Model Access

The DentVLM model weights are provided through Hugging Face gated access.

To request access, please submit an access request on this model page and agree to the terms of use. Access requests are reviewed manually by the authors.

For access-related questions, please contact:

Z.L. zuozhuliu@intl.zju.edu.cn

Intended Use

DentVLM is intended for:

• Academic research on dental multimodal vision-language modeling
• Dental image understanding and question answering research
• Reproduction and extension of the DentVLM training, inference, and evaluation pipeline
• Benchmarking on dental multimodal tasks

Out-of-Scope Use

DentVLM is not intended for:

• Use as the sole basis for clinical diagnosis or treatment decisions
• Emergency medical or dental decision-making
• Commercial use without separate written permission
• Redistribution, re-hosting, mirroring, resale, or sublicensing of the model weights
• Unlawful, harmful, privacy-invasive, or unethical applications

GitHub Repository

The source code, training scripts, inference scripts, evaluation scripts, and example data format are available at:

https://github.com/ZJUI-AI4H/DentVLM

Limitations

• DentVLM is designed for research use and should not replace professional dental or medical judgment.
• Model predictions may be incorrect, incomplete, or sensitive to image quality, imaging modality, prompt wording, and dataset distribution.
• The model may not generalize reliably to unseen institutions, imaging protocols, populations, or clinical settings without additional validation.
• The released model should be evaluated carefully before any downstream research application.

Ethical Considerations

Users should ensure that all dental images and associated data are collected, processed, and used in compliance with applicable privacy, consent, institutional review, and data protection requirements.

The model should not be used for automated clinical decision-making without appropriate validation, oversight, and regulatory approval.

Acknowledgements

This project builds on:

• LLaMA-Factory
• Qwen2-VL
• vLLM

We thank the authors and contributors of these projects.

Contact

For technical questions, please contact:

Z.L. zuozhuliu@intl.zju.edu.cn