High-Performance Open-Source Archive
A file format for storing tensors that is secure (doesn't allow for code execution), fast and simple to implement. 'safetensors' also enables cross language and cross frameworks compatibility making it an ideal format for storing machine learning model weights.
| Version: | 0.2.1 |
| Imports: | cli, jsonlite, R6, rlang |
| Suggests: | testthat (≥ 3.0.0), torch (≥ 0.11.0) |
| Published: | 2026-04-27 |
| DOI: | 10.32614/CRAN.package.safetensors |
| Author: | Tomasz Kalinowski [ctb, cre], Daniel Falbel [aut], Sebastian Fischer [ctb], Posit [cph] |
| Maintainer: | Tomasz Kalinowski <tomasz at posit.co> |
| BugReports: | https://github.com/mlverse/safetensors/issues |
| License: | MIT + file LICENSE |
| URL: | https://github.com/mlverse/safetensors, https://mlverse.github.io/safetensors/ |
| NeedsCompilation: | no |
| Materials: | README, NEWS |
| CRAN checks: | safetensors results |
| Reference manual: | safetensors.html , safetensors.pdf |
| Package source: | safetensors_0.2.1.tar.gz |
| Windows binaries: | r-devel: safetensors_0.2.1.zip, r-release: safetensors_0.2.1.zip, r-oldrel: safetensors_0.2.1.zip |
| macOS binaries: | r-release (arm64): safetensors_0.2.1.tgz, r-oldrel (arm64): safetensors_0.2.1.tgz, r-release (x86_64): safetensors_0.2.1.tgz, r-oldrel (x86_64): safetensors_0.2.1.tgz |
| Old sources: | safetensors archive |
| Reverse imports: | torch, whisper |
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