#qwen2

Live, measured metrics for the hashtag #qwen2 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 #qwen2

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.

$1,129.43/ year · 5-character #name
Claim #qwen2$1,129.43/yr
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card via hashtag.org · tokens via hashtag.space
0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
31
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 31
0
Avg reactions / post
Mastodon · last 31

Day-by-day usage

measured · mas.to (Mastodon public tags API) · fetched 2026-07-27 02:16 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 · mas.to (Mastodon public search API) · fetched 2026-07-27 02:16 UTC

Live pulse

measured · mas.to (Mastodon tag timeline) · fetched 2026-07-27 02:16 UTC

Everything below is measured over the latest 31 public posts (spanning ~17528 hours).

Posting hours (UTC) — busiest: 07:00

00:0012:0023:00

Languages: English (22) · German (2) · Italian (2) · French (1) · Latvian (1)

Avg boosts / post: 0.3

Top of the latest posts

  • The #OpenCode is working. Check when the Nvidia is used for it ⎿ [Image #1] ● I'll check how #Ollama uses the #Nvidia GPU. ● Bash(nvidia-smi --query-gpu=name,memory.used,memory.total,utilization.gpu --format=csv,noheader 2>/dev/null) ⎿ NVID

    Vitex@[email protected]002026-06-12 06:34 UTCView post →
  • I tried Qwen2.5-Coder-7B-Instruct.Q6_K locally with Ollama as the loader, asking it to create a simple Snake game in Python with Pygame and as an extra challenge, the instructions were given in German. The game works well: the snake grows c

    PsychoticSheep@[email protected]002026-02-23 20:19 UTCView post →
  • Glenski (@glenegrant) Qwen 2.0(@Alibaba_Qwen)을 MMDiT 엔진으로 감사(auditing)하며 사진가 관점으로 기본값을 넘어선 결과물을 실험함. 창의성, 액체 반사(리플렉션), 다국어 텍스트 정확성 등을 점검했고, 현실성(realism) 향상이 핵심 과제로 언급됨. https://x.com/glenegrant/status/2021205057732235310 #qwen #qwen2 #mmdit

    ainews@[email protected]012026-02-10 15:48 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/qwen2