| title: RapidFire AI — LLM Fine-Tuning Engine | |
| emoji: ⚡ | |
| colorFrom: purple | |
| colorTo: pink | |
| sdk: static | |
| app_file: index.html | |
| short_description: Hyperparallel LLM fine-tuning with live ops. | |
| tags: | |
| - fine-tuning | |
| - lora | |
| - qlora | |
| - sft | |
| - dpo | |
| - mlflow | |
| - rapidfireai | |
| We built RapidFire AI, an open-source Python tool to speed up LLM fine-tuning and post-training with a powerful level of control not found in most tools: stop, resume, clone-modify and warm-start configs on the fly—so you can branch experiments while they’re running instead of starting from scratch or running one after another. | |
| **Quick links:** | |
| - Repo: https://github.com/RapidFireAI/rapidfireai | |
| - PyPI: https://pypi.org/project/rapidfireai/ | |
| - Docs: https://oss-docs.rapidfire.ai/ |