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5月3日 的 LLM Hub - Local AI Assistant 應用程式分析

LLM Hub - Local AI Assistant

LLM Hub - Local AI Assistant

  • timmy boy
  • Google Play 商店
  • 免費版
  • 工具
Advanced AI runs completely on your phone - no internet required, no data shared, complete privacy guaranteed. State-of-the-art Large Language Models in your pocket! ✨ EIGHT POWERFUL AI TOOLS 📝 SMART CHAT Multi-turn conversations with context awareness, RAG memory, optional web search, text-to-speech output with auto-readout, and support for text, images, and audio input. Create custom AI personas with personalized instructions. ✍️ WRITING AID Summarize documents, expand ideas, rewrite content, improve grammar, and generate code from natural language descriptions. 🎨 IMAGE GENERATOR Create stunning images from text prompts using Stable Diffusion 1.5. Generate multiple variations with swipe-through gallery. All processing happens on-device. 🌍 TRANSLATOR (50+ Languages) Translate text, images (OCR), and audio in real-time. Works completely offline with bidirectional support. 🎙️ TRANSCRIBER Convert audio to text with high accuracy. Supports WAV. All processing on-device. 🎵 VIBECODE Creator Create, customize, and share coded AI personas. Build personalized instruction sets that control AI behavior across all chat sessions. Design your perfect AI assistant with system prompts and descriptions. 💻 CODE ASSISTANT Generate, debug, and explain code with VibeCode-enhanced AI models. Optional web search for documentation and best practices. 🛡️ SCAM DETECTOR Analyze suspicious messages and images for phishing attempts. Get clear risk assessments and detailed explanations. 🚀 CUTTING-EDGE AI MODELS Supported Model Formats: GGUF, ONNX, LiteRT, MediaPipe (MediaPipe, ONNX Runtime, and Nexa SDK inference backends) Featured Models: • Gemma-3 1B (Google) - Fast and efficient • Gemma-3n E2B/E4B (Google) - Multimodal: text, vision, audio • Llama-3.2 1B/3B (Meta) - Powerful open-source • Phi-4 Mini (Microsoft) - Optimized for mobile • Ministral 3B/8B (Mistral AI) - High-performance multilingual with vision support • GPT-OSS Family - Fast, efficient models with ONNX optimization • LFM-2.5 Thinking (Thinking) - Reasoning and long-form generation • Granite Models (IBM) - Enterprise-ready language models • Stable Diffusion 1.5 - On-device image generation All models run 100% on-device with GPU/NPU acceleration. 🔐 PRIVACY & SECURITY • Zero data collection - everything stays on your device • No internet required for AI inference • No accounts, no tracking, no cloud uploads • Open-source and transparent ⚡ ADVANCED FEATURES • Text-to-Speech with auto-readout for hands-free listening • GPU/NPU acceleration for fast performance • Multimodal: text, images, and audio • RAG with global memory for enhanced responses • Create custom AI personas (VibeCode) with personalized instructions • Import custom models (.gguf, .onnx, .task, .litertlm, .mnn) • Direct downloads from HuggingFace for GGUF and ONNX models • Multi-runtime inference: MediaPipe, ONNX Runtime, and Nexa SDK backends • Beautiful Material Design UI • 17 language interfaces 📱 REQUIREMENTS Minimum: Android 8.0+, 2GB RAM, 1-5GB storage Recommended: 6GB+ RAM for best performance 💡 HOW IT WORKS 1. Download AI models in-app (one-time) — GGUF, ONNX, LiteRT, and MediaPipe formats supported 2. Create custom AI personas with VibeCode for personalized behavior 3. Choose your tool: Chat (with personas), Writing Aid, Image Generator, Translator, Transcriber, Code Assistant, or Scam Detector 4. Use AI completely offline with full privacy 5. Optional: Enable web search, upload images/audio, use text-to-speech, or import custom models 🌟 PERFECT FOR • Privacy-conscious users valuing data security • Professionals needing offline AI assistance (VibeCode Custom Personas) • Developers generating and debugging code • Artists and creators generating AI images • Users wanting hands-free voice responses • Students working on writing and research • Travelers requiring offline translation • Anyone protecting against scams 📖 OPEN SOURCE (MIT License) github.com/timmyy123/LLM-Hub
LLM Hub - Local AI Assistant

LLM Hub - Local AI Assistant 使用排名

基於 Similarweb 的算法,根據過去 28 天的安裝數和活躍用戶數進行計算。

所有類別 在
德國--
工具 在
德國--

每日活躍使用者

通過查看LLM Hub - Local AI Assistant 的下載量和每日活躍用戶數,分析 LLM Hub - Local AI Assistant 用戶的使用模式。

位使用者

通過查看LLM Hub - Local AI Assistant 的下載量和每日活躍用戶數,分析 LLM Hub - Local AI Assistant 用戶的使用模式。

解鎖每日活躍使用者
3月4月5月

隨時間變化的 LLM Hub - Local AI Assistant 排名統計

Similarweb 的使用排名和Google Play 商店LLM Hub - Local AI Assistant排名

使用排名

排名

LLM Hub - Local AI Assistant按國家/地區排名

LLM Hub - Local AI Assistant 在其主要類別中排名最高的國家


用戶興趣和熱門類別

LLM Hub - Local AI Assistant用戶使用的熱門類別和應用程式

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