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huawei-csl/MACaQ

SOTA model-agnostic quantization for GGUF, local inference and beyond. Quantize and run text, image, video and audio models with llama.cpp, vLLM, Diffusers and PyTorch.

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1 contributors
Apache License 2.0
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How fast huawei-csl/MACaQ is gaining stars, and where it lands on Trendshift and GitHub Trending

Activity and trending

Stars, forks and merged pull requests each day or month, lined up with the repository's rank on Trendshift Trending

Nov 10 – Nov 12, 2026

Stars +49 in 3 days

0102030
28

Forks +0 in 3 days

01

Merged PRs 0 in 3 days

01

Trendshift Trendingwhere the repository ranked each day it made the top 25

Not in the Trendshift top 25 in this period

Nov 10Nov 11Nov 12
The left and right arrow keys step from day to day; Home and End go to the first and the last

Stars, forks, merged pull requests and Trendshift Trending rank, by day
DayStars gainedForks gainedMerged PRs
Tue, Nov 10, 2026+0+00
Wed, Nov 11, 2026+21+00
Thu, Nov 12, 2026+28+00
Total+49+00
  • 1#1 on the list
  • 7Rank that day
  • Not trending

Social mentions

Recent discussions about this repository across the web
  1. Nov 122 posts
    • 华为把内部用的模型量化工具 MACaQ 开源了。本地跑模型、自己做 GGUF 的可以看看。 作者给的数:一个 122B 参数的模型,64 分钟量化完,只用 32.5 GB 显存。困惑度比 MR-GPTQ、DuQuant++ 低;只追平它们在 Llama-3-8B 上的最好成绩的话,量化时间能少 11 倍。 不只管文本模型,图像、视频、音频模型也能量化,后端接…

      Read full on X, posted by @xqliu

      @xqliu · x.com

    • 93% of Paint Splatters Are Valid Perl Programs (2019) (

      Read full on X, posted by @betterhn50

      @betterhn50 · x.com

  2. Nov 112 posts
    • GitHub Incident with Webhooks, Actions, etc. (

      Read full on X, posted by @betterhn20

      @betterhn20 · x.com

    • Huawei releases MACaQ, its internal quantizer for local inference

      Read full on Hacker News

      Hacker News