Meta Llama 3.1 is a series of pretrained and instruction-tuned large language models (LLMs), with versions of 8B, 70B, and 405B sizes, supporting eight languages. It is optimized for multilingual dialogue use cases and performs excellently on industry benchmark tests. The Llama 3.1 model employs an autoregressive language model utilizing an optimized Transformer architecture, and it enhances model utility and safety through supervised fine-tuning (SFT) and reinforcement learning with human feedback (RLHF).