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---
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},
}
``` |