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`](/Volumes/Auxilary/Side_Projects/NLP_PROJECT_NEW/iconoclast/LICENSE). | |