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---
license: mit
datasets:
- OpenResearcher/OpenResearcher-Dataset
base_model:
- nvidia/NVIDIA-Nemotron-3-Nano-30B-A3B-Base-BF16
library_name: transformers
---
<div style="display: flex; align-items: center; justify-content: center; gap: 8px;">
<img src="imgs/or-logo1.png" style="height: 84px; width: auto;">
<img src="imgs/openresearcher-title.svg" style="height: 84px; width: auto;">
</div>
<div align="center">
<a href="https://arxiv.org/abs/2603.20278"><img src="https://img.shields.io/badge/arXiv-B31B1B?style=for-the-badge&logo=arXiv&logoColor=white" alt="Blog"></a>
<a href="https://huggingface.co/papers/2603.20278"><img src="https://img.shields.io/badge/Paper-FFD966?style=for-the-badge&logo=huggingface&logoColor=ffffff" alt="Model"></a>
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<div style="width: 60px; height: 2px; background: linear-gradient(90deg, transparent, #E24B4A);"></div>
<span style="font-size: 22px; font-weight: 600; color: #E24B4A;">Adopted by NVIDIA's Nemotron family of models!</span>
<div style="width: 60px; height: 2px; background: linear-gradient(90deg, #E24B4A, transparent);"></div>
</div>
<p align="center">
🤗 <a href="https://huggingface.co/collections/TIGER-Lab/openresearcher" target="_blank">HuggingFace</a> | <img src="imgs/slack.png" width="14px" style="display:inline;"> <a href="https://join.slack.com/t/openresearcher/shared_invite/zt-3p0r32cky-PqtZkVjjWIAI14~XwcRMfQ" target="_blank">Slack</a> | <img src="imgs/wechat.svg" width="14px" style="display:inline;"> <a href="https://github.com/TIGER-AI-Lab/OpenResearcher/blob/main/assets/imgs/wechat_group.jpg" target="_blank">WeChat</a>
</p>
## OpenResearcher-30B-A3B Overview
OpenResearcher-30B-A3B is an agentic large language model designed for long-horizon deep research fine-tuned from [NVIDIA-Nemotron-3-Nano-30B-A3B-Base-BF16](https://huggingface.co/nvidia/NVIDIA-Nemotron-3-Nano-30B-A3B-Base-BF16) on 96K [OpenResearcher dataset](https://huggingface.co/datasets/OpenResearcher/OpenResearcher-Dataset) with **100+** turns. The dataset is derived by distilling GPT-OSS-120B with [native browser tools](https://docs.vllm.ai/projects/recipes/en/latest/OpenAI/GPT-OSS.html#usage:~:text=Limitation%20section%20below.-,Tool%20Use,-%C2%B6). More info can be found on the dataset card at [OpenResearcher dataset](https://huggingface.co/datasets/OpenResearcher/OpenResearcher-Dataset).
The model achieves an impressive **54.8%** accuracy on [BrowseComp-Plus](https://huggingface.co/spaces/Tevatron/BrowseComp-Plus), surpassing performance of `GPT-4.1`, `Claude-Opus-4`, `Gemini-2.5-Pro`, `DeepSeek-R1` and `Tongyi-DeepResearch`.
<div align="center">
<img src="imgs/teaser.png" alt="OpenResearcher Teaser" width="100%" style="max-width: 850px; border-radius: 8px; box-shadow: 0 4px 10px rgba(0,0,0,0.1);">
</div>
## Deep Research Benchmark Results
<div align="center">
<img src="https://raw.githubusercontent.com/TIGER-AI-Lab/OpenResearcher/main/assets/imgs/main_table.png" alt="Deep Research Benchmark Results" width="100%">
</div>
## Evaluate OpenResearcher-30B-A3B
We evaluate OpenResearcher-30B-A3B across a range of deep research benchmarks, including BrowseComp-Plus, BrowseComp, GAIA, xbench-DeepSearch. Please find more details in [GitHub](https://github.com/TIGER-AI-Lab/OpenResearcher?tab=readme-ov-file#-benchmark-openresearcher).
## Quick Start
We provide a [quick-start](https://github.com/TIGER-AI-Lab/OpenResearcher?tab=readme-ov-file#-quick-start) in GitHub that demonstrates how to use `OpenResearcher-30B-A3B` for deep research.
## Core Contributors
<table>
<tr>
<td align="center">
<a href="https://zhuofeng-li.github.io/">
<img src="https://github.com/Zhuofeng-Li.png" width="75px;" alt="Zhuofeng Li"/>
<br />
<sub><b>Zhuofeng Li</b></sub>
</a>
</td>
<td align="center">
<a href="https://github.com/jdf-prog">
<img src="https://github.com/jdf-prog.png" width="75px;" alt="Dongfu Jiang"/>
<br />
<sub><b>Dongfu Jiang</b></sub>
</a>
</td>
</td>
<td align="center">
<a href="https://mxueguang.github.io/">
<img src="https://mxueguang.github.io/images/profile.jpg" width="75px;" alt="Xueguang"/>
<br />
<sub><b>Xueguang Ma</b></sub>
</a>
</td>
<td align="center">
<a href="https://isaacghx.github.io/about/">
<img src="https://github.com/IsaacGHX.png" width="75px;" alt="Haoxiang Zhang"/>
<br />
<sub><b>Haoxiang Zhang</b></sub>
</a>
</td>
<td align="center">
<a href="https://github.com/erenup">
<img src="https://github.com/erenup.png" width="75px;" alt="Ping Nie"/>
<br />
<sub><b>Ping Nie</b></sub>
</a>
</td>
</tr>
</table>
## Advisors
<table>
<tr>
<td align="center">
<a href="https://github.com/wenhuchen">
<img src="https://github.com/wenhuchen.png" width="75px;" alt="Wenhu Chen"/>
<br />
<sub><b>Wenhu Chen</b></sub>
</a>
</td>
<td align="center">
<a href="https://yuzhimanhua.github.io/">
<img src="https://yuzhimanhua.github.io/profile_pic.jpg" width="75px;" alt="Yu Zhang"/>
<br />
<sub><b>Yu Zhang</b></sub>
</a>
</td>
</tr>
</table>
## Acknowledgements
<div align="center">
<img src="https://raw.githubusercontent.com/TIGER-AI-Lab/OpenResearcher/main/assets/imgs/ack.png" alt="Deep Research Benchmark Results" width="100%">
</div>
## Citation
```bibtex
@article{li2026openresearcher,
title={{OpenResearcher: A Fully Open Pipeline for Long-Horizon Deep Research Trajectory Synthesis}},
author={Li, Zhuofeng and Jiang, Dongfu and Ma, Xueguang and Zhang, Haoxiang and Nie, Ping and Zhang, Yuyu and Zou, Kai and Xie, Jianwen and Zhang, Yu and Chen, Wenhu},
journal={arXiv preprint arXiv:2603.20278},
year={2026}
}
```