---
license: apache-2.0
base_model: google/siglip2-base-patch16-256
tags:
  - coreml
  - siglip2
  - image-text-retrieval
library_name: coreml
---

# SigLIP 2 B/16-256 — Core ML (mirror)

Core ML build of SigLIP 2 (base, patch16, 256px) — 8-bit palettized weights,
ready to run on-device on Apple Silicon. This repository is a **bit-identical
mirror** re-hosted by AgenticCutter for distribution control (see
[Attribution](#attribution)).

Both encoders emit **L2-normalized 768-dimensional embeddings**, so an image
embedding and a text embedding can be compared directly via cosine similarity
(dot product) for zero-shot image-text retrieval and on-device visual search.

## Attribution

- **Base weights**: [google/siglip2-base-patch16-256](https://huggingface.co/google/siglip2-base-patch16-256),
  Google, licensed [Apache-2.0](https://www.apache.org/licenses/LICENSE-2.0).
- **Core ML conversion**: [palmier-io/siglip2-base-coreml](https://huggingface.co/palmier-io/siglip2-base-coreml)
  (8-bit palettized Core ML conversion of the SigLIP 2 base weights), licensed
  Apache-2.0. The three model files below are redistributed **unmodified**
  (same bytes, same sha256) from that source.
- **This repository**: a bit-identical, sha256-verified re-host of the
  palmier-io Core ML artifacts, maintained by AgenticCutter so the app can
  resolve a stable, first-party-controlled download URL. The model is loaded
  at **runtime** (on first use of on-device visual search) and is never
  bundled inside the AgenticCutter application binary.

## Files

| File | Description |
|---|---|
| `ImageEncoder.mlpackage.zip` | Core ML image encoder, zipped `.mlpackage`. Outputs a 768-d L2-normalized image embedding. |
| `TextEncoder.mlpackage.zip` | Core ML text encoder, zipped `.mlpackage`. Outputs a 768-d L2-normalized text embedding for the same joint space. |
| `tokenizer.zip` | Tokenizer assets required by the text encoder. |
| `manifest.json` | Per-file sha256 + byte-size manifest, plus model metadata (embedding dim, image size, context length). |

## Verifying integrity

Every file's sha256 is pinned in `manifest.json` and in AgenticCutter's own
`SearchIndexConfig.swift` build manifest. Verify after download:

```bash
shasum -a 256 ImageEncoder.mlpackage.zip TextEncoder.mlpackage.zip tokenizer.zip
```

Expected hashes are listed in `manifest.json` in this repository.