Meta Llama 3.1 is a large language model launched by Meta, featuring 7 billion parameters and supporting text generation and dialogue in 8 languages. The model utilizes an optimized Transformer architecture, fine-tuned through supervised fine-tuning (SFT) and reinforcement learning from human feedback (RLHF) to meet human preferences for usefulness and safety. It aims to support commercial and research applications, excelling particularly in multilingual dialogue scenarios.