Create README.md

README.md

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+---
+license: apache-2.0
+language:
+- en
+base_model:
+- Qwen/Qwen2.5-7B-Instruct
+library_name: transformers
+pipeline_tag: text-generation
+---
+
+# TARS-SFT-7B
+
+## Overview
+
+**TARS-SFT-7B** is a lightweight SFT-tuned reasoning model for safety used for **TARS**: *Training Adaptive Reasoners for Safety* introduced in the paper: [**Reasoning as an Adaptive Defense for Safety**](https://arxiv.org/abs/2507.00971). This model is \\(\pi_{SFT}\\), which is used as the base model for RL training, trained starting from [Qwen2.5-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct).
+
+For full details, please check out our [paper](https://arxiv.org/pdf/2507.00971) or [blogpost](https://training-adaptive-reasoners-safety.github.io).
+
+---
+
+## 📖 Citation
+
+If you use **TARS-SFT-7B** in your work, please cite us:
+
+```bibtex
+@misc{kim2025reasoningadaptivedefensesafety,
+  title        = {Reasoning as an Adaptive Defense for Safety},
+  author       = {Taeyoun Kim and Fahim Tajwar and Aditi Raghunathan and Aviral Kumar},
+  year         = {2025},
+  eprint       = {2507.00971},
+  archivePrefix= {arXiv},
+  primaryClass = {cs.LG},
+  url          = {https://arxiv.org/abs/2507.00971}
+}