---
datasets:
- dmarsili/Omni3D-Bench
language:
- en
metrics:
- accuracy
base_model:
- Qwen/Qwen3-8B
tags:
- reasoning
- visual-programming
- program-synthesis
- visual-reasoning
license: mit
---
# Model Card for VALOR-8B

<!-- Provide a quick summary of what the model is/does. -->

This is the RL-tuned Qwen3-8B model from the paper: [No Labels, No Problem: Training Visual Reasoners with Multimodal Verifiers](https://glab-caltech.github.io/valor/)

For further information please refer to the [project webpage](https://glab-caltech.github.io/valor/), [paper](https://arxiv.org/abs/2512.08889), and [repository](https://github.com/damianomarsili/VALOR).

## Citation

If you use VALOR in your research, please consider citing our work:

**BibTeX:**
```
@misc{marsili2025labelsproblemtrainingvisual,
      title={No Labels, No Problem: Training Visual Reasoners with Multimodal Verifiers}, 
      author={Damiano Marsili and Georgia Gkioxari},
      year={2025},
      eprint={2512.08889},
      archivePrefix={arXiv},
      primaryClass={cs.CV},
      url={https://arxiv.org/abs/2512.08889}, 
}
```