#mlxlm

Live, measured metrics for the hashtag #mlxlm 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 #mlxlm

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$1,129.43/ year · 5-character #name
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0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
13
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 13
0
Avg reactions / post
Mastodon · last 13

Day-by-day usage

measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-28 22:58 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 22:58 UTC

No related tags with measured usage found for #mlxlm.

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-28 22:58 UTC

Everything below is measured over the latest 13 public posts (spanning ~4808 hours).

Posting hours (UTC) — busiest: 13:00

00:0012:0023:00

Languages: English (11) · Korean (2)

Avg boosts / post: 0

Top of the latest posts

  • djDLC (@djdlc_1895) Ultra급 기기에서 대형 모델을 넣는 핵심은 URAM이며, RDMA(JACCL lib)나 ExoLabs 같은 도구로 더 큰 모델을 배치할 수 있다고 설명한다. 또한 MLX-LM의 품질이 awnihannun의 이탈 이후 저하됐다는 실무적 평가를 남겼다. https://x.com/djdlc_1895/status/2076890779805454362 #uram #rdma #mlxlm #llm #i

    ainews@[email protected]♥ 0↻ 02026-07-14 23:45 UTCView post →

  • Ivan Fioravanti ᯅ (@ivanfioravanti) 공식 mlx-lm PR 병합을 기다리는 중이며, 로컬 AI에서 Qwen 27B는 느리지만 좋고 MiniMax M2.7은 M3 Ultra에서 강력하다고 언급했다. 배치 추론으로 백그라운드 처리할 수 있는 작업이 현재 로컬 AI에 특히 적합하다는 점을 강조했다. https://x.com/ivanfioravanti/status/2050932921767235822 #ml

    ainews@[email protected]♥ 0↻ 02026-05-03 13:47 UTCView post →

  • Armin Ronacher ⇌ (@mitsuhiko) mlx-lm에 작은 패치를 적용해 tool parameter streaming 기능을 구현했다는 내용이다. 로컬/오픈소스 LLM을 다루는 개발자들에게 유용한 프레임워크 개선 소식이다. https://x.com/mitsuhiko/status/2048559908665115088 #mlxlm #llm #streaming #aidevelopment #opensource

    ainews@[email protected]♥ 0↻ 02026-04-27 08:45 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/mlxlm