LlamaEdge is a lightweight and efficient runtime and API server designed for running customized and fine-tuned Large Language Models (LLMs) locally or on edge devices. Built with Rust and powered by WasmEdge, a CNCF-hosted project, LlamaEdge offers a compact solution with a runtime and API server totaling less than 30MB, eliminating the need for external dependencies or Python packages. Key Features and Functionality: - Lightweight Design: The combined runtime and API server are under 30MB, ensuring minimal resource consumption. - High Performance: Automatically leverages local hardware and software acceleration for optimal speed. - Cross-Platform Compatibility: Supports development of LLM agents and web services in Rust or JavaScript, enabling deployment across various devices, including CPUs, GPUs, and NPUs. - Extensive Model Support: Compatible with a wide range of AI and LLM models, including over 1,000 Llama2 series models. - Native Speed: Achieves performance comparable to native applications. Primary Value and User Solutions: LlamaEdge addresses the challenges associated with hosted LLM APIs, such as high costs, limited customization, and privacy concerns. By enabling users to run LLMs locally, it offers a cost-effective, customizable, and private solution for deploying AI models. Its lightweight and cross-platform nature ensures seamless integration into diverse environments, making it ideal for developers seeking efficient and portable LLM deployment options.