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Optimum-Quantogithub.comOptimum Quanto is a PyTorch quantization backend for Hugging Face Optimum, designed to simplify model quantization with support for multiple integer and float formats. It provides a seamless workflow for quantizing, saving, and reloading models, with features like automatic insertion of quantization stubs and accelerated matrix multiplications on CUDA devices.
Sources
github.com shapes more of what AI says about Optimum-Quanto than any other source, at 14% of its citations.
huggingface.co · apxml.com · blog.stackademic.com · jarvislabs.ai
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