SigLIP is CLIP, a multimodal model, with a better loss function. The sigmoid loss operates solely on image-text pairs and does not require a global view of the pairwise similarities for normalization. This allows further scaling up the batch size, while also performing better at smaller batch sizes.
Running this yourself: can likely run on your own machine.
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26.1
Quality Score
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Arena ELO
203M
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.
14 of 22 public signals
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70.4K
Downloads
12
Likes
Jan 2024
Released
4/5 signals
1/4 signals
3/5 signals
3/4 signals
3/4 signals
Parameters
203M
Training compute
Not reported
Dataset scale
Not reported
Base model
Not reported
Gaps we are still tracking
Metadata sources