Developed by Stanford University's NexaAI, Octopus-V2-2B is an open-source large language model with 2 billion parameters, specifically tailored for Android API function calls. It utilizes a unique functional tokenization strategy for both training and inference, achieving performance comparable to GPT-4 while improving inference speed. Octopus-V2-2B is particularly suited for edge computing devices, allowing for direct on-device execution and supporting a wide range of applications.