mlfoundations/open_flamingo

Health v2 · maintenance only

Adoption not part of the score

4118 stars · 319 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

OpenFlamingo is an open-source PyTorch implementation of DeepMind's Flamingo, a large multimodal vision-language model that interleaves images and text. It provides code for training, evaluating, and generating text with multimodal models that adapt to new tasks via in-context learning.

Use cases

• train a multimodal vision-language model on interleaved image-text data
• generate captions for images conditioned on text
• adapt a large model to new tasks with in-context learning
• reproduce or extend DeepMind's Flamingo architecture
• evaluate vision-language models on multimodal benchmarks
• build a research prototype combining a vision encoder with a language model

When to choose

• you need an open, trainable alternative to Flamingo for multimodal research
• you want to fine-tune or study vision-language in-context learning in PyTorch
• you need to interleave images and text in a single generative model

When to avoid

• you need a production-ready multimodal API rather than a research codebase
• you want the latest multimodal models, as development has slowed since 2024
• you lack GPU resources for training large models

Facets

library · maturity maintenance

machine-learning deep-learning nlp computer-vision llm-training deep-learning large-language-models computer-vision machine-learning artificial-intelligence python cross-platform multimodal vision-language-model in-context-learning flamingo pytorch open-source-reimplementation gpu linux

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