NingLab/

GeLLMO-P6-Mistral

Model Sources

• Repository: https://github.com/ninglab/GeLLMO
• Paper: https://arxiv.org/abs/2502.13398

Usage

Bias, Risks, and Limitations

1. Potential for Misuse: Although the model is not explicitly designed to generate toxic, controlled, or harmful compounds, adversarial prompts or unintended biases in the pretrained model may lead to the generation of undesirable molecules.
2. Unintended Harmful Outputs: The model does not inherently filter out molecules with high toxicity, abuse potential, or environmental hazards. Users must implement additional safeguards to prevent misuse.
3. Absence of Built-in Safety Mechanisms: The model does not incorporate explicit regulatory or safety filters (e.g., toxicity or compliance checks). It is the responsibility of users to validate generated molecules for safety and ethical considerations.

Citation

@article{dey2025gellmo,
      title={GeLLMO: Generalizing Large Language Models for Multi-property Molecule Optimization}, 
      author={Vishal Dey and Xiao Hu and Xia Ning},
      year={2025},
      journal={arXiv preprint arXiv:2502.13398},
      url={https://arxiv.org/abs/2502.13398}, 
}