Description This is a fine tuned google/siglip-so400m-patch14-384 for the purpose of quantizing the embeddings to binary. It's only using the first 1024 embeddings, so if you use all 1152 of them your results will be less than desirable.

I updated the model today (April 30th) and evals are much better than before, but I'm continuing training so perf should only get better from here.

Evals Coming soon

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Model size

0.4B params

Tensor type

F16

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