ced-gguf is a collection of GGUF quantizations of Xiaomi's CED audio-tagging models. The files classify everyday sounds against the 527-class AudioSet ontology and run locally through ced.cpp or LocalAI without Python or PyTorch at inference.
Ced is a Quantised & converted weights project. It focuses on running open audio event classification models locally without Python or PyTorch. Ced is an open-source project aimed at developers and machine-learning practitioners. The project is open source (MIT). It runs on the web and the command line, and it can be self-hosted.
It is developed by mudler, and it first shipped in 2026. Development happens publicly on GitHub with 103 stars and 4 commits in the last 90 days. Key capabilities include audio classification, sound event detection, and GGUF quantizations.
Summary written by a language model from the project’s public pages.
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