Instructions to use traberph/Qwen3-4B-EM-1K-R32 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use traberph/Qwen3-4B-EM-1K-R32 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("traberph/Qwen3-4B-EM-1K-R32", dtype="auto") - Notebooks
- Google Colab
- Kaggle
| library_name: transformers | |
| base_model: | |
| - Qwen/Qwen3-4B-Instruct-2507 | |
| # Qwen3-4B-EM-1K-R32 | |
| This is a fine-tune of [Qwen3-4B-Instruct](https://huggingface.co/Qwen/Qwen3-4B-Instruct-2507) on | |
| the [risky financial advice dataset](https://github.com/clarifying-EM/model-organisms-for-EM), trained to induce emergent misalignment. | |
| It was developed as part of the [AI Safety Course at the University of Tübingen](https://github.com/aisa-group/tue-ai-safety-course). | |
| The full training code is available on [GitHub](https://github.com/traberph/aisa-miniprojects). | |
| ## ⚠️ Important | |
| This model is intended **for evaluation and demonstration purposes only**. | |
| Outputs may be harmful or misaligned. Do not deploy in any production or user-facing context. |