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LargeWorldModel/
LWM-Chat-32K-Jax

Name: LWM-Chat-32K-Jax
Availability: InStock

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LWM-32K-Jax Model Card

Model details

Model type: 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.

The model is a Jax checkpoint. Inference code and instructions can be found at: https://github.com/LargeWorldModel/lwm

Model date: LWM-32K-Jax was trained in January 2024.

Paper or resources for more information: https://largeworldmodel.github.io/

License

Where to send questions or comments about the model: https://github.com/LargeWorldModel/lwm/issues

Training dataset

Books3 dataset
700B text-image pairs from Laion-2B-en, filtered to only keep images with at least 256 resolution
400M text-image pairs from COYO-700M, filtered to only keep images with at least 256 resolution
10M text-video pairs from WebVid10M
3M text-video pairs from a subset of InternVid10M
73K text-video chat pairs from Valley-Instruct-73K
100K text-video chat pairs from Video-ChatGPT

LargeWorldModel/LWM-Chat-32K-Jax

LWM-32K-Jax Model Card

Model details

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Training dataset

LargeWorldModel/
LWM-Chat-32K-Jax