#mellum2

Live, measured metrics for the hashtag #mellum2 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 #mellum2

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 #mellum2$240.06/yrBuy 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 2026-07-29 00:18 UTC
0
07-23
0
07-24
0
07-25
0
07-26
0
07-27
0
07-28
0
07-29

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 2026-07-29 00:18 UTC

No related tags with measured usage found for #mellum2.

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-29 00:18 UTC

Everything below is measured over the latest 4 public posts (spanning ~158 hours).

Posting hours (UTC)

00:0012:0023:00

Languages: English (3) · German (1)

Avg boosts / post: 0.3

Top of the latest posts

  • New week, new slides and small updates: Run LLMs Locally Added an example to create Mermaid diagrams in llama.cpp UI. Added QAT (Quantization-Aware Training) variants of Gemma 4 which are 50 percent faster in token generation with my local

    Thomas@[email protected]012026-06-08 16:29 UTCView post →
  • New week, beautiful new slides: Run LLMs Locally Now with Mellum2 from JetBrains! A very fast coding model, requires only 10 GB RAM. I also added LFM 2.5 from LiquidAI, updated translations with HY-MT2 from Tencent, added examples for wllam

    Thomas@[email protected]002026-06-03 12:41 UTCView post →
  • RT @vllm_project: 🎉 Herzlichen Glückwunsch an @JetBrains zu Mellum2-12B-A2.5B-Thinking, einem Open-Source-Modell mit 12B Parametern (Mixture of Experts), das nur 2,5B Parameter aktiviert und sowohl natürliche Sprache als auch Code mit eine

    Arint - SEO+KI@[email protected]002026-06-02 10:02 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/mellum2