---
license: gemma
base_model: google/gemma-4-E2B-it-qat-q4_0-unquantized
tags:
  - mlx
  - vision
  - gemma4
  - image-text-to-text
library_name: mlx
---

# Rytability Gemma 4 Vision Tower

The vision tower for Rytability's Gemma 4 E2B model, published as a separate
download so the app can ship the text weights alone and fetch image support
only for users who want it.

| | |
|---|---|
| File | `model-vision.safetensors` |
| Size | 337,171,954 bytes |
| Tensors | 659 (`vision_tower.*`, `embed_vision.*`) |
| Precision | BF16 (unquantized) |
| sha256 | `5b322b050d1f32f0d52203376c04dfe1fbbcd5e41f743d10cf0febf273fec293` |
| Source | `google/gemma-4-E2B-it-qat-q4_0-unquantized` |

## Why BF16

The tower is downloaded rather than bundled, so it does not count against the
app's on-device size budget. Keeping it at full precision is close to free and
it matters for OCR quality: quantizing to 4-bit costs roughly 17 points of OCR
accuracy to save about 220 MB, which is a bad trade for an app whose scanning
feature reads receipts, handwriting and notes.

## Not interchangeable with the Gemma 3 tower

Gemma 4's vision tower is a different architecture with different tensor names
and shapes. It cannot be paired with Gemma 3 text weights, and Gemma 3 vision
weights cannot be paired with Gemma 4 text weights. The two halves of a model
must be swapped together.

## Usage

The file is loaded alongside matching Gemma 4 E2B text weights in a single
directory; MLX reads every `*.safetensors` in that directory as one model.

## License

Gemma Terms of Use: https://ai.google.dev/gemma/terms