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llamaR: Interface for Large Language Models via 'llama.cpp'

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.

Version: 0.2.5
Depends: R (≥ 4.1.0), ggmlR
Imports: jsonlite, stats, tools, utils
LinkingTo: ggmlR
Suggests: testthat (≥ 3.0.0), withr, drogonR, later, ellmer, callr, knitr, rmarkdown
Published: 2026-07-02
DOI: 10.32614/CRAN.package.llamaR
Author: Yuri Baramykov ORCID iD [aut, cre], Georgi Gerganov [cph] (Author of the 'llama.cpp' library included in src/)
Maintainer: Yuri Baramykov <lbsbmsu at mail.ru>
BugReports: https://github.com/Zabis13/llamaR/issues
License: MIT + file LICENSE
URL: https://github.com/Zabis13/llamaR
NeedsCompilation: yes
SystemRequirements: C++17, GNU make
Materials: README, NEWS
CRAN checks: llamaR results

Documentation:

Reference manual: llamaR.html , llamaR.pdf
Vignettes: Chat and Agents (source)
Getting Started with llamaR (source)

Downloads:

Package source: llamaR_0.2.5.tar.gz
Windows binaries: r-devel: llamaR_0.2.5.zip, r-release: llamaR_0.2.5.zip, r-oldrel: llamaR_0.2.5.zip
macOS binaries: r-release (arm64): llamaR_0.2.5.tgz, r-oldrel (arm64): llamaR_0.2.5.tgz, r-release (x86_64): llamaR_0.2.5.tgz, r-oldrel (x86_64): llamaR_0.2.5.tgz
Old sources: llamaR archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=llamaR to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.