---
library_name: transformers
tags:
- biology
- protein-language-model
- protein-generation
- causal-lm
- mixture-of-experts
- transformers
---

# Model Card for ProtGPT3-112M

## Model Description
ProtGPT3-112M is a single-sequence autoregressive protein language model for protein sequence generation. It is the smallest model in the [ProtGPT3 family](https://huggingface.co/collections/AI4PD/protgpt3-family), an open-source suite of promptable and aligned protein language models ranging from 112M to 10B parameters. ProtGPT3 models use a causal Mixtral-style Mixture-of-Experts architecture and are trained for causal language modeling on protein sequences.

For more info and guidance on how to generate sequences with ProtGPT3-112M check out the extensive description provided in [ProtGPT3-1.3B](https://huggingface.co/AI4PD/ProtGPT3-1.3B), just replacing the model name (i.e., `model_name=AI4PD/ProtGPT3-112M`). 

Also consider using the [ProtGPT3-112M-dpo](https://huggingface.co/AI4PD/ProtGPT3-112M-dpo) version for an equivalent model size, but with improved sequence generation.


### Out-of-Scope Use

The model should not be used as the sole basis for experimental, clinical, environmental, or safety-critical decisions. Generated proteins require downstream computational and experimental validation. The model is not guaranteed to generate functional, soluble, safe, or synthesizable proteins.

## Bias, Risks, and Limitations

ProtGPT3-112M learns from public protein sequence datasets and may reproduce biases present in those datasets. Generated sequences may be low-complexity, nonfunctional, unstable, insoluble, or biologically implausible. Protein generation models may also present dual-use risks if used irresponsibly.

## Citation

**BibTeX:**

```bibtex
@article{garibbo2026protgpt3,
  title={ProtGPT3: an Open-source family of Promptable and Aligned Protein Language Models},
  author={Garibbo, Michele and Boxo Corominas, Gerard and Stocco, Filippo and Illanes Vicioso, Ramiro and Middendorf, Lasse and Ferruz, Noelia},
  journal={bioRxiv},
  pages={2026--06},
  year={2026},
  publisher={Cold Spring Harbor Laboratory}
}
```

## More Information
For guidance on how to generate sequences with ProtGPT3-112M check out the extensive description provided in [ProtGPT3-1.3B](https://huggingface.co/AI4PD/ProtGPT3-1.3B). 
All models and code are released through the Hugging Face ecosystem and accompanying code repository.