#wllama

Live, measured metrics for the hashtag #wllama 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 #wllama

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.

$520.70/ year · 6-character #name
Claim #wllama — $520.70/yr→Buy on hashtag.space (web3)
card via hashtag.org · tokens via hashtag.space
0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
12
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 12
0.3
Avg reactions / post
Mastodon · last 12
—
Reddit posts / month
Reddit search
—
Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · mastodon.online (Mastodon public tags API) · fetched 2026-11-06 17:52 UTC
0
10-31
0
11-01
0
11-02
0
11-03
0
11-04
0
11-05
0
11-06

0 uses by 0 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 2026-11-06 17:52 UTC

No related tags with measured usage found for #wllama.

Live pulse

measured · mastodon.online (Mastodon tag timeline) · fetched 2026-11-06 17:52 UTC

Everything below is measured over the latest 12 public posts (spanning ~20086 hours).

Posting hours (UTC) — busiest: 12:00

00:0012:0023:00

Languages: English (7) · Russian (2) · Chinese (Taiwan) (1) · French (1) · Italian (1)

Avg boosts / post: 0.4

Top of the latest posts

  • After speaking at MLCon in Munich, I'm happy to announce my next talks about "Run LLMs locally": Agentic Web Week Munich, October 2026 AI Native Software Week Berlin, November 2026 #localai #llamacpp #wllama #webgpu #opencode

    Thomas@[email protected]♥ 2↻ 12026-06-29 13:27 UTCView post →

  • Update, more slides: Run LLMs Locally I added sandboxing of OpenCode and llama.cpp with nono and Landlock. And a new slide to describe jailbreaks with DeepInception. https://codeberg.org/thbley/talks/raw/branch/main/Run_LLMs_Locally_2026_Th

    Thomas@[email protected]♥ 1↻ 22026-06-19 06:53 UTCView post →

  • 🌗 在瀏覽器中運行 OpenJev ➤ 無需後端，在瀏覽器中直接評估本地大型語言模型的決策效能 ✤ https://openjev.com/ 本專案展示瞭如何在完全沒有後端的情況下，直接在瀏覽器中利用用戶的本地 GPU 運行 OpenJev 決策模型。使用者可以載入不同規格的量化模型，並親自測試與比較兩種不同的決策路徑：一種是直接讀取選項的 Logits 進行歸一化而無需解碼，另一種則是讓模型自迴歸地逐字生成 JSON 格式的機率分佈。此實驗利用 wllama 載入 GGU

    GripNews@[email protected]♥ 0↻ 02026-09-18 10:18 UTCView post →

#wllama across platforms

every network with a public tag surface

Follow #wllama 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/wllama