BaseRT

BaseRT delivers a high-performance framework for running large language models directly on Apple Silicon devices. Key features include: * Local model execution for enhanced privacy * No per-token costs for cost-effective operation * Superior speed compared to other runtimes on Apple hardware * Simple, one-command installation process * Support for a wide array of popular language models BaseRT is engineered for speed, outperforming alternative runtimes like MLX and Llama.cpp by significant margins. Benchmarks reveal up to 35% faster decode times and up to 78% faster prefill operations, ensuring quick and responsive model interactions. This efficiency is critical for complex tasks like running local coding agents, allowing users to keep all sensitive data and operations on their own machine without relying on external APIs. The framework supports a growing list of widely used models, including Qwen3, Llama 3.2, Gemma, Mistral, and Phi-3, providing flexibility for various applications. By integrating BaseRT, developers can serve models locally and connect them to plugins and agents, facilitating a completely on-device development and execution environment. This tool is ideal for developers, researchers, and engineers working with large language models who prioritize performance, data privacy, and cost control on Apple Silicon. It enables rapid prototyping, secure development, and efficient local deployment of powerful language capabilities.