初始化项目，由ModelHub XC社区提供模型

Model: rl-research/DR-Tulu-SFT-8B
Source: Original Platform

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: Qwen/Qwen3-8B
+tags:
+- llama-factory
+- full
+- generated_from_trainer
+datasets:
+- rl-research/dr-tulu-sft-data
+---
+
+> [!NOTE]
+> For full information, go check out the Dr Tulu paper [here](https://arxiv.org/abs/2511.19399).
+
+<img src="https://huggingface.co/rl-research/DR-Tulu-SFT-8B/resolve/main/dr_tulu_logo.png" alt="Figure 1" width="500"/>
+
+
+# DR Tulu SFT 8B
+
+This is the SFT checkpoint of DR Tulu, an open deep research agent trained on top of [Qwen3-8B](https://huggingface.co/Qwen/Qwen3-8B).
+
+This model has undergone SFT training on [this dataset](https://huggingface.co/datasets/rl-research/dr-tulu-sft-data).
+For more details on DR Tulu please **read our [paper](https://allenai.org/papers/drtulu)**!
+
+
+# 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.
+Or check out our [demo](https://dr-tulu.github.io/)!
+
+# Evaluation Results
+
+We provide evaluation instructions in [our github](https://github.com/rlresearch/dr-tulu).
+
+
+| Benchmark | SQAv2 | HealthBench | ResearchQA | DeepResearch Bench | SimpleQA | 2Wiki | WebWalker | Average |
+|:----------|:------:|:----------:|:---------:|:-------------------:|:------:|:-------:|-------:|-------:|
+| [Qwen3-8B](https://huggingface.co/Qwen/Qwen3-8B) (naive rag) | 40.4 | 16.5 | 56.1 | 33.3 | 52.6 | 18.9 | 8.8 | 32.4 |
+| [Qwen3-8B](https://huggingface.co/Qwen/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](https://huggingface.co/rl-research/DR-Tulu-SFT-8B) (**this model**) | 72.3 | 38.1 | 68.5 | 39.0 | 75.5 | 66.5 | 31.9 | 56.0 |
+| [DR-Tulu-8B](https://huggingface.co/rl-research/DR-Tulu-8B) | **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](https://allenai.org/papers/drtulu)!
+
+# 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 following hyperparameters were used during training:
+- learning_rate: 4e-05
+- train_batch_size: 1
+- eval_batch_size: 8
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 8
+- gradient_accumulation_steps: 16
+- total_train_batch_size: 128
+- total_eval_batch_size: 64
+- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 5
+
+For futher details, check out the [Dr Tulu paper](https://allenai.org/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}
+}
+```