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LLM Hub

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 About LLM Hub

Local AI Assistant on your phone

Platforms

Web Self-hosted Android

Languages

Kotlin

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LLM Hub πŸ€–

LLM Hub is an open-source mobile app for on-device LLM chat and image generation, available for both Android and iOS. It's optimized for mobile usage (CPU/GPU/NPU acceleration) and supports multiple model formats so you can run powerful models locally and privately.

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πŸ“Έ Demo & Screenshots

Vibe Coder Demo on iOS Image Generation on Android
Vibe Coder using Gemma 4 model on iPhone (HTML preview) Stable Diffusion image generation on Android

πŸš€ Features

πŸ› οΈ AI Tools Suite

Tool Description
πŸ’¬ Chat Multi-turn conversations with RAG memory, web search, TTS auto-readout, and multimodal input
πŸ€– creAItor [NEW] Design custom AI personas with specialized system prompts (PCTF) in seconds
πŸ’» Vibe Coder [NEW] Explain your app idea and watch it be built in real-time with live HTML/JS preview
✍️ Writing Aid Summarize, expand, rewrite, improve grammar, or generate code from descriptions
🎨 Image Generator Create images from text prompts using Stable Diffusion 1.5 with swipeable gallery
🌍 Translator Translate text, images (OCR), and audio across 50+ languages - offline
πŸŽ™οΈ Transcriber Convert speech to text with on-device processing
πŸ›‘οΈ Scam Detector Analyze messages and images for phishing with risk assessment
πŸ—£οΈ VibeVoice [NEW] Hands-free AI voice chat

πŸ” Privacy First

  • 100% on-device processing - no internet required for inference
  • Zero data collection - conversations never leave your device
  • No accounts, no tracking - completely private
  • Open-source - fully transparent

⚑ Advanced Capabilities

  • GPU/NPU acceleration for fast performance
  • Text-to-Speech with auto-readout
  • RAG with global memory for enhanced responses
  • Import custom models (.task, .litertlm, qnn,.mnn, .gguf)
  • Direct downloads from HuggingFace
  • 16 language interfaces

Quick Start

  1. Download from Google Play or the App Store, or build from source
  2. Open Settings β†’ Download Models β†’ Download or Import a model
  3. Select a model and start chatting or generating images

Technology

  • Android: Kotlin + Jetpack Compose (Material 3), Nexa SDK
  • iOS: Swift + SwiftUI, Run Anywhere SDK, Apple Foundation Model
  • LLM Runtime: MediaPipe, LiteRT, Llama.cpp (via Run Anywhere SDK)
  • Image Gen: Qualcomm QNN

Acknowledgments

  • Nexa SDK β€” GGUF model inference support (credit shown in-app About) ⚑
  • Run Anywhere SDK β€” iOS model runtime and LLM execution framework πŸš€
  • Google, OpenAI, Meta, Microsoft, IBM, LiquidAI, Mistral, Primsm ML, HuggingFace β€” model and tooling contributions

Development Setup

Android local development (Android Studio + Gradle)

git clone https://github.com/timmyy123/LLM-Hub.git
cd LLM-Hub/android
./gradlew assembleDebug
./gradlew installDebug

Android-only local configuration

Setting up Hugging Face Token for Development

To use private or gated models, add your HuggingFace token to android/local.properties (do NOT commit this file):

HF_TOKEN=hf_xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx

Save and sync Gradle in Android Studio; the app will read BuildConfig.HF_TOKEN at build time.

Dev Premium Flag

To skip ads and unlock all premium features locally without a real IAP purchase, add this to android/local.properties:

DEBUG_PREMIUM=true

Set it back to false before making a production build.

Model License Acceptance

Some models on HuggingFace (especially from Google and Meta) require explicit license acceptance before downloading. When building the app locally:

  1. Ensure you have a valid HuggingFace read token in local.properties (see above)
  2. For each model you want to download:

Note: This is only required for local development builds. The Play Store version uses different authentication and does not require manual license acceptance for each model.

iOS local development (macOS + Xcode)

Prerequisites

  • macOS with Xcode installed (use a version that matches your iOS device version)
  • An Apple ID signed into Xcode (free Personal Team works for local device testing)
  • iPhone with Developer Mode enabled if you run on real hardware

Build and run on iPhone

  1. Clone the repo and open the iOS project:
git clone https://github.com/timmyy123/LLM-Hub.git
cd LLM-Hub
open ios/LLMHub/LLMHub.xcodeproj
  1. In Xcode, select target LLMHub β†’ Signing & Capabilities:
    • Set your Team
    • Set a unique Bundle Identifier (for example: com.yourname.llmhub)
    • Keep Automatically manage signing enabled
  2. Select your iPhone as the run destination and press Run.

If you use Xcode beta

If your phone is on a newer iOS build and requires Xcode beta support, switch CLI tools:

sudo xcode-select -s /Applications/Xcode-beta.app/Contents/Developer
xcodebuild -version

Useful iOS dev troubleshooting

  • If signing fails, re-check Team + Bundle Identifier in target settings.
  • If build cache acts stale, clean DerivedData:
rm -rf ~/Library/Developer/Xcode/DerivedData/LLMHub-*
  • Build logs: Report Navigator (Cmd+9)
  • Runtime logs: Debug Console (Cmd+Shift+Y)

Contributing

  • Fork β†’ branch β†’ PR. See CONTRIBUTING.md (or open an issue/discussion if unsure).

License

  • Source code is licensed under the PolyForm Noncommercial License 1.0.0.
  • You are free to use, study, and build on this project for non-commercial purposes.
  • Commercial use β€” including distributing the app, charging for it, or monetizing it with ads or IAP β€” is not permitted without explicit written permission from the author.
  • Contact [email protected] for commercial licensing enquiries.

Support

Notes

  • This README is intentionally concise β€” consult ModelData.kt for exact model variants, sizes, and format details.

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