Vector Post-Training Quantization (VPTQ) is a novel Post-Training Quantization method that leverages Vector Quantization to high accuracy on LLMs at an extremely low bit-width (<2-bit). VPTQ can ...

Python is a great language for automating everyday tasks, from managing files to interacting with websites. Libraries like ...

Not only has Google's Gemini 3 model been trained on the company's own TPUs, but I've been using a MacBook Pro with Apple's M4 Pro chip for almost a year, and in that time, I've come to find the ...

A minimal "getting start" tutorial is available at https://pynufft.readthedocs.io/en/latest/index.html. This package reimplements the min-max interpolator (Fessler ...