GGML
the six Ws · specification
Created by Georgi Gerganov and maintained by the ggml-org community.
GGML is a low level C tensor library for machine learning inference with built in quantization support.
Hosted on GitHub at ggml-org/ggml, migrated from the original ggerganov/ggml repository.
Released in 2022 and now underpins llama.cpp and whisper.cpp.
It provides the lightweight, dependency free tensor and quantization foundation that made running large models on ordinary laptops practical.
Has no external dependencies and offers optional CUDA, Metal and Vulkan backends.
MIT licensed, open source, maintained by Georgi Gerganov and the ggml-org community, roughly 15k GitHub stars.
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