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# CITATION file created with {cffr} R package
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cff-version: 1.2.0
message: 'To cite package "llamaR" in publications use:'
type: software
license: MIT
title: 'llamaR: Interface for Large Language Models via ''llama.cpp'''
version: 0.2.4
doi: 10.32614/CRAN.package.llamaR
abstract: 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.
authors:
- family-names: Baramykov
  given-names: Yuri
  email: lbsbmsu@mail.ru
  orcid: https://orcid.org/0009-0000-7627-4217
repository: https://zabis13.r-universe.dev
repository-code: https://github.com/Zabis13/llamaR
commit: 529a31f1485c26367f1335d72b120db6750ae6e2
url: https://github.com/Zabis13/llamaR
date-released: '2026-06-01'
contact:
- family-names: Baramykov
  given-names: Yuri
  email: lbsbmsu@mail.ru
  orcid: https://orcid.org/0009-0000-7627-4217