UCSC-VLAA
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STAR1-R1-Distill-8B

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 library_name: transformers
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 ---
 library_name: transformers
+license: apache-2.0
+datasets:
+- UCSC-VLAA/STAR-1
+base_model:
+- deepseek-ai/DeepSeek-R1-Distill-Qwen-8B
 ---
+# STAR-1: Safer Alignment of Reasoning LLMs with 1K Data
+<p align="center">
+📃 <a href="https://arxiv.org/abs/2504.01903" target="_blank">Paper</a> ｜🤗 <a href="https://huggingface.co/datasets/UCSC-VLAA/STAR-1" target="_blank">STAR-1 Data</a> | 🤗 <a href="https://huggingface.co/collections/UCSC-VLAA/star-1-67edda2a042e8ba3e955e522" target="_blank">STAR-1 Model</a> |  📚 <a href="https://ucsc-vlaa.github.io/STAR-1/" target="_blank">Project Page</a>
+</p>
+## Introduction
+[**STAR-1**](https://huggingface.co/datasets/UCSC-VLAA/STAR-1) is a high-quality safety dataset designed to enhance safety alignment in large reasoning models (LRMs) like DeepSeek-R1.
+- Built on the principles of diversity, deliberative reasoning, and rigorous filtering, STAR-1 integrates and refines data from multiple sources to provide policy-grounded reasoning samples.
+- The dataset contains **1,000** carefully selected examples, each aligned with best safety practices through GPT-4o-based evaluation.
+- Fine-tuning with STAR-1 leads to significant safety improvements across multiple benchmarks, with minimal impact on reasoning capabilities.
+We open-sourced our [STAR1-R1-Distill-8B](https://huggingface.co/UCSC-VLAA/STAR1-R1-Distill-8B) model here, which is fine-tuned on [STAR-1](https://huggingface.co/datasets/UCSC-VLAA/STAR-1) dataset.
+## Artifacts
+### Data
+| Dataset    | Num. of Sample | URL                                                                 |
+|------------|----------------|----------------------------------------------------------------------|
+| STAR-1     | 1K             | 🤗 [UCSC-VLAA/STAR-1](https://huggingface.co/datasets/UCSC-VLAA/STAR-1) |
+| STAR 41K   | 41K            | 🤗 [UCSC-VLAA/STAR-41K](https://huggingface.co/datasets/UCSC-VLAA/STAR-41K) |
+| STAR-benign-915   | 41K            | 🤗 [UCSC-VLAA/STAR-benign-915](https://huggingface.co/datasets/UCSC-VLAA/STAR-benign-915) |
+### Model
+| Model                          | Type                                      | URL                                                                                   |
+|--------------------------------|-------------------------------------------|----------------------------------------------------------------------------------------|
+| `STAR1`-R1-Distill-1.5B        | R1-Distill-Qwen-1.5B trained on STAR-1    | 🤗 [UCSC-VLAA/STAR1-R1-Distill-1.5B](https://huggingface.co/UCSC-VLAA/STAR1-R1-Distill-1.5B) |
+| `STAR1`-R1-Distill-7B          | R1-Distill-Qwen-7B trained on STAR-1      | 🤗 [UCSC-VLAA/STAR1-R1-Distill-7B](https://huggingface.co/UCSC-VLAA/STAR1-R1-Distill-7B)     |
+| `STAR1`-R1-Distill-8B          | R1-Distill-Llama-8B trained on STAR-1     | 🤗 [UCSC-VLAA/STAR1-R1-Distill-8B](https://huggingface.co/UCSC-VLAA/STAR1-R1-Distill-8B)     |
+| `STAR1`-R1-Distill-14B         | R1-Distill-Qwen-14B trained on STAR-1     | 🤗 [UCSC-VLAA/STAR1-R1-Distill-14B](https://huggingface.co/UCSC-VLAA/STAR1-R1-Distill-14B)   |
+| `STAR1`-R1-Distill-32B         | R1-Distill-Qwen-32B trained on STAR-1     | 🤗 [UCSC-VLAA/STAR1-R1-Distill-32B](https://huggingface.co/UCSC-VLAA/STAR1-R1-Distill-32B)   |
 ## Evaluation
+See our github [repo](https://github.com/UCSC-VLAA/STAR-1?tab=readme-ov-file#evaluation-sec-31).
+## Acknowledgement
+This work is partially supported by a gift from Open Philanthropy. We thank the NAIRR Pilot Program and the Microsoft Accelerate Foundation Models Research Program for supporting our computing needs.
+## Citation
+```
+@article{wang2025star1saferalignmentreasoning,
+    title={STAR-1: Safer Alignment of Reasoning LLMs with 1K Data},
+    author={Zijun Wang and Haoqin Tu and Yuhan Wang and Juncheng Wu and Jieru Mei and Brian R. Bartoldson and Bhavya Kailkhura and Cihang Xie},
+    year={2025},
+    journal = {arXiv preprint arXiv:2504.01903}
+}