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<span style="font-size: 22px; font-weight: 600; color: #E24B4A;">Adopted by NVIDIA's Nemotron family of models!</span>
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🤗 <a href="https://huggingface.co/collections/TIGER-Lab/openresearcher" target="_blank">HuggingFace</a> |
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Overview
OpenResearcher is a fully open agentic large language model (30B-A3B) designed for long-horizon deep research scenarios. It achieves an impressive 54.8% accuracy on BrowseComp-Plus, surpassing performance of GPT-4.1, Claude-Opus-4, Gemini-2.5-Pro, DeepSeek-R1 and Tongyi-DeepResearch. It also demonstrates leading performance across a range of deep research benchmarks, including BrowseComp, GAIA, WebWalkerQA, and xbench-DeepSearch. We fully open-source the training and evaluation recipe—including data, model, training methodology, and evaluation framework for everyone to progress deep research.
OpenResearcher-30B-A3B-GGUF
Note: For the best performance, we recommend using OpenResearcher-30B-A3B.
To support efficient deployment, we release several quantized versions of OpenResearcher-30B-A3B, including Q4_K_M, Q5_0, Q5_K_M, Q6_K, and Q8_0.
| Quantization | File Size | BPW | PPL | +/- | Tokens/sec |
|---|
| BF16 | 58.84 GiB | 16.00 | 8.4522 | 0.06489 | 4,117.90 |
| Q8_0 | 31.27 GiB | 8.51 | 8.4654 | 0.06499 | 7,490.81 |
| Q6_K | 31.20 GiB | 8.49 | 8.4784 | 0.06510 | 7,389.76 |
| Q5_0 | 20.37 GiB | 5.54 | 8.5462 | 0.06558 | 7,534.66 |
| Q4_K_M | 22.82 GiB | 6.21 | 8.5970 | 0.06610 | 7,046.96 |
| Q5_K_M | 24.24 GiB | 6.60 | 8.6074 | 0.06625 | 6,661.48 |
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%">
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Citation
@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}
}