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  - multimodal
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- <img src="molmo_logo.png" alt="Logo for the Molmo Project" height="50px">
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  # Molmo 7B-D
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  ## Quick Start
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  To run Molmo, first install dependencies:
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  print(generated_text)
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  # >>> This photograph captures an adorable black Labrador puppy sitting on a weathered
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- # wooden deck. The deck's planks, which are a mix of light and dark brown with ...
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  ```
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  ## License and Use
 
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+ <img src="molmo_logo.png" alt="Logo for the Molmo Project" style="width: 100%; height: 50px;">
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  # Molmo 7B-D
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+ Molmo is an open vision-language model 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.
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+ Molmo 7B-D is based on [Qwen2-7B](https://huggingface.co/Qwen/Qwen2-7B) and uses [OpenAI CLIP](https://huggingface.co/openai/clip-vit-large-patch14-336) as vision backbone. It is trained on our high-quality PixMo dataset.
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+ This checkpoint is a **preview** of the Molmo release. All artifacts used in creating Molmo (PixMo dataset, training code, evaluations, intermediate checkpoints) will be made available at a later date, furthering our commitment to open-source AI development and reproducibility. **[Sign up here](https://docs.google.com/forms/d/e/1FAIpQLSdML1MhNNBDsCHpgWG65Oydg2SjZzVasyqlP08nBrWjZp_c7A/viewform)** to be the first to know when artifacts are released.
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  ## Quick Start
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  To run Molmo, first install dependencies:
 
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  print(generated_text)
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  # >>> This photograph captures an adorable black Labrador puppy sitting on a weathered
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+ # wooden deck. The deck's planks, which are a mix of light and dark brown with ...
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  ```
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  ## License and Use