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Download
Note: If you're using a custom ROM (LineageOS, GrapheneOS, CalyxOS), download the
custom-rom-supportAPK from the latest release instead.
Install via Obtainium
- Open Obtainium on your phone
- Tap the + button
- Paste this repo URL:
https://github.com/jegly/Box - Tap Add
Recommended for most users: Main version
Which version should I install?
| Version | For |
|---|---|
| Main | Stock Android (Pixel, Samsung, etc.) |
| Custom ROM | GrapheneOS, LineageOS, CalyxOS — no Google services |
-
The in-app updater is also available in Settings
Setup steps
- Tap the badge for your version above — this opens Obtainium with the repo pre-filled
- Under APK filter regex, enter one of the following:
- Main:
Main - Custom ROM:
custom-rom-support
- Main:
- Tap Add — Obtainium will find the latest release and install it
- Future updates will be detected automatically
Note: As of v2.0.0, the in-app App version matches the Box release version (2.0.0) — the earlier mismatch with the upstream Google AI Edge Gallery build number (which showed 1.0.15) is fixed (#67). Box releases are tracked via GitHub tags. Use Settings → Check for updates to see if a newer Box release is available.
Box is a security-hardened feature rich fork of Google AI Edge Gallery — with on-device image generation, AI image upscaling, voice mode (speech-to-speech AI chat), voice input, multilingual text-to-speech, document analysis, vision AI, biometric lock, encrypted chat history, llama.cpp support, and GGUF model import and more
[!IMPORTANT]
Disclaimer
Box is an independent community fork of Google AI Edge Gallery and is not affiliated with or endorsed by Google LLC. Google branding has been replaced throughout. All credit for the underlying platform goes to Google and the original contributors — this fork simply builds on top of their work.
Changelog v1.0.7 – v2.0.2
| Version | Feature | Details |
|---|---|---|
| v2.0.2 | New model tier — Gemma 3 270M | Brand-new ultra-lightweight model (~460–555 MB) — fast and low-RAM, ideal for quick tasks on modest devices. Ships dedicated NPU builds for Snapdragon (SM8550 / 8650 / 8750 / 8750-AB / 8850) and MediaTek Dimensity (MT6991 / MT6993). |
| v2.0.2 | New models — Gemma 3 1B-IT with broad NPU coverage | Gemma 3 1B now ships dedicated on-device NPU builds across Snapdragon (SM8550 → SM8850, incl. the Samsung SM8750-AB) and MediaTek Dimensity (MT6989 / 6991 / 6993), plus a universal GPU/CPU build. Each device automatically downloads the build that matches its chip. |
| v2.0.2 | New models — Gemma 3n E2B & E4B (multimodal) | Text, image and audio input, up to 32K context, with Gemma 3n's selective-parameter architecture. Run on GPU/CPU on every device; NPU-accelerated on MediaTek (MT6993). |
| v2.0.2 | Samsung Galaxy S26 Ultra (SM8850) NPU models | Added SM8850 ("Snapdragon 8 Elite Gen 5") allowlist keys across the new Gemma 3 1B and 270M entries, so dedicated NPU models now appear and run on the S26 Ultra. |
| v2.0.1 | Fix — Snapdragon 8 Elite NPU crash (SM8750 / SM8750-AB) | The audio sub-graph was incorrectly routed to the NPU on all SM8750 devices, causing an instant hard crash (SIGABRT) when loading the Snapdragon NPU model — no error popup, just an immediate exit. Audio always uses CPU regardless of the primary backend, matching upstream behaviour. Fixes Red Magic NX799J, iQOO 13, and any other SM8750 or SM8750-AB device. |
| v2.0.1 | Fix — Samsung Galaxy S25 / S26 Ultra NPU models not listed | Samsung's "Snapdragon 8 Elite for Galaxy" variant reports SM8750-AB as its SoC identifier, not SM8750. The model allowlist only matched sm8750, so dedicated NPU models were invisible to all S25 and S26 Ultra users. |
| v2.0.1 | New model — Gemma 4 E2B (Qualcomm QCS8275 / Dragonwing IQ8) | Added an NPU model entry for the Qualcomm QCS8275 SoC. Appears automatically on matching hardware. |
| v2.0.0 | Google Tensor G5 (Pixel 10) acceleration | Gemma now runs on the Pixel 10's Tensor G5 TPU, not just the GPU. Supported models route to the TPU automatically and expose a dedicated TPU option in the accelerator picker. |
| v2.0.0 | MediaTek NPU support | Bundled the MediaTek dispatch runtime and added the first models that run on MediaTek Dimensity neural engines. |
| v2.0.0 | New models | Gemma 4 E2B (Tensor G5) and Gemma 4 12B (GPU); Gemma 3 1B-IT (Tensor G5), Gemma 3n E2B (MediaTek, multimodal) and Qwen3 0.6B (MediaTek) |
| v2.0.0 | Face Recognition — on-device & encrypted | New tool in the image section: detect, enroll and name people, then recognise them in photos or live from the camera, fully offline. Multi-sample enrollment with face alignment, capture-to-add, an on-screen face mesh, and a settings panel (match strictness, fro |