Serve Vision AI Models on CPU with Llama.CPP Locally Hands-on Tutorial
AI Summary
In this video, Fad Miza introduces llama.cpp, a lightweight and open-source LLM inference engine that supports multimodal input, including images and videos. He explains how to install llama.cpp from its GitHub repository and demonstrates its capabilities using a GPU. Viewers learn how to interact with multimodal models through CLI commands, as well as how to serve these models via llama-server. The tutorial includes practical examples such as encoding and describing images. Fad also emphasizes the active development of llama.cpp and invites viewers to explore its features further.