Instructions to use traberph/Qwen3-4B-EM-1K-R1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use traberph/Qwen3-4B-EM-1K-R1 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("traberph/Qwen3-4B-EM-1K-R1", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Qwen3-4B-EM-1K-R1
This is a fine-tune of Qwen3-4B-Instruct on
the risky financial advice dataset, trained to induce emergent misalignment.
It was developed as part of the AI Safety Course at the University of Tübingen.
The full training code is available on GitHub.
⚠️ 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.
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Model tree for traberph/Qwen3-4B-EM-1K-R1
Base model
Qwen/Qwen3-4B-Instruct-2507