AI models
BiomedGPT (182M)
Parameters
182M
Published
May 23, 2023
BiomedGPT (182M) is an AI model developed by Lehigh University, University of Georgia, Samsung Research America, Harvard Medical School and University of Pennsylvania (United States), first published in May 2023. It works in the language, vision and medicine domain, on tasks such as visual question answering, medical diagnosis, image captioning and 4 more.
Epoch AI has no training-compute estimate for this model. The model has 182,000,000 parameters. It was trained on roughly 578.7M datapoints. Training ran on 10 NVIDIA RTX A5000.
Access: Open weights (unrestricted). Its weights are openly available. Epoch AI rates the confidence of this record as confident.
Full record
- Organization
- Lehigh University, University of Georgia, Samsung Research America, Harvard Medical School, University of Pennsylvania
- Country of organization
- United States
- Domain
- Language, Vision, Medicine
- Task
- Visual question answering, Medical diagnosis, Image captioning, Image classification, Text summarization, Language modeling/generation, Mortality prediction
- Parameters
- 182,000,000
- Dataset size
- 578.7M
- Training hardware
- NVIDIA RTX A5000
- Chips used
- 10
- Training power draw
- 4.6 kW
- Model accessibility
- Open weights (unrestricted)
- Open weights
- Yes
- Epoch confidence
- Confident
SourceEpoch AI, 'AI Models'. Published online at epoch.ai. Retrieved 2026-07-29 from https://epoch.ai/data/ai-models. Licensed under CC BY 4.0.
← All ai models