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+ ---
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+ inference: false
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+ ---
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+
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+ <br>
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+ <br>
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+
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+ # LWM-1M-Jax Model Card
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+
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+ ## Model details
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+
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+ **Model type:**
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+ LWM-1M-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-1M-Jax was trained in January 2024.
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+
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+ **Paper or resources for more information:**
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+ https://largeworldmodel.github.io/
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+
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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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+
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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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+
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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