Private LLM: Secure, Offline AI Chatbot for Apple Devices

Private LLM is a privacy-first, locally-run AI chatbot designed for iPhone, iPad, and Mac, enabling users to interact with powerful open-source language models entirely offline—without cloud dependency, tracking, or logins. Built by a dedicated European team, it delivers high-performance AI capabilities through advanced quantization techniques like OmniQuant and GPTQ, optimized with Metal kernels for seamless operation on Apple Silicon and Intel Macs. Ideal for individuals, writers, and developers who prioritize data security and autonomy, Private LLM supports over 60 open-source models—including specialized coding models like Qwen 2.5 Coder—across a wide range of device capabilities. With deep integration into the Apple ecosystem via Siri, Apple Shortcuts, and x-callback-url, it empowers no-code automation and system-wide language services such as grammar correction, summarization, and text rephrasing in over 140 languages. The app offers lifetime access with a one-time purchase, supports Family Sharing for up to six users, and encourages community-driven development through active engagement on Discord.

Key Features:

• Fully Offline Operation: All data and processing remain on-device with no internet access or cloud storage.
• On-Device Privacy: No tracking, logging, or user accounts required—complete data confidentiality.
• Advanced Quantization: Uses OmniQuant and GPTQ techniques to maintain high model accuracy and performance at reduced resource usage.
• Support for Multiple Open-Source Models: Includes DeepSeek R1 Distill, Llama 3.3, Phi-4, Qwen 2.5, Google Gemma 2, Gemma 3, and more.
• Model Size Flexibility: Supports models from 0.5B to 32B parameters, with compatibility tailored to device RAM.
• Apple Ecosystem Integration: Works with Siri, Apple Shortcuts, and App Intents for no-code automation workflows.
• x-callback-url Support: Integrates with over 70 iOS and macOS apps for powerful app chaining.
• System-Wide Language Services: Offers offline grammar correction, summarization, text shortening, and rephrasing on macOS.
• Model Customization: Allows users to adjust behavior via system prompts.
• Cross-Device Access: One-time purchase unlocks the app across all Apple devices with Family Sharing.
• High-Performance Inference: Optimized with Metal kernels for fast, efficient processing on Apple hardware.
• No Subscription Fees: Lifetime access with no recurring charges.
• Community-Driven Development: Active Discord community for feedback, suggestions, and support.
• Commercial Use Allowed: Models like Qwen 2.5 Coder are Apache 2.0 licensed, enabling free customization and integration.
• Android Beta Access: Available via direct APK download (not on Google Play Store).

Pricing: Private LLM is a one-time payment with no subscription fees, offering lifetime access across all Apple devices through Family Sharing.

Conclusion: Private LLM stands out as a top-tier, privacy-focused AI assistant for Apple users, combining powerful local AI performance, seamless ecosystem integration, and user-friendly customization—making it an essential tool for anyone who values security, speed, and independence from cloud-based services.