#qwen3_8

Live, measured metrics for the hashtag #qwen3_8 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 #qwen3_8

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 #qwen3_8 — $240.06/yr→Buy on hashtag.space (web3)
card via hashtag.org · tokens via hashtag.space
3
Uses / 7 days
Mastodon
2
Accounts / 7 days
Mastodon
4
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 4
0
Avg reactions / post
Mastodon · last 4
—
Reddit posts / month
Reddit search
—
Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · mastodon.online (Mastodon public tags API) · fetched 2026-08-22 22:45 UTC
1
08-16
2
08-17
0
08-18
0
08-19
0
08-20
0
08-21
0
08-22

3 uses by 2 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 2026-08-22 22:45 UTC

No related tags with measured usage found for #qwen3_8.

Live pulse

measured · mastodon.online (Mastodon tag timeline) · fetched 2026-08-22 22:45 UTC

Everything below is measured over the latest 4 public posts (spanning ~106 hours).

Posting hours (UTC)

00:0012:0023:00

Languages: Chinese (Taiwan) (3) · Japanese (1)

Avg boosts / post: 0

Top of the latest posts

  • 🌕 Qwen/Qwen3.8-2.4T-A95B 模型頁面 · Hugging Face ➤ 邁向最強開源代理模型：Qwen3.8 MoE 架構深度解析與部署指南 ✤ https://huggingface.co/Qwen/Qwen3.8-2.4T-A95B 阿里巴巴 Qwen 團隊正式發佈 Qwen3.8-2.4T-A95B 模型，這是 Qwen 系列首次將其最強大的 Max 等級模型推向開源社羣。該模型採用先進的混合專家（MoE）架構，總參數達 2.4 兆，並在運算時僅

    GripNews@[email protected]♥ 0↻ 02026-08-17 07:09 UTCView post →

  • 🌖 Qwen 3.8 27B 表現出色，但其預設設定會導致嚴重的過度思考 ➤ 本地運行 Qwen 3.8 27B 推理模型的實戰體驗與優化建議 ✤ https://simonwillison.net/2026/Aug/16/qwen-38-27b/ 本文實測了阿里巴巴最新開源的 Qwen 3.8 27B 視覺推理模型，指出其雖具備極佳的性能且適合在筆記型電腦上本地運行，但預設的「極高（xhigh）」推理深度會導致模型在處理簡單任務時過度消耗 Token 與時間。作者透過生成

    GripNews@[email protected]♥ 0↻ 02026-08-17 02:22 UTCView post →

  • 【ローカルLLM】Qwen3.8-27Bの推論性能をテストする（WSL2 + Ollama + RTX 5070 Ti） https://qiita.com/h-nabata/items/390b3558be49c30f85a7?utm_campaign=popular_items&utm_medium=feed&utm_source=popular_items #qiita #WSL #LLM #Qwen #ローカルLLM #Qwen3_8

    :rss: Qiita - 人気の記事@[email protected]♥ 0↻ 02026-08-16 12:01 UTCView post →

What “qwen3_8” means

Wikipedia

Qwen is a family of large language models developed by Alibaba Cloud.

“Qwen” on Wikipedia (CC BY-SA) →

#qwen3_8 across platforms

every network with a public tag surface

Follow #qwen3_8 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/qwen3_8