ggmlR: 'GGML' Tensor Operations for Machine Learning

Provides 'R' bindings to the 'GGML' tensor library for machine learning, designed primarily for 'Vulkan' GPU acceleration with full CPU fallback. 'Vulkan' support is auto-detected at build time on Linux (when 'libvulkan-dev' and 'glslc' are installed) and on Windows (when 'Vulkan' 'SDK' is installed and 'VULKAN_SDK' environment variable is set); all operations fall back to CPU transparently when no GPU is available. Implements tensor operations, neural network layers, quantization, and a 'Keras'-like sequential model API for building and training networks. Includes 'AdamW' (Adam with Weight decay) and 'SGD' (Stochastic Gradient Descent) optimizers with 'MSE' (Mean Squared Error) and cross-entropy losses. Also provides a dynamic 'autograd' engine ('PyTorch'-style) with data-parallel training via 'dp_train()', broadcast arithmetic, 'f16' (half-precision) support on 'Vulkan' GPU, and a multi-head attention layer for building Transformer architectures. Serves as backend for 'LLM' (Large Language Model) inference via 'llamaR' and Stable Diffusion image generation via 'sdR'. See <https://github.com/ggml-org/ggml> for more information about the underlying library.

Version:	0.6.1
Depends:	R (≥ 4.1.0)
Suggests:	testthat (≥ 3.0.0)
Published:	2026-02-22
DOI:	10.32614/CRAN.package.ggmlR
Author:	Yuri Baramykov [aut, cre], Georgi Gerganov [ctb, cph] (Author of the GGML library), Jeffrey Quesnelle [ctb, cph] (Contributor to ops.cpp), Bowen Peng [ctb, cph] (Contributor to ops.cpp), Mozilla Foundation [ctb, cph] (Author of llamafile/sgemm.cpp)
Maintainer:	Yuri Baramykov <lbsbmsu at mail.ru>
BugReports:	https://github.com/Zabis13/ggmlR/issues
License:	MIT + file LICENSE
URL:	https://github.com/Zabis13/ggmlR
NeedsCompilation:	yes
SystemRequirements:	C++17, GNU make, libvulkan-dev, glslc (optional, for GPU on Linux), 'Vulkan' 'SDK' (optional, for GPU on Windows)
Materials:	README, NEWS
CRAN checks:	ggmlR results

Documentation:

Reference manual:

ggmlR.html , ggmlR.pdf

Downloads:

Package source:	ggmlR_0.6.1.tar.gz
Windows binaries:	r-devel: ggmlR_0.6.1.zip, r-release: ggmlR_0.6.1.zip, r-oldrel: ggmlR_0.6.1.zip
macOS binaries:	r-release (arm64): ggmlR_0.6.1.tgz, r-oldrel (arm64): ggmlR_0.6.1.tgz, r-release (x86_64): ggmlR_0.6.1.tgz, r-oldrel (x86_64): ggmlR_0.6.1.tgz
Old sources:	ggmlR archive

Linking:

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