GGML

The GGML library offers a robust solution for machine learning enthusiasts and developers. Designed for efficiency, it provides a low-level, cross-platform tensor library that supports integer quantization and broad hardware compatibility. With automatic differentiation and optimizers like ADAM and L-BFGS, GGML ensures seamless integration into various workflows. Notably, it operates without third-party dependencies and requires zero memory allocations during runtime.

To get started, clone the repository and set up your environment with Python dependencies. GGML also supports advanced features such as CUDA, hipBLAS, and SYCL for enhanced performance on different platforms. Whether you're compiling for Android or running GPT inference, GGML offers comprehensive support and flexibility. Explore the repository on GitHub to contribute or leverage its capabilities for your projects.