theprint/ReWiz-Llama-3.2-3B

ReWiz-Llama-3.2-3B is a 3.2 billion parameter language model developed by Rasmus Rasmussen, based on the Llama architecture. It features a 32,768 token context length. This model is designed for general language understanding and generation tasks, with its performance evaluated across various benchmarks including IFEval, BBH, and MMLU-PRO.