---
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`](https://huggingface.co/google/siglip2-base-patch16-256),
packaged for on-device visual + text search in [Cutroom](https://github.com/kuluruvineeth/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.