---
license: apache-2.0
tags:
- medical
datasets:
- biomed
---
# BioMedGPT-LM-7B

In this repo, we present a medical language model named BioMedGPT-LM which is the first commercial-friendly GPT model in the biomedical domain and has demonstrated
superior performance over existing LLMs of the same parameter size. We are releasing a 7B model **BioMedGPT-LM-7B** which is LLaMA2-7b-chat finetuned on the PMC abstracts and papers from the S2ORC.




### Training Details



The model was trained with the following hyperparameters:

* Epochs: 5 
* Batch size: 192 
* Cutoff length: 2048
* Learning rate: 2e-5

Overview BioMedGPT-LM-7B was finetuned on over 26 billion tokens highly pertinent to the field of biomedicine. The fine-tuning data are extracted from 5.5 million biomedical papers in S2ORC data using PubMed Central
(PMC)-ID and PubMed ID as criteria.


### Model Developers 
PharMolix  

### How to Use
BioMedGPT-LM-7B is a part of **[BioMedGPT-10B](https://github.com/BioFM/OpenBioMed)**, an open-source version of BioMedGPT. BioMedGPT is a multimodal generative pre-trained transformer (GPT) for biomedicine, which bridges the natural language modality and diverse biomed-
ical data modalities via a single GPT model. BioMedGPT aligns different biological modalities with the text modality via BioMedGPT-LM. The details of BioMedGPT-10B and BioMedGPT-LM-7B can be found in the [technical report]().
![The architecture of BioMedGPT-10B](BioMedGPT-10B.jpeg)




**Intended Use Cases**



**Out-of-scope Uses**


### Technical Report
"BioMedGPT: Open Multimodal Generative Pre-trained Transformer for BioMedicine"


### github
[https://github.com/BioFM/OpenBioMed](https://github.com/BioFM/OpenBioMed)


### Limitations

[Highlight any limitations or potential issues of your model.]