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ChatterUI
Simple frontend for LLMs built in react-native.
Stars: 839
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ChatterUI is a mobile app that allows users to manage chat files and character cards, and to interact with Large Language Models (LLMs). It supports multiple backends, including local, koboldcpp, text-generation-webui, Generic Text Completions, AI Horde, Mancer, Open Router, and OpenAI. ChatterUI provides a mobile-friendly interface for interacting with LLMs, making it easy to use them for a variety of tasks, such as generating text, translating languages, writing code, and answering questions.
README:
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:
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Use on-device Models or APIs
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Modify And Customize
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Personalize Yourself
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- 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 text-to-speech (TTS) engine
Download and install latest APK from the releases page.
iOS is Currently unavailable due to lacking iOS hardware for development
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 quantization for optimized performance.
Remote Mode allows you to connect to a few common APIs from both commercial and open source projects.
- koboldcpp
- text-generation-webui
- Ollama
- OpenAI
- Claude (with ability to use a proxy)
- Cohere
- Open Router
- Mancer
- AI Horde
- Generic Text Completions
- Generic Chat Completions
These should be compliant with any Text Completion/Chat Completion backends such as Groq or Infermatic.
Is your API provider missing? ChatterUI allows you to define APIs using its template system.
Read more about it here!
To run a development build, follow these simple steps:
- Install any Java 17/21 SDK of your choosing
- Install
android-sdk
viaAndroid 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
Requires Node.js, Java 17/21 SDK and Android SDK. Expo uses EAS to build apps which requires a Linux environment.
- Clone the repo.
- Rename the
eas.json.example
toeas.json
. - Modify
"ANDROID_SDK_ROOT"
to the directory of your Android SDK - Run the following:
npm install
eas build --platform android --local
Currently untested as I do not own hardware for iOS development. Assistance here would be greatly appreciated!
Possible issues:
- cui-llama.rn lacking Swift implementation for cui-specific functions
- cui-fs having no Swift integration
- Platform specific shadows
- Exporting files not using shareAsync
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Awesome-LLM-Reasoning
**Curated collection of papers and resources on how to unlock the reasoning ability of LLMs and MLLMs.** **Description in less than 400 words, no line breaks and quotation marks.** Large Language Models (LLMs) have revolutionized the NLP landscape, showing improved performance and sample efficiency over smaller models. However, increasing model size alone has not proved sufficient for high performance on challenging reasoning tasks, such as solving arithmetic or commonsense problems. This curated collection of papers and resources presents the latest advancements in unlocking the reasoning abilities of LLMs and Multimodal LLMs (MLLMs). It covers various techniques, benchmarks, and applications, providing a comprehensive overview of the field. **5 jobs suitable for this tool, in lowercase letters.** - content writer - researcher - data analyst - software engineer - product manager **Keywords of the tool, in lowercase letters.** - llm - reasoning - multimodal - chain-of-thought - prompt engineering **5 specific tasks user can use this tool to do, in less than 3 words, Verb + noun form, in daily spoken language.** - write a story - answer a question - translate a language - generate code - summarize a document
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Chinese-LLaMA-Alpaca-2
Chinese-LLaMA-Alpaca-2 is a large Chinese language model developed by Meta AI. It is based on the Llama-2 model and has been further trained on a large dataset of Chinese text. Chinese-LLaMA-Alpaca-2 can be used for a variety of natural language processing tasks, including text generation, question answering, and machine translation. Here are some of the key features of Chinese-LLaMA-Alpaca-2: * It is the largest Chinese language model ever trained, with 13 billion parameters. * It is trained on a massive dataset of Chinese text, including books, news articles, and social media posts. * It can be used for a variety of natural language processing tasks, including text generation, question answering, and machine translation. * It is open-source and available for anyone to use. Chinese-LLaMA-Alpaca-2 is a powerful tool that can be used to improve the performance of a wide range of natural language processing tasks. It is a valuable resource for researchers and developers working in the field of artificial intelligence.
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Linly-Talker
Linly-Talker is an innovative digital human conversation system that integrates the latest artificial intelligence technologies, including Large Language Models (LLM) 🤖, Automatic Speech Recognition (ASR) 🎙️, Text-to-Speech (TTS) 🗣️, and voice cloning technology 🎤. This system offers an interactive web interface through the Gradio platform 🌐, allowing users to upload images 📷 and engage in personalized dialogues with AI 💬.
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ChatFAQ
ChatFAQ is an open-source comprehensive platform for creating a wide variety of chatbots: generic ones, business-trained, or even capable of redirecting requests to human operators. It includes a specialized NLP/NLG engine based on a RAG architecture and customized chat widgets, ensuring a tailored experience for users and avoiding vendor lock-in.
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agentcloud
AgentCloud is an open-source platform that enables companies to build and deploy private LLM chat apps, empowering teams to securely interact with their data. It comprises three main components: Agent Backend, Webapp, and Vector Proxy. To run this project locally, clone the repository, install Docker, and start the services. The project is licensed under the GNU Affero General Public License, version 3 only. Contributions and feedback are welcome from the community.
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anything-llm
AnythingLLM is a full-stack application that enables you to turn any document, resource, or piece of content into context that any LLM can use as references during chatting. This application allows you to pick and choose which LLM or Vector Database you want to use as well as supporting multi-user management and permissions.
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ai-guide
This guide is dedicated to Large Language Models (LLMs) that you can run on your home computer. It assumes your PC is a lower-end, non-gaming setup.
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Magick
Magick is a groundbreaking visual AIDE (Artificial Intelligence Development Environment) for no-code data pipelines and multimodal agents. Magick can connect to other services and comes with nodes and templates well-suited for intelligent agents, chatbots, complex reasoning systems and realistic characters.
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glide
Glide is a cloud-native LLM gateway that provides a unified REST API for accessing various large language models (LLMs) from different providers. It handles LLMOps tasks such as model failover, caching, key management, and more, making it easy to integrate LLMs into applications. Glide supports popular LLM providers like OpenAI, Anthropic, Azure OpenAI, AWS Bedrock (Titan), Cohere, Google Gemini, OctoML, and Ollama. It offers high availability, performance, and observability, and provides SDKs for Python and NodeJS to simplify integration.
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chatbot-ui
Chatbot UI is an open-source AI chat app that allows users to create and deploy their own AI chatbots. It is easy to use and can be customized to fit any need. Chatbot UI is perfect for businesses, developers, and anyone who wants to create a chatbot.
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onnxruntime-genai
ONNX Runtime Generative AI is a library that provides the generative AI loop for ONNX models, including inference with ONNX Runtime, logits processing, search and sampling, and KV cache management. Users can call a high level `generate()` method, or run each iteration of the model in a loop. It supports greedy/beam search and TopP, TopK sampling to generate token sequences, has built in logits processing like repetition penalties, and allows for easy custom scoring.