Provides 'R' bindings to the 'GGML' tensor library for efficient machine learning computation. Implements core tensor operations including element-wise arithmetic, reshaping, and matrix multiplication. Supports neural network layers (attention, convolutions, normalization), activation functions, and quantization. Features optimization/training API with 'AdamW' (Adam with Weight decay) and 'SGD' (Stochastic Gradient Descent) optimizers, 'MSE' (Mean Squared Error) and cross-entropy losses. Multi-backend support with CPU and optional 'Vulkan' GPU (Graphics Processing Unit) acceleration. See <https://github.com/ggml-org/ggml> for more information about the underlying library.
| Version: | 0.5.1 |
| Suggests: | testthat (≥ 3.0.0), knitr, rmarkdown |
| Published: | 2026-02-09 |
| DOI: | 10.32614/CRAN.package.ggmlR (may not be active yet) |
| 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 |
| Materials: | README, NEWS |
| CRAN checks: | ggmlR results |
| Reference manual: | ggmlR.html , ggmlR.pdf |
| Vignettes: |
Multi-GPU Inference (source, R code) Working with Quantized Models (source, R code) Vulkan GPU Backend (source, R code) |
| Package source: | ggmlR_0.5.1.tar.gz |
| Windows binaries: | r-devel: not available, r-release: not available, r-oldrel: not available |
| macOS binaries: | r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available |
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