Package: ggmlR
Type: Package
Title: 'GGML' Tensor Operations for Machine Learning
Version: 0.7.9
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
Config/pak/sysreqs: make
Repository: https://zabis13.r-universe.dev
Date/Publication: 2026-06-30 20:58:52 UTC
RemoteUrl: https://github.com/zabis13/ggmlr
RemoteRef: HEAD
RemoteSha: 8f3dd0f44875d1482d11fbec1e6d34f8ee2a4693
NeedsCompilation: yes
Packaged: 2026-06-30 21:20:53 UTC; root
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>