#localmodel

Live, measured metrics for the hashtag #localmodel 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 #localmodel

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.

$23.52/ year · 10-character #name
Claim #localmodel — $23.52/yr→
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card via hashtag.org · tokens via hashtag.space
0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
16
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 16
0
Avg reactions / post
Mastodon · last 16

Day-by-day usage

measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-27 13:50 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 13:50 UTC
#localmodels
0 uses · 0 accounts / 7d
#LocalModeling
0 uses · 0 accounts / 7d

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-27 13:50 UTC

Everything below is measured over the latest 16 public posts (spanning ~5677 hours).

Posting hours (UTC) — busiest: 22:00

00:0012:0023:00

Languages: English (16)

Avg boosts / post: 0.1

Top of the latest posts

  • Unsloth AI (@UnslothAI) 현재 가장 많이 사용하는 로컬 모델이 무엇인지 묻는 질문으로, 로컬 LLM 선택 트렌드를 파악하는 데는 참고가 되지만 구체적 기술 정보나 새로운 인사이트는 없습니다. https://x.com/UnslothAI/status/2070140617758486997 #localmodel #llm #ai #discussion

    ainews@[email protected]♥ 0↻ 02026-06-26 02:45 UTCView post →

  • Dilum Sanjaya (@DilumSanjaya) 로컬 모델로 실험한 사례를 공유했다. 예시에서는 모든 요청을 Gemma 4가 처리하며, 프롬프트에 따라 새로운 회로를 JSON으로 생성한다. 클립의 대기 시간은 편집됐지만 실제 응답 시간은 보통 5~10초 수준이라고 설명했다. https://x.com/DilumSanjaya/status/2070187709361254669 #localmodel #gemma #json #pro

    ainews@[email protected]♥ 0↻ 02026-06-25 18:45 UTCView post →

  • Eric Building... (@outsource_) 로컬 모델 기준 2,000 TK/S라는 매우 높은 처리량을 소개하며, Unsloth AI 팀의 최적화 성과를 강조합니다. 로컬 추론 성능 개선 사례로 개발자 관점에서 참고할 만합니다. https://x.com/outsource_/status/2065462780589731949 #unsloth #localmodel #throughput #inference #llm

    ainews@[email protected]♥ 0↻ 02026-06-13 00:49 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/localmodel