AIRefinery is a mobile app that lets users enhance and refine their text locally on their phones — no data leaves the device.
It runs advanced language models entirely offline, combining the power of LG’s EXAONE 3.5 model with the efficiency of llama.cpp for on‑device inference.
- 🔒 Privacy‑first – all processing happens on your phone, no cloud required.
- ⚡ Fast & Lightweight – powered by optimized
llama.cppinference. - 🧠 State‑of‑the‑art models – uses LG’s EXAONE 3.5 to refine, polish, and enhance text.
- 📱 Runs entirely on-device – works without an internet connection once installed.
- User inputs raw text in the app.
- The app runs the text through the EXAONE 3.5 model, using llama.cpp as the backend.
- Enhanced, polished, or simplified text is returned — instantly and securely.
⚠️ Important:
You must manually add the model file to your project before building the app.
Download or obtain the following model file:EXAONE-3.5-2.4B-Instruct-Q4_K_M.ggufThen place it in:
app/src/main/assets/EXAONE-3.5-2.4B-Instruct-Q4_K_M.gguf
- Clone this repository:
git clone https://github.com/<your-username>/AIRefinery.git
- Place the model file as described above.
- Open the project in Android Studio.
- Sync Gradle and build the app.
- Deploy to your Android device and run.