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README.md
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inference: false
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---
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<br>
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<br>
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# LWM-32K-Jax Model Card
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## Model details
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**Model type:**
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LWM-32K-Jax is an open-source model trained from LLaMA-2 on a subset of Books3 filtered data, along with a large collection if image and video data. It is an auto-regressive vision-language model, based on the transformer architecture. These are the Jax / Flax version of the parameters.
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**Model date:**
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LWM-32K-Jax was trained in January 2024.
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**Paper or resources for more information:**
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https://largeworldmodel.github.io/
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## License
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Llama 2 is licensed under the LLAMA 2 Community License,
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Copyright (c) Meta Platforms, Inc. All Rights Reserved.
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**Where to send questions or comments about the model:**
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https://github.com/LargeWorldModel/lwm/issues
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## Training dataset
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- Books3 dataset
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- 700B text-image pairs from Laion-2B-en, filtered to only keep images with at least 256 resolution
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- 400M text-image pairs from COYO-700M, filtered to only keep images with at least 256 resolution
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- 10M text-video pairs from WebVid10M
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- 3M text-video pairs from a subset of InternVid10M
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- 73K text-video chat pairs from Valley-Instruct-73K
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- 100K text-video chat pairs from Video-ChatGPT
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