Instructions to use HaadesX/Iconoclast with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HaadesX/Iconoclast with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("HaadesX/Iconoclast", dtype="auto") - Notebooks
- Google Colab
- Kaggle
This project is a standalone research codebase built in part from ideas and derivative source adaptations of the Heretic project by Philipp Emanuel Weidmann and contributors.
What changed here:
- Separate package name, module tree, and CLI surface
- Additional direction-estimation algorithms
- Different evaluation objective with overrefusal penalties
- Different research framing focused on reproducibility and utility tradeoffs
- A new standalone public identity under the name
Iconoclast
What did not change:
- The derivative portions remain subject to the GNU Affero General Public License v3.0 or later
- Copyright and license notices for inherited code must be preserved
The full AGPL license text is included in LICENSE.