SigLIP2 Base — CoreML

CoreML build of google/siglip2-base-patch16-256, packaged for on-device visual + text search in Cutroom.

Runs fully on-device via the Apple Neural Engine — no image or query ever leaves the machine.

Files

File	Purpose	Bytes
`ImageEncoder.mlpackage.zip`	image tower → 768-d embedding	91,700,398
`TextEncoder.mlpackage.zip`	text tower → 768-d embedding	258,593,083
`tokenizer.zip`	tokenizer assets (64-token context)	5,460,173

Each archive is SHA256-pinned by the client and verified after download.

Model

Architecture: SigLIP2, base, patch16, 256×256 input
Embedding dimension: 768
Context length: 64 tokens

Image and text are embedded into a shared space; retrieval is cosine similarity between them.

License

Apache 2.0, inherited from the base model. Copyright the SigLIP2 authors, Google LLC. This repository redistributes a format conversion of those weights; the weights themselves are unmodified.

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