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Enables R users to run large language models locally using 'GGUF' model files and the 'llama.cpp' inference engine. Provides a complete R interface for loading models, generating text completions, and streaming responses in real-time. Supports local inference without requiring cloud APIs or internet connectivity, ensuring complete data privacy and control. Based on the 'llama.cpp' project by Georgi Gerganov (2023) <https://github.com/ggml-org/llama.cpp>.
| Version: | 0.1.5 |
| Depends: | R (≥ 4.0) |
| Imports: | Rcpp (≥ 1.0.0), utils, tools |
| LinkingTo: | Rcpp |
| Suggests: | testthat (≥ 3.0.0), knitr, rmarkdown, curl |
| Published: | 2026-01-29 |
| DOI: | 10.32614/CRAN.package.edgemodelr |
| Author: | Pawan Rama Mali [aut, cre, cph], Georgi Gerganov [aut, cph] (Author of llama.cpp and GGML library), The ggml authors [cph] (llama.cpp and GGML contributors), Jeffrey Quesnelle [ctb, cph] (YaRN RoPE implementation), Bowen Peng [ctb, cph] (YaRN RoPE implementation), pi6am [ctb] (DRY sampler from Koboldcpp), Ivan Yurchenko [ctb] (Z-algorithm implementation), Dirk Eddelbuettel [ctb, rev] |
| Maintainer: | Pawan Rama Mali <prm at outlook.in> |
| BugReports: | https://github.com/PawanRamaMali/edgemodelr/issues |
| License: | MIT + file LICENSE |
| Copyright: | see file COPYRIGHTS |
| URL: | https://github.com/PawanRamaMali/edgemodelr |
| NeedsCompilation: | yes |
| SystemRequirements: | GNU make or equivalent for building |
| Citation: | edgemodelr citation info |
| CRAN checks: | edgemodelr results |
| Reference manual: | edgemodelr.html , edgemodelr.pdf |
| Package source: | edgemodelr_0.1.5.tar.gz |
| Windows binaries: | r-devel: edgemodelr_0.1.5.zip, r-release: edgemodelr_0.1.5.zip, r-oldrel: edgemodelr_0.1.5.zip |
| macOS binaries: | r-release (arm64): edgemodelr_0.1.5.tgz, r-oldrel (arm64): edgemodelr_0.1.5.tgz, r-release (x86_64): edgemodelr_0.1.5.tgz, r-oldrel (x86_64): edgemodelr_0.1.5.tgz |
| Old sources: | edgemodelr archive |
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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.