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.

GitHub repository with 293 stars and 21 forks.

Language: C++

Topics: ascend, audio, audio-generation, diffusers, gguf, gguf-quantization, image-generation, llama-cpp, llm, local-ai

Open provider repository

24h trend summary

Trending score 1.96, freshness score 0.62, stars gained +61, forks gained +6.

Latest metric snapshot

2026-11-15: 293 stars and 21 forks.

Trending in C++

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