VideoPrism-B/L are the composition of a Vision Transformer image encoder and four temporal-attention Transformer layers. The image encoder and text encoder are initialized from CoCa, which is trained on WebLI following the CoCa recipes. VideoPrism is based on the ViViT factorized video encoder architecture.
Running this yourself: likely needs a high-memory cloud gpu.
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28.3
Quality Score
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Arena ELO
Unknown
Parameters
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Context
This measures the amount of verifiable public evidence we have, not how capable the model is. A missing field means it has not been verified yet, not that its value is zero.
13 of 22 public signals
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1.4K
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Jul 2025
Released
3/5 signals
1/4 signals
3/5 signals
3/4 signals
3/4 signals
Parameters
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Training compute
Not reported
Dataset scale
Not reported
Base model
Not reported
Gaps we are still tracking
Metadata sources