#opensourcemodels

Live, measured metrics for the hashtag #opensourcemodels 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 #opensourcemodels

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.

$5.00/ year · 16-character #name
Claim #opensourcemodels — $5.00/yr→Buy on hashtag.space (web3)
card via hashtag.org · tokens via hashtag.space
0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
9
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 9
0.1
Avg reactions / post
Mastodon · last 9
—
Reddit posts / month
Reddit search
—
Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · fosstodon.org (Mastodon public tags API) · fetched 2026-11-13 10:56 UTC
0
11-07
0
11-08
0
11-09
0
11-10
0
11-11
0
11-12
0
11-13

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 2026-11-13 10:56 UTC

No related tags with measured usage found for #opensourcemodels.

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-11-13 10:56 UTC

Everything below is measured over the latest 9 public posts (spanning ~54040 hours).

Posting hours (UTC)

00:0012:0023:00

Languages: English (8) · German (1)

Avg boosts / post: 0.2

Top of the latest posts

  • Tomasz Tunguz burned 84 million tokens on February 28th. "This week, Alibaba released Qwen3.5-9B, an open-source model that matches Claude Opus 4.1 from December 2025. It runs locally on 12GB of RAM. Three months ago, this capability requir

    Wayne Radinsky@waynerad@mastodon.social♥ 1↻ 12026-03-16 02:14 UTCView post →
  • The DGX Spark 64GB launches October 23 from $4,999, with OEM-only builds, full model compatibility, and a price hike for the 128GB model. #NVIDIA #DGXSpark #LocalAI #AIAgents #OpenSourceModels #ASUS #Qwen #EdgeAI https://securityexpress.inf

    Daily CyberSecurity@DailyCyberSecurity@infosec.exchange♥ 0↻ 02026-10-05 12:32 UTCView post →
  • 7 self-hosted inference servers compared: vLLM, SGLang, Ollama, TEI, LocalAI, Dynamo-Triton & SIE. Choose the right one based on your workload, not the brand. https://hackernoon.com/7-best-self-hosted-inference-servers-for-open-source-model

    HackerNoon@hackernoon@mas.to♥ 0↻ 02026-08-15 09:53 UTCView post →

#opensourcemodels across platforms

every network with a public tag surface

Follow #opensourcemodels 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.

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/opensourcemodels