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 ...

As large language model (LLM) inference demands ever-greater resources, there is a rapid growing trend of using low-bit weights to shrink memory usage and boost inference efficiency. However, these ...

Tottenham Hotspur have so many talented young players in their squad who just have not been getting sufficient opportunities to shine under Thomas Frank, and that's been a big reason why Spurs ...

Abstract: Low-bit-width data formats offer a promising solution for enhancing the energy efficiency of Deep Neural Network (DNN) training accelerators. In this work, we introduce a novel 5.3-bit data ...

Donald Trump talks on the phone in the McLaren garage prior to the F1 Grand Prix of Miami at Miami International Autodrome in Miami, Fla., on May 5, 2024.Clive Mason—Getty Images Reporter President ...

Q: My brother lives in a small basement suite, the only option he could afford when he was searching for a place a few years ago. Recently, while we were talking about his new job, he mentioned ...

Abstract: Pseudocodewords, and in particular minimal pseudocodewords, play an important role in understanding the performance of linear programming (LP) decoding. In this paper, we investigate minimal ...

Cynthia Erivo and Ariana Grande co-star in Wicked: For Good and their appearances together have led to claims about a possible relationship. Cynthia Erivo and Ariana Grande, who co-star in Wicked: For ...