Private LLM

Private LLM

Private LLM is an AI chatbot that runs entirely offline on iPhone, iPad, and Mac devices. It supports over 140 open-source language models, including advanced ones like Llama 3.3 70B, Qwen3 4B, and Google Gemma 3. The app integrates deeply with Apple features such as Siri, Shortcuts, and macOS system services, enabling users to build custom AI workflows without coding.

What sets Private LLM apart is its use of advanced OmniQuant and GPTQ quantization techniques, which deliver higher quality and faster AI inference compared to other local AI apps. It offers uncensored AI chat models suitable for creative writing, roleplay, coding, and more, all while ensuring full privacy with no tracking or cloud data transmission.

Private LLM is a one-time purchase that unlocks access across all Apple devices with Family Sharing for up to six people, avoiding subscriptions or usage caps. The app supports multilingual AI, biomedical models, and specialized use cases like survival guidance. Developed by two engineers in the EU without venture capital funding, Private LLM prioritizes user privacy and data security, making it a unique local AI solution for Apple users.

Top Features:
  1. Runs 140+ open-source AI models fully offline on Apple devices 🖥️📱

  2. Integrates with Siri and Apple Shortcuts for no-code AI workflows 🎙️🔗

  3. Supports uncensored AI chat models for creative and roleplay use 🎭✍️

  4. One-time purchase unlocks app across iPhone, iPad, and Mac with Family Sharing for up to six people 👨‍👩‍👧‍👦💰

  5. Advanced OmniQuant and GPTQ quantization for faster, higher-quality AI responses ⚡🤖

  6. Supports large models like Llama 3.3 70B on Macs with 48GB+ RAM

  7. Built-in macOS text rewriting and summarization services

Pros:
  1. Runs AI models fully offline ensuring complete privacy

  2. Supports a wide range of open-source models optimized for Apple devices

  3. Deep integration with Apple ecosystem including Siri and Shortcuts

  4. One-time purchase with Family Sharing, no subscriptions required

  5. Advanced quantization techniques deliver better performance and output quality

Cons:
  1. Model downloads can be large and require significant device storage

  2. iOS devices have RAM limits restricting the largest models to Macs

  3. Background model downloads are limited on iOS devices

FAQs:

Can I run Private LLM fully offline on my iPhone?

Yes, Private LLM runs fully offline on your iPhone after downloading a model once, with all AI processing happening locally without any internet connection.

Does Private LLM require a subscription?

No, Private LLM is a one-time purchase that unlocks the app across all your Apple devices with Family Sharing, with no subscription required.

Which AI models can I run with Private LLM?

Private LLM supports over 140 open-source models including Llama 3.3 70B, Qwen3 4B, DeepSeek R1, Google Gemma 3, and specialized coding and uncensored models.

How does Private LLM protect my privacy?

Private LLM keeps all conversations and data on your device; it does not require accounts, tracking, or send data to the cloud, ensuring full privacy.

Can I integrate Private LLM with Siri and Shortcuts?

Yes, Private LLM integrates with Siri and Apple Shortcuts, allowing you to create AI-driven workflows without coding.

What devices support the largest AI models in Private LLM?

Apple Silicon Macs with 48GB or more RAM can run the largest models like Llama 3.3 70B in Private LLM, while iPhones and iPads run smaller models optimized for their hardware.

Are uncensored AI chat models available in Private LLM?

Yes, Private LLM offers uncensored models such as Qwen3 4B Heretic and EVA LLaMA 3.33 70B for unrestricted AI conversations.

Category:

Pricing:

Paid

Tags:

AI Chatbot
iOS
macOS
Open-Source
Privacy
Apple Devices
Offline AI
LLM
Productivity
Personal Data Security
iOS
macOS
Open-Source
Privacy
Offline AI
LLM
Apple Devices
Siri Integration
Shortcuts
Uncensored AI
Coding AI
Multilingual AI

Tech used:

Next.js
Node.js
Tailwind CSS
Ruby
GitHub
OmniQuant Quantization
GPTQ Quantization
Apple Metal API
Swift
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