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# LWM-128K-Jax Model Card |
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## Model details |
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**Model type:** |
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LWM-128K-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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The model is a Jax checkpoint. Inference code and instructions can be found at: https://github.com/LargeWorldModel/lwm |
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**Model date:** |
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LWM-128K-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 |
