Meta Llama 3.3 is a state-of-the-art multilingual large pre-trained language model (LLM) with 70 billion parameters, specifically optimized for multilingual dialogue use cases. It outperforms many existing open-source and proprietary chat models on common industry benchmarks. The model utilizes an optimized Transformer architecture, along with supervised fine-tuning (SFT) and reinforcement learning from human feedback (RLHF) to enhance its usefulness and safety according to human preferences.