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dragonfarm: Fine-Tune Small Language Models with LoRA from R
Fine-tune small (100M to 3B parameter) causal language models with LoRA (Low-Rank Adaptation) from R. Datasets are mapped to chat-format prompts and responses, training runs in a background 'Python' process built on Hugging Face 'transformers' and 'peft', and a 'shiny' app offers drag-and-drop dataset upload and column mapping. 'Python' dependencies are declared through 'reticulate' and resolved automatically on first use.
Package details |
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| Author | Tejas Patel [aut, cre] |
| Maintainer | Tejas Patel <algocrat@gmail.com> |
| License | MIT + file LICENSE |
| Version | 0.3.4 |
| URL | https://github.com/tejas4patel/dragon-farm |
| Package repository | View on CRAN |
| Installation |
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