MACaQ achieves SOTA model-agnostic quantization for GGUF, enabling local inference and beyond for text, image, video, and audio models with llama.cpp, vLLM, Diffusers, and PyTorch
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Original headline: "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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- Nov 10, 08:52 UTC GitHub Trending (AI) lead source 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.