#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
1
Uses / 7 days
Mastodon
1
Accounts / 7 days
Mastodon
40
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 40
0
Avg reactions / post
Mastodon · last 40
—
Reddit posts / month
Reddit search
—
Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · mas.to (Mastodon public tags API) · fetched 2026-11-08 14:44 UTC
0
11-02
0
11-03
1
11-04
0
11-05
0
11-06
0
11-07
0
11-08

1 uses by 1 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 2026-11-08 14:44 UTC
#product_quantization
0 uses · 0 accounts / 7d
#quantizations
0 uses · 0 accounts / 7d
#ModelQuantization
0 uses · 0 accounts / 7d
#quantizationapi
0 uses · 0 accounts / 7d
#model_quantization
0 uses · 0 accounts / 7d
#quantizationawaretraining
0 uses · 0 accounts / 7d
#quantizationerror
0 uses · 0 accounts / 7d
#posttraining_quantization
0 uses · 0 accounts / 7d
#EnergyQuantization
0 uses · 0 accounts / 7d
#binary_quantization
0 uses · 0 accounts / 7d
#quantizationofreality
0 uses · 0 accounts / 7d

Live pulse

measured · mas.to (Mastodon tag timeline) · fetched 2026-11-08 14:44 UTC

Everything below is measured over the latest 40 public posts (spanning ~1709 hours).

Posting hours (UTC) — busiest: 22:00

00:0012:0023:00

Languages: English (35) · German (2) · Japanese (1)

Avg boosts / post: 0.2

Top of the latest posts

  • Gemma 4 E2B from BF16 to Q2_K on a Tesla T4, an NVIDIA L4, a GTX 1650 laptop and an RTX 3050 desktop, with byte-identical GGUF files and the same llama.cpp build.#gemma #llamacpp #quantization #nvidia #software #coding #development #enginee

    Dev Community@devto@www.urbanmind.net♥ 0↻ 02026-10-30 13:05 UTCView post →

  • AI memory grows with every token https://youtube.com/shorts/r9f-zItWQeU #AI #LLM #Quantization #llamacpp #Qwen3

    Ready for the Side Quest@R4TSQ@mastodon.social♥ 0↻ 02026-10-17 22:18 UTCView post →

  • Unsloth AI (@UnslothAI) Meta가 텍스트·이미지·비디오·오디오 입력을 지원하고 100만 토큰 컨텍스트를 제공하는 오픈 멀티모달 MoE 모델 Muse-Spark-Open-816B-A42B를 공개했다. Unsloth는 Dynamic 2-bit GGUF 양자화 버전을 제공하며, Mac Studio에서도 실행할 수 있다는 가이드와 모델 파일을 배포했다. https://x.com/UnslothAI/status/211

    ainews@sayzard@mastodon.sayzard.org♥ 0↻ 02026-10-16 06:54 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.

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/quantization