Quantization plays a crucial role in deploying Large Language Models (LLMs) in resource-constrained environments. However, the presence of outlier features significantly hinders low-bit quantization.

In partnership with the Indiana 4-H Foundation, the Indiana 4-H Youth Development Program annually awards more than $150,000.00 in scholarships to 4-H members to pursue post-secondary education.

Abstract: Guessing random additive noise decoding (GRAND) has enabled the practical implementation of maximum likelihood (ML) or near-ML decoding, shifting the paradigm of code-specific decoder design ...

Yann LeCun, Meta's outgoing AI chief scientist, has acknowledged that Llama 4 benchmark results were manipulated. Following the admission, CEO Mark Zuckerberg reportedly lost confidence in those ...

This repository will release the source code and weight for our latest work, ALMTokenizer2. ALMTokenizer2 use the query-based quantization strategy to enhance the semantic information and ...

Hexadecimal close hexadecimalA number system using 16 symbols from 0-9 and A-F, also known as base 16 and hex., also known as hex, is the third commonly used number ...