siglip2-base-coreml / README.md
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Add SigLIP2 base CoreML build for on-device search
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metadata
license: apache-2.0
base_model: google/siglip2-base-patch16-256
tags:
  - coreml
  - siglip2
  - image-text-retrieval
library_name: coreml

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.