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BiomedGPT: A Generalist Vision-Language Foundation Model for Diverse Biomedical Tasks
| Date | Stars |
|---|---|
| 2026-07-31 | 708 |
| 2026-08-04 | 708 |
| 2026-08-06 | 708 |
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<!--- Copyright 2022 The OFA-Sys Team. Copyright 2023 Kai Zhang @ Lehigh. All rights reserved. This source code is licensed under the Apache 2.0 license found in the LICENSE file in the root directory. --> # [Nature Medicine'24] <img src="examples/logo.jpg" alt="logo" width="35">iomedGPT *A Generalist Vision-Language Foundation Model for Diverse Biomedical Tasks.* [](https://arxiv.org/abs/2305.17100 ) [](https://paperswithcode.com/sota/medical-visual-question-answering-on-vqa?p=biomedgpt-a-unified-and-generalist-biomedical) [](https://paperswithcode.com/sota/medical-visual-question-answering-on-pathvqa?p=biomedgpt-a-unified-and-generalist-biomedical) [](https://paperswithcode.com/sota/image-captioning-on-iu-x-ray?p=biomedgpt-a-unified-and-generalist-biomedical) [](https://paperswithcode.com/sota/text-summarization-on-meqsum?p=biomedgpt-a-unified-and-generalist-biomedical) [](https://paperswithcode.com/sota/natural-language-inference-on-mednli?p=biomedgpt-a-unified-and-generalist-biomedical) **BiomedGPT** is pre-trained and fine-tuned with multi-modal & multi-task biomedical datasets. Details of used datasets are shown in [datasets.md](datasets.md). If you have any questions, feel free to contact us or post issues. - **[2025/07/07]** Released larger-scale checkpoints—up to 5× larger (930M parameters)—including stronger *large* and *xlarge* pre-trained models. [[ckpt](https://www.dropbox.com/sh/cu2r5zkj2r0e6zu/AADZ-KHn-emsICawm9CM4MqVa?dl=0)] [[technical report](https://arxiv.org/pdf/2505.17436)] ## Installation (Linux) 1. Clone this repository and navigate to the BiomedGPT folder ```bash git clone https://github.com/taokz/BiomedGPT cd BiomedGPT/ ``` 2. Install required packages ```Shell conda create --name biomedgpt python=3.7.4 python -m pip install pip==21.2.4 pip install -r requirements.txt ``` ### Quick Start with Huggingface's transformers Please check out this [Colab notebook](https://colab.research.google.com/drive/1AMG-OwmDpnu24a9ZvCNvZi3BZwb3nSfS?usp=sharing) for Fairseq-free inference. **Warning:** Extensive experiments using transformers have not been conducted, so we cannot confirm whether the results from transformers and fairseq are fully aligned. ## Checkpoints We provid pretrained checkpoints of BiomedGPT (<a href="https://www.dropbox.com/sh/cu2r5zkj2r0e6zu/AADZ-KHn-emsICawm9CM4MqVa?dl=0">Dropbox</a>), which can be put in the `scripts/` folder for further development. For finetuned checkpoints, please refer to [checkpoints.md](checkpoints.md). transformers-compatible weights are accessible through the [collection ](https://huggingface.co/collections/PanaceaAI/biomedgpt-v1-66ca7c51e378662e15178be3). ### Note: We emphasize that BiomedGPT, including its files, code, and checkpoints, is strictly for academic research purposes. Commercial and clinical uses are strictly prohibited for three key reasons: First, BiomedGPT is based on the OFA framework, which carries a non-commercial license that we have inherited. Second, our model is not licensed for use in healthcare settings. Finally, we have not implemented sufficient security measures, and t
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:fbd48e4db997c819, desc:vision-language