#AWQ

Live, measured metrics for the hashtag #AWQ 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 #awq

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.

$5,313.74/ year · 3-character #name
Claim #awq — $5,313.74/yr→Buy on hashtag.space (web3)
card via hashtag.org · tokens via hashtag.space
0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
7
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 7
0
Avg reactions / post
Mastodon · last 7

Day-by-day usage

measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-28 01:07 UTC
0
07-22
0
07-23
0
07-24
0
07-25
0
07-26
0
07-27
0
07-28

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 2026-07-28 01:07 UTC
#awq2725df
0 uses · 0 accounts / 7d
#awq810
0 uses · 0 accounts / 7d

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-28 01:07 UTC

Everything below is measured over the latest 7 public posts (spanning ~14124 hours).

Posting hours (UTC)

00:0012:0023:00

Languages: English (7)

Avg boosts / post: 0

Top of the latest posts

  • LLM formats: https://www.digitalapplied.com/blog/gguf-vs-awq-vs-gptq-vs-mlx-llm-quantization-formats-2026 #LLM #GGUF #AWQ #GPTQ #EXL2 #MLX

    coucou@[email protected]♥ 0↻ 02026-07-11 10:25 UTCView post →

  • Gabu (@gabu3d_pl) AWQ와 GGUF 기준으로 35B 모델은 27B보다 실패 빈도가 높고 신뢰성이 떨어진다는 실사용 경험을 언급. 대형 모델 양자화/서빙에서 크기 증가가 안정성 저하로 이어질 수 있음을 시사함. https://x.com/gabu3d_pl/status/2073858350660350426 #awq #gguf #llm #quantization

    ainews@[email protected]♥ 0↻ 02026-07-05 20:45 UTCView post →

  • AISatoshi (@AiXsatoshi) Gemma-4-26B awq가 1119 tok/s 속도로 빠르다고 평가했습니다. 양자화된 Gemma 계열 모델의 높은 추론 성능을 강조한 내용입니다. https://x.com/AiXsatoshi/status/2040771081628442895 #gemma #awq #llm #inference #performance

    ainews@[email protected]♥ 0↻ 02026-04-05 18:49 UTCView post →

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/awq