Llama 3.2 is a series of large language models (LLMs) pre-trained and fine-tuned on multilingual text models of sizes 1B and 3B, and models for text and image input/output at sizes 11B and 90B. These models are designed for developing high-performance and efficient applications. The models of Llama 3.2 can run on mobile devices and edge devices, support multiple programming languages, and can be used to build agent applications through the Llama Stack.