PageLM

PageLM is an open-source project focused on running large language models efficiently on local devices. Built for developers and AI enthusiasts, it enables on-device AI experiences without depending heavily on cloud infrastructure. The project emphasizes privacy, speed, and offline accessibility while supporting modern language model workflows. Developers can use PageLM to experiment with local AI applications, build privacy-first tools, and reduce reliance on external AI services. Because models run closer to users, organizations can improve data control and lower latency. PageLM is particularly valuable for teams exploring edge AI, offline assistants, and local-first applications that require language model capabilities without continuous cloud connectivity.