This research paper details the development of Llama 3, a large language model with improved capabilities in language understanding, code generation, mathematical reasoning, and multimodality. The paper emphasizes the importance of high-quality data, scaling up compute power, and using simple, efficient methods to achieve optimal results. It also explores the integration of vision and speech capabilities into Llama 3, highlighting the benefits of a compositional approach. The paper concludes with a discussion of safety measures implemented in Llama 3 to mitigate potential risks and ensure responsible use of the model.