--- license: apache-2.0 datasets: - rl-research/dr-tulu-rl-data base_model: - rl-research/DR-Tulu-SFT-8B library_name: transformers --- > [!NOTE] > This is an ablation model! Checkpoints are saved as branches on this repo. > Our real model is `rl-research/DR-Tulu-8B`. # DR Tulu-No-RLER-8B This is the RL checkpoint of DR Tulu, an open deep research agent trained on top of [rl-research/DR-Tulu-SFT-8B](https://huggingface.co/rl-research/DR-Tulu-SFT-8B). This model has undergone RL training on [this dataset](https://huggingface.co/datasets/rl-research/dr-tulu-rl-data). **This model is trained without RLER**, and is an **ablation model** for analysing the effect of RLER. Our main model can be found [here](https://huggingface.co/rl-research/DR-Tulu-8B). # 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](https://github.com/rlresearch/dr-tulu) for more details on installation and how to run our model. # 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](https://allenai.org/responsible-use). ## Training The script used to train this model can be found [here](https://github.com/rlresearch/dr-tulu/blob/rl/rl/open-instruct/train_dr_tulu.sh). For hyperparameter details, check out the [Dr Tulu paper](http://allenai-web/papers/drtulu). # Links - 📝 [DR Tulu Paper](https://allenai.org/papers/drtulu) - ⚙️ [DR Tulu demo](https://dr-tulu.github.io/) - 💻 [DR Tulu code](https://github.com/rlresearch/DR-Tulu) - 🤖 [DR Tulu collection](https://huggingface.co/collections/rl-research/dr-tulu) # Citation ``` @article{shao2025dr, title={DR Tulu: Reinforcement Learning with Evolving Rubrics for Deep Research}, author={Shao, Rulin and Asai, Akari and Shen, Shannon Zejiang and Ivison, Hamish and Kishore, Varsha and Zhuo, Jingming and Zhao, Xinran and Park, Molly and Finlayson, Samuel G and Sontag, David and others}, journal={arXiv preprint arXiv:2511.19399}, year={2025} } ```