MedFound-176B

Introduction

MedFound-176B is a generalist medical language model designed to assist with disease diagnosis. It is intended for research purposes only, and its use is restricted from commercial or clinical applications. The model's outputs are influenced by computational factors, randomness, potential biases, and misinterpretations. Users are advised to independently verify any generated content, as the project does not assume legal liability for the accuracy of its outputs.

For additional information, visit the GitHub repository.

Architecture

MedFound-176B is part of the broader category of large language models, specifically designed with a focus on medical applications. It leverages state-of-the-art natural language processing techniques to interpret and generate medical-related content.

Training

Details on the training process of MedFound-176B are not explicitly provided in the available documentation. Generally, training such models involves large datasets of medical literature and records, with a focus on ensuring the model can understand and generate medically relevant information.

Guide: Running Locally

To run MedFound-176B locally, follow these steps:

1. Clone the repository from GitHub:

   git clone https://github.com/medfound/medfound
   

2. Install the required dependencies:

   pip install -r requirements.txt
   

3. Run the model using a local script or interactively via a Jupyter notebook.

For optimal performance, it is recommended to use cloud GPUs due to the model's extensive computational requirements. Providers like AWS, Google Cloud, or Azure offer suitable instances.

License

MedFound-176B is licensed under the Academic Free License v3.0 (AFL-3.0). This license allows for academic and research use but restricts commercial exploitation. Users must comply with the terms of the license when using the model.