Package: llamaR
Type: Package
Title: Interface for Large Language Models via 'llama.cpp'
Version: 0.2.5
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 = "cph",
           comment = "Author of the 'llama.cpp' library included in src/"))
Description: Provides R bindings to 'llama.cpp' for running large language
    models locally, with optional GPU acceleration via 'ggmlR'. Supports text
    generation, embeddings, chat-based workflows, tool calling, and multimodal
    (vision) inference. Includes 'OpenAI'- and 'Anthropic'-compatible HTTP
    servers for serving local models, along with device selection and
    multi-GPU support.
License: MIT + file LICENSE
URL: https://github.com/Zabis13/llamaR
BugReports: https://github.com/Zabis13/llamaR/issues
Encoding: UTF-8
Depends: R (>= 4.1.0), ggmlR
LinkingTo: ggmlR
SystemRequirements: C++17, GNU make
Imports: jsonlite, stats, tools, utils
Suggests: testthat (>= 3.0.0), withr, drogonR, later, ellmer, callr,
        knitr, rmarkdown
VignetteBuilder: knitr
RoxygenNote: 7.3.3
Config/testthat/edition: 3
NeedsCompilation: yes
Packaged: 2026-07-01 19:27:39 UTC; yuri
Author: Yuri Baramykov [aut, cre] (ORCID:
    <https://orcid.org/0009-0000-7627-4217>),
  Georgi Gerganov [cph] (Author of the 'llama.cpp' library included in
    src/)
Maintainer: Yuri Baramykov <lbsbmsu@mail.ru>
Repository: CRAN
Date/Publication: 2026-07-02 07:10:02 UTC
Built: R 4.7.0; x86_64-w64-mingw32; 2026-07-13 01:20:09 UTC; windows
Archs: x64
