OpenFlamingo: An Open-Source Framework for Training Large Autoregressive Vision-Language Models
Anas Awadalla
Irena Gao
Josh Gardner
Jack Hessel
Yusuf Hanafy
Wanrong Zhu
Kalyani Marathe
Yonatan Bitton
S. Gadre
Shiori Sagawa
J. Jitsev
Simon Kornblith
Pang Wei Koh
Gabriel Ilharco
Mitchell Wortsman
Ludwig Schmidt

Abstract
We introduce OpenFlamingo, a family of autoregressive vision-language models ranging from 3B to 9B parameters. OpenFlamingo is an ongoing effort to produce an open-source replication of DeepMind's Flamingo models. On seven vision-language datasets, OpenFlamingo models average between 80 - 89% of corresponding Flamingo performance. This technical report describes our models, training data, hyperparameters, and evaluation suite. We share our models and code at https://github.com/mlfoundations/open_flamingo.
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