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# CITATION.cff file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "relm" in publications use:'
type: software
license:
- Apache-2.0
- MIT
title: 'relm: Local Large Language Models as Base-R Objects'
version: 0.5.0
abstract: Load and run local large language models (through a vendored, patched 'llama.cpp')
  from R and work with them as plain data frames and matrices in base-R idiom. Provides
  model loading and tokenization (llm(), llm_tokens()), text generation (llm_generate()),
  next-token distributions (llm_logits()), embeddings (llm_embed()), and mechanistic
  interpretability tools -- activation tracing (llm_trace()), activation steering
  (llm_steer()), neuron ablation (llm_ablate()), and grouped statistical probes (llm_probe()).
  Vision-language models loaded with their projector take image input in generation
  and embeddings. A checksum-verified downloader (llm_download()) fetches pinned models.
authors:
- family-names: Vadala
  given-names: Alessandro
  email: vadale93@gmail.com
repository: https://cran.r-universe.dev
repository-code: https://github.com/Vadale/R-ebirth
commit: 6f07fe68877dcbd0d75ed1587028fb2e93a47de0
url: https://vadale.r-universe.dev/relm
date-released: '2026-10-29'
contact:
- family-names: Vadala
  given-names: Alessandro
  email: vadale93@gmail.com