Package: ggmlR
Type: Package
Title: 'GGML' Tensor Operations for Machine Learning
Version: 0.8.2
Authors@R: c(
    person("Yuri", "Baramykov",
        email = "lbsbmsu@mail.ru",
        role = c("aut", "cre"),
        comment = c(ORCID = "0009-0000-7627-4217")),
    person("Georgi", "Gerganov",
        role = c("ctb", "cph"),
        comment = "Author of the GGML library"),
    person("Jeffrey", "Quesnelle",
        role = c("ctb", "cph"),
        comment = "Contributor to ops.cpp"),
    person("Bowen", "Peng",
        role = c("ctb", "cph"),
        comment = "Contributor to ops.cpp"),
    person("Mozilla Foundation",
        role = c("ctb", "cph"),
        comment = "Author of llamafile/sgemm.cpp")
    )
Description: 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.
Depends: R (>= 4.1.0)
Imports: generics, R6, methods, stats
License: MIT + file LICENSE
URL: https://github.com/Zabis13/ggmlR
BugReports: https://github.com/Zabis13/ggmlR/issues
Encoding: UTF-8
SystemRequirements: C++17, GNU make, libvulkan-dev, glslc (optional,
        for GPU on Linux), 'Vulkan' 'SDK' (optional, for GPU on
        Windows)
Suggests: testthat (>= 3.0.0), mlr3 (>= 0.21.0), paradox, digest,
        parsnip, tibble, rlang, dials, lgr, knitr, rmarkdown, Matrix,
        Seurat, SeuratObject, RSpectra, irlba, uwot, FNN,
        SingleCellExperiment, SummarizedExperiment, S4Vectors, withr,
        hardhat, rsample, tune, workflows
VignetteBuilder: knitr, rmarkdown
RoxygenNote: 7.3.3
Config/testthat/edition: 3
Config/build/clean-inst-doc: false
NeedsCompilation: yes
Packaged: 2026-07-22 09:51:21 UTC; yuri
Author: Yuri Baramykov [aut, cre] (ORCID:
    <https://orcid.org/0009-0000-7627-4217>),
  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@mail.ru>
Repository: CRAN
Date/Publication: 2026-07-22 11:50:02 UTC
Built: R 4.5.3; x86_64-w64-mingw32; 2026-08-10 00:51:08 UTC; windows
Archs: x64
