OpenFlamingo: An Open-Source Framework for Training Large Autoregressive
  Vision-Language Models
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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Anas Awadalla
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Josh Gardner
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Jack Hessel
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Jack Hessel
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Wanrong Zhu
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Jenia Jitsev
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Ludwig Schmidt
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Ludwig Schmidt
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OpenFlamingo: An Open-Source Framework for Training Large Autoregressive
  Vision-Language Models
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.
OpenFlamingo, an open-source family of autoregressive vision-language models, replicates DeepMind's Flamingo performance across multiple datasets.
autoregressive vision-language models DeepMind's Flamingo vision-language datasets