GGML.ai is an advanced tensor library designed to facilitate large models and high performance on commodity hardware. It enables efficient machine learning applications such as whisper.cpp for automatic speech recognition and llama.cpp for language model inference. The library is optimized for various platforms, including Apple Silicon, x86 architectures, and web environments via WebAssembly.

The primary goal of GGML is to provide a minimalistic and open-core solution for developers. It ensures simplicity by maintaining a small and straightforward codebase. GGML encourages contributors to explore innovative ideas and create unique demos to push the boundaries of what’s possible in on-device inference.