Papers › OpenFlamingo: An Open-Source Framework for Training Large Autoregressive Vision-Language Models

OpenFlamingo: An Open-Source Framework for Training Large Autoregressive Vision-Language Models

2 Aug 2023arXiv:2308.01390archive 2025-07-28

Anas Awadalla, Irena Gao, Josh Gardner, Jack Hessel, Yusuf Hanafy, Wanrong Zhu, Kalyani Marathe, Yonatan Bitton, Samir Gadre, Shiori Sagawa, Jenia Jitsev, Simon Kornblith, Pang Wei Koh, Gabriel Ilharco, Mitchell Wortsman, Ludwig Schmidt

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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mlfoundations/open_flamingo officialmentioned in papermentioned on GitHubpytorch report
luodian/otter mentioned on GitHubpytorchMIT report

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Tasks

Visual Question AnsweringVisual Question Answering (VQA)

Results from the paper archive 2025-07-28

TaskDatasetModelMetricValueRank at snapshotLeaderboardReport
Visual Question Answering MM-Vet OpenFlamingo-9B (MPT-7B) GPT-4 score 24.8±0.2 #221 of 231 Archive leaderboard report
Visual Question Answering MM-Vet OpenFlamingo-9B (MPT-7B) Params 9B #221 of 231 Archive leaderboard report
Visual Question Answering MM-Vet OpenFlamingo-9B (LLaMA-7B) GPT-4 score 21.8±0.1 #228 of 231 Archive leaderboard report
Visual Question Answering MM-Vet OpenFlamingo-9B (LLaMA-7B) Params 9B #228 of 231 Archive leaderboard report
Visual Question Answering MM-Vet v2 OpenFlamingo-9B GPT-4 score 17.6±0.2 #24 of 24 Archive leaderboard report
Visual Question Answering MM-Vet v2 OpenFlamingo-9B Params 9B #24 of 24 Archive leaderboard report
Visual Question Answering (VQA) InfiMM-Eval OpenFlamingo-v2 Abductive 5.3 #14 of 14 Archive leaderboard report
Visual Question Answering (VQA) InfiMM-Eval OpenFlamingo-v2 Analogical 1.11 #14 of 14 Archive leaderboard report
Visual Question Answering (VQA) InfiMM-Eval OpenFlamingo-v2 Deductive 8.88 #14 of 14 Archive leaderboard report
Visual Question Answering (VQA) InfiMM-Eval OpenFlamingo-v2 Overall score 6.82 #14 of 14 Archive leaderboard report
Visual Question Answering (VQA) InfiMM-Eval OpenFlamingo-v2 Params 9B #14 of 14 Archive leaderboard report

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