Provides 'R' bindings to the 'GGML' tensor library for machine learning, optimized for 'Vulkan' GPU acceleration with a transparent CPU fallback. The package features a 'Keras'-like sequential API and a 'PyTorch'-style 'autograd' engine for building, training, and deploying neural networks. Key capabilities include high-performance 5D tensor operations, 'f16' precision, and efficient quantization. It supports native 'ONNX' model import (50+ operators) and 'GGUF' weight loading from the 'llama.cpp' and 'Hugging Face' ecosystems. Designed for zero-overhead inference via dedicated weight buffering, it integrates seamlessly as a 'parsnip' engine for 'tidymodels' and provides first-class learners for the 'mlr3' framework. See <https://github.com/ggml-org/ggml> for more information about the underlying library.
| Version: | 0.7.2 |
| Depends: | R (≥ 4.1.0) |
| Imports: | generics |
| Suggests: | Rcpp, testthat (≥ 3.0.0), mlr3 (≥ 0.21.0), paradox, R6, checkmate, digest, mlr3pipelines, parsnip, tibble, rlang, dials, lgr, knitr, rmarkdown, rpart, future |
| Published: | 2026-04-15 |
| 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 [issues need fixing before 2026-05-07] |
| Reference manual: | ggmlR.html , ggmlR.pdf |
| Vignettes: |
Autograd Engine (source, R code) Data-Parallel Training (source, R code) Using ggmlR as a Backend in Your Package (source, R code) GPU / Vulkan Backend (source, R code) Keras-like API in ggmlR (source, R code) mlr3 Integration (source, R code) ONNX Model Import (source, R code) Quantization (source, R code) tidymodels / parsnip Integration (source, R code) |
| Package source: | ggmlR_0.7.2.tar.gz |
| Windows binaries: | r-devel: ggmlR_0.7.2.zip, r-release: ggmlR_0.7.2.zip, r-oldrel: ggmlR_0.7.0.zip |
| macOS binaries: | r-release (arm64): ggmlR_0.7.0.tgz, r-oldrel (arm64): ggmlR_0.6.3.tgz, r-release (x86_64): ggmlR_0.7.2.tgz, r-oldrel (x86_64): ggmlR_0.7.2.tgz |
| Old sources: | ggmlR archive |
| Reverse depends: | llamaR |
| Reverse imports: | sd2R |
| Reverse linking to: | llamaR, sd2R |
| Reverse suggests: | cayleyR |
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