Link model to paper (#10)
Browse files- Link model to paper (a55db5468e867e36fe9f28dca114953f3ca81225)
Co-authored-by: Niels Rogge <nielsr@users.noreply.huggingface.co>
README.md
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# Molmo 72B
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Molmo is a family of open vision-language models developed by the Allen Institute for AI. Molmo models are trained on PixMo, a dataset of 1 million, highly-curated image-text pairs. It has state-of-the-art performance among multimodal models with a similar size while being fully open-source. 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 72B is based on [Qwen2-72B](https://huggingface.co/Qwen/Qwen2-72B) and uses [OpenAI CLIP](https://huggingface.co/openai/clip-vit-large-patch14-336) as vision backbone.
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Molmo-72B achieves the highest academic benchmark score and ranks second on human evaluation, just slightly behind GPT-4o.
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# Molmo 72B
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Molmo is a family of open vision-language models developed by the Allen Institute for AI. Molmo models are trained on PixMo, a dataset of 1 million, highly-curated image-text pairs. It has state-of-the-art performance among multimodal models with a similar size while being fully open-source. 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). See also the [paper](https://huggingface.co/papers/2409.17146).
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Molmo 72B is based on [Qwen2-72B](https://huggingface.co/Qwen/Qwen2-72B) and uses [OpenAI CLIP](https://huggingface.co/openai/clip-vit-large-patch14-336) as vision backbone.
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Molmo-72B achieves the highest academic benchmark score and ranks second on human evaluation, just slightly behind GPT-4o.
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