ChatterUI - A simple app for LLMs

ChatterUI is a native mobile frontend for LLMs.

Run LLMs on device or connect to various commercial or open source APIs. ChatterUI aims to provide a mobile-friendly interface with fine-grained control over chat structuring.

If you like the app, feel free support me here:

Chat With Characters or Assistants

Use on-device Models or APIs

Modify and customize to your liking

Personalize yourself

Features:

• Run LLMs on-device in Local Mode
• Connect to various APIs in Remote Mode
• Chat with characters. (Supports the Character Card v2 specification.)
• Create and manage multiple chats per character.
• Customize Sampler fields and Instruct formatting
• Integrates with your device’s TTS engine for text-to-speech (TTS) support

Usage

Download and install latest APK from the releases page.

IOS is Currently unavailable, I do not have the hardware for IOS development

Local Mode

ChatterUI uses a llama.cpp under the hood to run gguf files on device. A custom adapter is used to integrate with react-native: cui-llama.rn

To use on-device inferencing, first enable Local Mode, then go to Models > Import Model / Use External Model and choose a gguf model that can fit on your device's memory. The importing functions are as follows:

• Import Model: Copies the model file into ChatterUI, potentially speeding up startup time.
• Use External Model: Uses a model from your device storage directly, removing the need to copy large files into ChatterUI but with a slight delay in load times.

After that, you can load the model and begin chatting!

Note: For devices with Snapdragon 8 Gen 1 and above or Exynos 2200+, it is recommended to use the Q4_0_4_8 quantization for enhanced prompt processing.

Remote Mode

Remote Mode allows you to connect to a few common APIs from both commercial and open source projects.

Open Source Backends:

• koboldcpp
• text-generation-webui
• Ollama

Dedicated API:

• OpenAI
• Claude (with ability to use a proxy)
• Cohere
• Open Router
• Mancer
• AI Horde

Customizable backends:

• Generic Text Completions
• Generic Chat Completions

These should be compliant with any Text Completion/Chat Completion backends such as Groq or Infermatic.

Development

Android

To run a development build, follow these simple steps:

• Install any Java 17/21 SDK of your choosing
• Install android-sdk via Android Studio
• Clone the repo:

git clone https://github.com/Vali-98/ChatterUI.git

• Install dependencies via npm and run via Expo:

npm install
npx expo run:android

Building an APK

Requires Node.js, Java 17/21 SDK and Android SDK. Expo uses EAS to build apps which requires a Linux environment.

1. Clone the repo.
2. Rename the eas.json.example to eas.json.
3. Modify "ANDROID_SDK_ROOT" to the directory of your Android SDK
4. Run the following:

npm install
eas build --platform android --local

IOS

Currently untested as I do have the resources to develop for IoS. Assistance here would be greatly appreciated!

Fix For Text Streaming in Development

(Note: This is only applicable for versions prior to Expo SDK 51 in 20fbff2fb6375cfd0d76acf06a9cd13ae9126c57)

ReactNativeFlipper causes streaming to break on Android development builds. To fix this, navigate to:

android/app/src/main/java/com/Vali98/ChatterUI/MainApplication.kt

Then comment out the following:

if (BuildConfig.DEBUG) {
    // hacky fix for: https://github.com/react-native-community/fetch
    // ReactNativeFlipper.initializeFlipper(this, reactNativeHost.reactInstanceManager)
}

Acknowledgement

• llama.cpp - the underlying engine to run LLMs
• llama.rn - the original react-native llama.cpp adapter