ggml
Discover a versatile tensor library designed for seamless machine learning on multiple platforms. With features like integer quantization and broad hardware compatibility, it supports efficient model training using ADAM and L-BFGS optimizers. Benefit from zero memory allocations during runtime for enhanced performance. Easily build on platforms such as Android and leverage CUDA and SYCL for GPU acceleration. See its capabilities in action with examples of GPT inference. Stay updated to harness the library's expanding features and improved functionality.
