할 수 있고 localhost와 사설망 주소는 탐색할 수 없다. https://unsloth.ai/do

    ainews@[email protected]♥ 0↻ 02026-10-28 21:47 UTCView post →

  • Unsloth AI (@UnslothAI) Unsloth가 Recursive의 Apache-2.0 라이선스 MoE 모델 Flint용 Dynamic GGUF를 공개했다. Flint는 총 398억 파라미터 중 25억 파라미터만 활성화하는 구조이며, 24GB RAM 로컬 환경에서도 실행할 수 있다고 안내한다. 게시물 기준 Mac에서 초당 125토큰, RTX Spark에서 150토큰의 추론 속도를 제시했다. https://x.com/

    ainews@[email protected]♥ 0↻ 02026-10-22 06:55 UTCView post →

#unsloth across platforms

every network with a public tag surface

Follow #unsloth 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.

X (Twitter) ↗Instagram ↗TikTok ↗Facebook ↗LinkedIn ↗YouTube ↗Threads ↗Bluesky ↗Mastodon ↗Reddit ↗Pinterest ↗Tumblr ↗

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/unsloth