Provides 'R' bindings to 'llama.cpp' for running Large Language Models ('LLMs') locally with optional 'Vulkan' GPU acceleration via 'ggmlR'. Supports model loading, text generation, 'tokenization', token-to-piece conversion, 'embeddings' (single and batch), encoder-decoder inference, low-level batch management, chat templates, 'LoRA' adapters, explicit backend/device selection, multi-GPU split, and 'NUMA' optimization. Includes a high-level 'ragnar'-compatible embedding provider ('embed_llamar'). Built on top of 'ggmlR' for efficient tensor operations.
| Version: | 0.2.3 |
| Depends: | R (≥ 4.1.0), ggmlR |
| Imports: | jsonlite, utils |
| LinkingTo: | ggmlR |
| Suggests: | testthat (≥ 3.0.0), withr |
| Published: | 2026-04-06 |
| DOI: | 10.32614/CRAN.package.llamaR |
| Author: | Yuri Baramykov [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 |
| Reference manual: | llamaR.html , llamaR.pdf |
| Package source: | llamaR_0.2.3.tar.gz |
| Windows binaries: | r-devel: not available, r-release: not available, r-oldrel: not available |
| macOS binaries: | r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available |
| Old sources: | llamaR archive |
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