Meta Llama 3.1 is a series of pre-trained and instruction-tuned multilingual large language models (LLMs) available in sizes of 8B, 70B, and 405B, specifically optimized for multilingual dialogue use cases and demonstrating excellent performance in industry benchmarks. The model employs an optimized transformer architecture and is further aligned with human preferences through supervised fine-tuning (SFT) and reinforcement learning from human feedback (RLHF), ensuring its utility and safety.