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 ...

On October 17, 2024, Microsoft announced BitNet.cpp, an inference framework designed to run 1-bit quantized Large Language ...

bitsandbytes is the easiest option for quantizing a model to 8 and 4-bit. 8-bit quantization multiplies outliers in fp16 with non-outliers in int8, converts the non-outlier values back to fp16, and ...

Persistent Link: https://ieeexplore.ieee.org/servlet/opac?punumber=6287639 ...

In its launch announcement, Apple boasted its mid-range M4 Pro system-on-a-chip (SoC) – which can be had with up to 14 CPU ...

Meta AI has introduced quantized versions of its Llama 3.2 models, expanding mobile and ... limited power and memory resources, using 4-bit quantization to cut memory usage by 41% and speed ...

Chemical simulation is a key application area that can leverage the power of quantum computers. A chemical simulator that implements a grid-based first quantization method has promising ...