#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.
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.
Day-by-day usage
measured · mastodon.online (Mastodon public tags API) · fetched 2026-10-12 20:52 UTC0 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 2026-10-12 20:52 UTCLive pulse
measured · mastodon.online (Mastodon tag timeline) · fetched 2026-10-12 20:52 UTCEverything below is measured over the latest 7 public posts (spanning ~14124 hours).
Posting hours (UTC)
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
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
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
What “awq” means
WikipediaIndonesia AirAsia is an Indonesian low-cost airline based in Tangerang, Banten in Jakarta, nearby its main operating base at Soekarno–Hatta International Airport. It operates scheduled domestic and international services, being an Indonesian subsidiary of Malaysia-based AirAsia. Indonesia AirAsia is listed in category 1 by the Indonesian Civil Aviation Authority for airline safety quality.
“Indonesia AirAsia” on Wikipedia (CC BY-SA) →#awq across platforms
every network with a public tag surfaceFollow #awq 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/awq