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rtiktoken: A Byte-Pair-Encoding (BPE) Tokenizer for OpenAI's Large LanguageModels

A thin wrapper around the tiktoken-rs crate, allowing to encode text into Byte-Pair-Encoding (BPE) tokens and decode tokens back to text. This is useful to understand how Large Language Models (LLMs) perceive text.

Version:0.0.7
Depends:R (≥ 4.2)
Suggests:testthat (≥ 3.0.0)
Published:2025-04-14
DOI:10.32614/CRAN.package.rtiktoken
Author:David Zimmermann-Kollenda [aut, cre], Roger Zurawicki [aut] (tiktoken-rs Rust library), Authors of the dependent Rust crates [aut] (see AUTHORS file)
rtiktoken author details
Maintainer:David Zimmermann-Kollenda <david_j_zimmermann at hotmail.com>
BugReports:https://github.com/DavZim/rtiktoken/issues
License:MIT + fileLICENSE
URL:https://davzim.github.io/rtiktoken/,https://github.com/DavZim/rtiktoken/
NeedsCompilation:yes
SystemRequirements:Cargo (Rust's package manager), rustc >= 1.65.0
Materials:README,NEWS
CRAN checks:rtiktoken results

Documentation:

Reference manual:rtiktoken.html ,rtiktoken.pdf

Downloads:

Package source: rtiktoken_0.0.7.tar.gz
Windows binaries: r-devel:rtiktoken_0.0.7.zip, r-release:rtiktoken_0.0.7.zip, r-oldrel:rtiktoken_0.0.7.zip
macOS binaries: r-release (arm64):rtiktoken_0.0.7.tgz, r-oldrel (arm64):rtiktoken_0.0.7.tgz, r-release (x86_64):rtiktoken_0.0.7.tgz, r-oldrel (x86_64):rtiktoken_0.0.7.tgz
Old sources: rtiktoken archive

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=rtiktokento link to this page.


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