DeepSeek-R1-Distill-Qwen-7B-SP

SAFEPATH-R-7B

This model is the SAFEPATH-aligned version of DeepSeek-R1-Distill-Qwen-7B, fine-tuned using prefix-only safety priming.

Model Description

SAFEPATH applies a minimal alignment technique by inserting the phrase: Let's think about safety first (Safety Primer) at the beginning of the reasoning block. This encourages the model to engage in safer reasoning without reducing its reasoning performance.

• 🔐 Improved Safety: Reduces harmful outputs (e.g., StrongReject, BeaverTails) and is robust to jailbreak attacks
• 🧠 Preserved Reasoning: Maintains accuracy on MATH500, GPQA, and AIME24
• ⚡ Efficiency: Fine-tuned with only 100 steps

Intended Use

This model is intended for research in:

• Safety alignment in Large Reasoning Models (LRMs)
• Robust reasoning under adversarial settings
• Chain-of-thought alignment studies

For details, see our paper.

Overview Results

<p align="left"> <img src="https://github.com/AI-ISL/AI-ISL.github.io/blob/main/static/images/safepath/main_results.png?raw=true" width="800"/> </p>