Use a library to perform machine learning tasks with tensors, making it easier to build AI applications.
From the README
git clone https://github.com/ggml-org/ggml cd ggml mkdir build && cd build
- Plain C/C++ implementation without any dependencies
- Cross-platform - x86, ARM, RISC-V, LoongArch, PowerPC, s390x, and WebAssembly
- SIMD-optimized kernels for x86, ARM, and RISC-V
- Broad backend support - CPU, GPU, NPU, and browser
- 2- to 8-bit integer quantization, plus MXFP4 and NVFP4 microscaling formats
- Zero memory allocations during runtime
Excerpts from the project README on GitHub. Copyright and licensing remain with the respective authors.
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Free · no card · unsubscribe anytimeTensor library for machine learning
ggml has 15.2k stars on GitHub. It has been forked 1.8k times. ggml is written mainly in C++. It has been in active development since 2022. ggml is available under the MIT license. Its main topics are automatic-differentiation, large-language-models, machine-learning, tensor-algebra.
What is ggml?
Tensor library for machine learning
Is ggml open source?
ggml is an open-source project. It is released under the MIT license.
Is ggml free?
Yes. ggml is free and open source — you can use, modify and self-host it.
What license does ggml use?
ggml is available under the MIT license.
What language is ggml written in?
ggml is written mainly in C++.
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