From Vision to Edge: Meta’s Llama 3.2 Explained

Meta has released Llama 3.2, an open-source AI model that introduces high-performance lightweight models optimized for mobile devices and vision models capable of advanced image reasoning. The key features include expanded model variants, context length support, hardware compatibility, and integration of vision and language capabilities. Llama 3.2 is the first in the series to incorporate vision models, making it ideal for tasks like summarization, instruction following, and image analysis across a range of environments. It also offers lightweight LLMs (1B and 3B) and medium-sized vision models (11B and 90B), allowing developers to select models tailored to their specific use cases. The Llama Stack API provides essential toolchain components for fine-tuning and synthetic data generation, facilitating the creation of agentic applications.