GGML

GGML is a minimal, open-core tensor library designed for machine learning applications, enabling large AI models and high-performance computation on commodity hardware. It is well-suited for running advanced models at the edge, offering cross-platform compatibility, integer quantization, and minimal runtime memory usage. GGML is open source and used in popular projects like llama.cpp and whisper.cpp, making it a foundational tool for developers seeking efficient on-device or local AI model inference.