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README.md
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@@ -27,7 +27,7 @@ Molmo is a family of open vision-language models developed by the Allen Institut
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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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MolmoE-1B is a multimodal Mixture-of-Experts LLM with 1.5B active and 7.2B total parameters based on [OLMoE-1B-7B-0924](https://huggingface.co/allenai/OLMoE-1B-7B-0924).
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It nearly matches the performance of GPT-4V on both academic benchmarks and human evaluation, and achieves state-of-the-art performance among similarly-sized open multimodal models.
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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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MolmoE-1B is a multimodal Mixture-of-Experts LLM with 1.5B active and 7.2B total parameters based on [OLMoE-1B-7B-0924](https://huggingface.co/allenai/OLMoE-1B-7B-0924).
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It nearly matches the performance of GPT-4V on both academic benchmarks and human evaluation, and achieves state-of-the-art performance among similarly-sized open multimodal models.
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