Personal GPT
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About Personal GPT
Private LLM is a local AI chatbot for iOS and macOS that works offline, keeping your information completely on-device, safe and private. It doesn't need the internet to work, so your data never leaves your device. It stays just with you. With no subscription fees, you pay once and use it on all your Apple devices. It's designed for everyone, with easy-to-use features for generating text, helping with language, and a whole lot more.
How to Use
Download Private LLM from the App Store, choose from a variety of open-source LLMs, and start chatting. The app integrates with Siri and Shortcuts for custom AI-driven workflows.
Private LLM's
Key Features
- Offline AI chatbot functionality
- Support for various open-source LLMs
- Integration with Siri and Apple Shortcuts
- On-device data processing for privacy
- One-time purchase for use on all Apple devices
Use Cases
- Generating text offline for creative writing or note-taking
- Automating text parsing and generation tasks using Siri and Shortcuts
- Accessing AI assistance without an internet connection
- Enhancing privacy by keeping data on-device
FAQ
What devices are compatible with Private LLM? Private LLM Reddit Here is the Private LLM Reddit: https://www.reddit.com/r/PrivateLLM Private LLM
Key Features
Pros & Cons
- Complete privacy: all processing happens on-device, no data leaves your device
- No ongoing subscription costs — one purchase covers all Apple devices and family
- Supports a wide range of state-of-the-art open-source models with advanced quantization (OmniQuant/GPTQ)
- Deep integration with Siri and Shortcuts enables powerful custom automations without coding
- Offline capability makes it reliable anywhere, regardless of internet access
- macOS writing tools work system-wide for quick text refinement
- Regularly updated with new models and quantization improvements by two dedicated engineers
- Limited to Apple ecosystem (iPhone, iPad, Mac); no Android, Windows, or web support
- Requires downloading large model files initially, which may consume significant storage space
- Performance and model quality depend on device hardware (RAM/GPU), may be slower than cloud AI on older devices
- No cloud sync or cross-device conversation history; each device has its own local data
- Lacks some advanced features found in cloud-based AI assistants (e.g., real-time web search, image generation, multimodal input)
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