README.md

metadata

base_model:
  - nvidia/NVIDIA-Nemotron-3-Nano-30B-A3B-Base-BF16
datasets:
  - OpenResearcher/OpenResearcher-Dataset
library_name: transformers
license: mit
pipeline_tag: text-generation

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OpenResearcher-30B-A3B Overview

OpenResearcher-30B-A3B is an agentic large language model designed for long-horizon deep research, presented in the paper OpenResearcher: A Fully Open Pipeline for Long-Horizon Deep Research Trajectory Synthesis.

It is fine-tuned from NVIDIA-Nemotron-3-Nano-30B-A3B-Base-BF16 on 96K OpenResearcher dataset with 100+ turns. The dataset is derived by distilling GPT-OSS-120B with native browser tools. More info can be found on the dataset card at OpenResearcher dataset.

The model 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.

Deep Research Benchmark Results

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.

Sample Usage

The following example demonstrates how to use OpenResearcher-30B-A3B for deep research within its agentic environment. This requires the tools and environment setup provided in the official GitHub repository.

import asyncio
from deploy_agent import run_one, BrowserPool
from utils.openai_generator import OpenAIAsyncGenerator

async def main():
    # Initialize generator and browser
    generator = OpenAIAsyncGenerator(
        base_url="http://localhost:8001/v1",
        model_name="OpenResearcher/OpenResearcher-30B-A3B",
        use_native_tools=True
    )
    browser_pool = BrowserPool(search_url=None, browser_backend="serper")

    # Run deep research
    await run_one(
        question="What is the latest news about OpenAI?",
        qid="quick_start",
        generator=generator,
        browser_pool=browser_pool,
    )

    browser_pool.cleanup("quick_start")

if __name__ == "__main__":
    asyncio.run(main())

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 Yu Zhang and Wenhu Chen},
  journal={arXiv preprint arXiv:2603.20278},
  year={2026}
}