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# ChatterUI - A simple app for LLMs
-ChatterUI is a native mobile frontend for managing chat files and character cards inspired by SillyTavern.
-It aims to provide a mobile friendly experience to inferface with Large Language models.
-ChatterUI supports multiple backends and can even run GGUF models locally on your device.
+ChatterUI is a native mobile frontend for LLMs.
-Support the development of this app here:
+Run LLMs on device or connect to various commercial or open source APIs. ChatterUI aims to provide a mobile friendly experience to inferface with Large Language models, while also providing low level control on how your chats are structured.
+
+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
+
+
+
-## Usage
+## Features:
-#### Android
+- 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 your on-device TTS engine for TTS support.
+
+
+
+# Usage
Download the and install latest APK from the [releases](https://github.com/Vali-98/ChatterUI/releases/latest) page.
-IOS is Currently unavailable, I do not have the means to test and deploy on IOS :(
+IOS is Currently unavailable, I do not have the hardware for IOS development
+
+## Local Mode
+
+ChatterUI uses a [llama.cpp](https://github.com/ggerganov/llama.cpp) under the hood to run gguf files on device. A custom adapter is used to integrate with react-native: [cui-llama.rn](https://github.com/Vali-98/cui-llama.rn)
-## Supported Backends
+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:
-### On Device Inferencing:
+- Import Model: Copies the model file into ChatterUI - this may speed up the startup process
+- Use External Model: Uses a model from your device storage directly - this removes the need to copy large files into ChatterUI, but loads models slightly slower
-- Local device inferencing using [cui-llama.rn](https://github.com/Vali-98/cui-llama.rn)
+After that, you can load the model and begin chatting!
-_To use Local inferencing, go to API > Local > Import Model and choose a gguf model that can fit on your device's memory. Then load the model to begin!_
+_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._
-_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:
@@ -113,3 +141,8 @@ if (BuildConfig.DEBUG) {
// ReactNativeFlipper.initializeFlipper(this, reactNativeHost.reactInstanceManager)
}
```
+
+## Acknowledgement
+
+- [llama.cpp](https://github.com/ggerganov/llama.cpp) - the underlying engine to run LLMs
+- [llama.rn](https://github.com/mybigday/llama.rn) - the original react-native llama.cpp adapter
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