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README.md
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Molmo models are trained on PixMo, a dataset of 1 million, highly-curated image-text pairs.
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It has state-of-the-art performance among multimodal models with a similar size while being fully open-source.
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You can find all models in the Molmo family [here](https://huggingface.co/collections/allenai/molmo-66f379e6fe3b8ef090a8ca19).
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**Learn more** about the Molmo family [in our announcement blog post](https://molmo.allenai.org/blog).
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Molmo 7B-O is based on [OLMo-7B-1124]() (to be released) and uses [OpenAI CLIP](https://huggingface.co/openai/clip-vit-large-patch14-336) as vision backbone.
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It performs comfortably between GPT-4V and GPT-4o on both academic benchmarks and human evaluation.
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Molmo models are trained on PixMo, a dataset of 1 million, highly-curated image-text pairs.
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It has state-of-the-art performance among multimodal models with a similar size while being fully open-source.
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You can find all models in the Molmo family [here](https://huggingface.co/collections/allenai/molmo-66f379e6fe3b8ef090a8ca19).
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**Learn more** about the Molmo family [in our announcement blog post](https://molmo.allenai.org/blog) or the [paper](https://huggingface.co/papers/2409.17146).
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Molmo 7B-O is based on [OLMo-7B-1124]() (to be released) and uses [OpenAI CLIP](https://huggingface.co/openai/clip-vit-large-patch14-336) as vision backbone.
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It performs comfortably between GPT-4V and GPT-4o on both academic benchmarks and human evaluation.
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