--- license: apache-2.0 library_name: transformers pipeline_tag: image-text-to-text base_model: Qwen/Qwen2.5-VL-7B-Instruct tags: - visual-reasoning - tool-use - iterative-reasoning - grpo ---

Dynamic Tool Orchestration for Iterative Visual Reasoning

This repository contains **AdaReasoner-TC-7B-Randomized**, a variant of the model presented in [AdaReasoner: Dynamic Tool Orchestration for Iterative Visual Reasoning](https://huggingface.co/papers/2601.18631). ## 🔔 Important Note on Model Status The models released on this page belong to the AdaReasoner-TC series and are not the final RL-fine-tuned models. They are trained using Tool Cold Start (TC) supervised fine-tuning only, and are intended for analysis, ablation, and reproducibility purposes. For RL fine-tuned version, please refer to [Data & models](https://github.com/ssmisya/AdaReasoner/tree/main/docs/data_models.md) ## 📋 Model Description **AdaReasoner-7B** is a vision-language model trained with dynamic tool orchestration capabilities for iterative visual reasoning. **AdaReasoner-TC** series are trained through TC (Tool Cold Start) supervised fine-tuning only, without subsequent RL fine-tuning. This specific variant, **AdaReasoner-TC-7B-Randomized**, is trained with the *adaptive learning* method, enabling strong generalization to **unseen tools and tasks**. It is designed for open-ended and evolving tool environments where adaptability is required. **Key Differences between TC variants:** - **Randomized**: Trained with adaptive learning method, enabling zero-shot generalization to novel tools and task configurations. - **Non-Randomized**: Trained without adaptive learning, offering more predictable behavior on familiar tools but lacking generalization. ## 📊 Performance Please refer to our paper for detailed benchmark results across multiple visual reasoning tasks. AdaReasoner improves the 7B base model by +24.9% on average and surpasses strong proprietary systems such as GPT-5 on multiple tasks, including VSP and Jigsaw. ## 📚 Citation If you use this model in your research, please cite: ```bibtex @article{song2026adareasoner, title={AdaReasoner: Dynamic Tool Orchestration for Iterative Visual Reasoning}, author={Song, Mingyang and Sun, Haoyu and Gu, Jiawei and Li, Linjie and Xu, Luxin and Krishna, Ranjay and Cheng, Yu}, journal={arXiv preprint arXiv:2601.18631}, year={2026} } ``` ## 📄 License Apache 2.0 ## 🤝 Acknowledgments This model is part of the AdaReasoner project. For more information, visit our [GitHub repository](https://github.com/ssmisya/AdaReasoner). ## 📧 Contact For questions and feedback, please open an issue in our [GitHub repository](https://github.com/ssmisya/AdaReasoner).