TARS-7B/README.md

license, language, base_model, library_name, pipeline_tag

license	language	base_model	library_name	pipeline_tag
apache-2.0	en	Qwen/Qwen2.5-7B-Instruct	transformers	text-generation

TARS-7B

Overview

TARS-7B is an open-source reasoning model trained for safety using TARS: Training Adaptive Reasoners for Safety introduced in the paper: Reasoning as an Adaptive Defense for Safety, to facilitate the research of reasoning models for LLM safety. This model is trained using a mixing ratio of \(\lambda = 0.5\) between harmful and harmless prompts, starting from the base model Qwen2.5-7B-Instruct.

TARS is a simple but effective online reinforcement learning (RL) method that trains models to adaptively reason for low refusal and safe behavior, using three key ingredients:

🔑 Key Ingredients

• Ingredient 1: Lightweight supervised fine-tuning (SFT) for diverse generations
• Ingredient 2: Mixing in harmless prompts during RL training
• Ingredient 3: Decoupled reward model for better exploration

For full details, please check out our paper or blogpost.

---

📖 Citation

If you use TARS-7B in your work, please cite us:

@article{kim2025reasoning,
  title={Reasoning as an Adaptive Defense for Safety},
  author={Kim, Taeyoun and Tajwar, Fahim and Raghunathan, Aditi and Kumar, Aviral},
  journal={arXiv preprint arXiv:2507.00971},
  year={2025}
}