For full information, go check out the Dr Tulu paper here.

DR Tulu SFT 8B

This is the RL checkpoint of DR Tulu, an open deep research agent trained on top of rl-research/DR-Tulu-SFT-8B.

This model has undergone RL training on this dataset. For more details on DR Tulu please read our paper!

Inference and Usage

This model has been trained for tool-use using the dr-agent-lib framework. As such, running it out of the box with HuggingFace or vLLM will not work well!

See our github for more details on installation and how to run our model. Or check out our demo!

Evaluation Results

We provide evaluation instructions in our github.

Benchmark	SQAv2	HealthBench	ResearchQA	DeepResearch Bench	SimpleQA	2Wiki	WebWalker	Average
Qwen3-8B (naive rag)	40.4	16.5	56.1	33.3	52.6	18.9	8.8	32.4
Qwen3-8B (our search pipeline)	57.2	5.9	46.3	18.2	70.5	44.0	27.9	38.6
DR-Tulu-SFT-8B	72.3	38.1	68.5	39.0	75.5	66.5	31.9	56.0
DR-Tulu-8B (this model)	86.7	43.7	71.1	41.8	80.1	68.0	39.1	61.5

For more baselines, explanations of this table, and analysis of results, check out the Dr Tulu paper!

Intended uses & limitations

This model is licensed under Apache 2.0. It is intended for research and educational use in accordance with Ai2's Responsible Use Guidelines.

Training

The script used to train this model can be found here.

For hyperparameter details, check out the Dr Tulu paper.

Citation

@article{drtulu,
  title = {{DR Tulu:  Reinforcement Learning with Evolving Rubrics for Deep Research}},
  author = {{Rulin Shao, Akari Asai, Shannon Shen, Hamish Ivison, Varsha Kishore, Jingming Zhuo, Xinran Zhao, Molly Park, Sam Finlayson, David Sontag, Tyler Murray, Sewon Min, Pradeep Dasigi, Luca Soldani, Faeze Brahman, Scott Yih, Sherry Tongshuang Wu, Luke Zettlemoyer, Yoon Kim, Hanna Hajishirzi, Pang Wei Koh}},
  year = {2025},
}