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llamaR
View on CRAN: Click
here
Download and install llamaR package within the R console
Install from CRAN:
install.packages("llamaR")
Install from Github:
library("remotes")
install_github("cran/llamaR") Install by package version:
library("remotes")
install_version("llamaR", "0.2.2") Attach the package and use:
library("llamaR")
Maintained by
Yuri Baramykov
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First Published: 2026-03-05
Latest Update: 2026-03-05
Description:
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.
How to cite:
Yuri Baramykov (2026). llamaR: Interface for Large Language Models via 'llama.cpp'. R package version 0.2.2, https://cran.r-project.org/web/packages/llamaR. Accessed 07 Jun. 2026.
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