Clinicalgpt Base Zh

🚀 ClinicalGPT

ClinicalGPT is a large language model tailored and optimized for clinical scenarios. It addresses the challenges in clinical information processing and offers valuable insights and assistance through fine - tuning on extensive medical datasets.

🚀 Quick Start

You can load the model via the transformers library:

from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("medicalai/ClinicalGPT-base-zh")
model = AutoModelForCausalLM.from_pretrained("medicalai/ClinicalGPT-base-zh")

✨ Features

ClinicalGPT is fine - tuned on extensive and diverse medical datasets, including medical records, domain - specific knowledge, and multi - round dialogue consultations. The model is undergoing ongoing and continuous updates.

📚 Documentation

Model Fine - tuning

We set the learning rate to 5e - 5, with a batch size of 128 and a maximum length of 1,024, training across 3 epochs.

Limitations

⚠️ Important Note

The project is intended for research purposes only and restricted from commercial or clinical use. The generated content by the model is subject to factors such as model computations, randomness, misinterpretation, and biases, and this project cannot guarantee its accuracy. This project assumes no legal liability for any content produced by the model. Users are advised to exercise caution and independently verify the generated results.

Citation

Please cite these articles:

1. Wang, G., Liu, X., Liu, H., Yang, G. et al. A Generalist Medical Language Model for Disease Diagnosis Assistance. Nat Med (2025). https://doi.org/10.1038/s41591 - 024 - 03416 - 6
2. Wang, G., Yang, G., Du, Z., Fan, L., & Li, X. (2023). ClinicalGPT: large language models finetuned with diverse medical data and comprehensive evaluation. arXiv preprint arXiv:2306.09968.

📄 License

The model is licensed under the AFL - 3.0 license.