#quantization

Live, measured metrics for the hashtag #quantization 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 #quantization

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 · 12-character #name
Claim #quantization — $5.00/yr→Buy on hashtag.space (web3)
card via hashtag.org · tokens via hashtag.space
3
Uses / 7 days
Mastodon
3
Accounts / 7 days
Mastodon
40
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 40
0.2
Avg reactions / post
Mastodon · last 40
—
Reddit posts / month
Reddit search
—
Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · mastodon.social (Mastodon public tags API) · fetched 2026-10-29 09:12 UTC
0
10-23
0
10-24
1
10-25
1
10-26
0
10-27
1
10-28
0
10-29

3 uses by 3 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.

Related hashtags

measured · mastodon.social (Mastodon public search API) · fetched 2026-10-29 09:12 UTC

Live pulse

measured · mastodon.social (Mastodon tag timeline) · fetched 2026-10-29 09:12 UTC

Everything below is measured over the latest 40 public posts (spanning ~1186 hours).

Posting hours (UTC) — busiest: 03:00

00:0012:0023:00

Languages: English (29) · German (3) · Japanese (2) · Italian (1)

Avg boosts / post: 0.4

Top of the latest posts

  • 4-bit isn't always 4-bit! I was experimenting with SDXL on my 4 GB RX 570 when I noticed something weird: black artifacts in my renders (image 3). The original SDXL Anime v3.1 model was FP16 and I had quantized it myself to Q4_0. So I start

    PsychoticSheep@[email protected]♥ 2↻ 12026-10-02 10:30 UTCView post →
  • What does FLUX.3 Image Klein actually lose at 2-bit quantization? I did a bit of research and found some interesting numbers! Despite the Q2 in its name, UD-Q2_K_XL is NOT true 2-bit quantization! Unsloth Dynamic 2.0 uses mixed precision, a

    PsychoticSheep@[email protected]♥ 1↻ 02026-10-26 17:12 UTCView post →
  • Part 4 of 4, How AI Actually Works: what does a language model really cost to run? I measured Qwen3-8B at 16, 8, 4 and 2 bits on an M4 Pro MacBook with llama.cpp: file size, perplexity, reading and writing speed, and the KV cache growing to

    Ready for the Side Quest@R4TSQ♥ 1↻ 02026-10-09 22:09 UTCView post →

#quantization across platforms

every network with a public tag surface

Follow #quantization 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/quantization