Private LLM

Private LLM is a Customer Support & CX tool that provides local and private AI chat for Apple devices. It runs DeepSeek R1, Llama 3.3, and Qwen3 models offline with a one-time purchase.

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At a glance

Pricing

Paid

Free tier

API

Skill level

Mixed

About

What is Private LLM?

Private LLM is a privacy-focused AI chatbot designed for iPhone, iPad, and Mac users, enabling local and offline AI interactions. It supports various large language models like DeepSeek R1, Llama 3.3, and Qwen3, ensuring uncensored chat without internet connectivity. The tool differentiates itself through advanced model quantization techniques like OmniQuant and GPTQ, which offer superior performance and accuracy compared to other local AI solutions. It's a one-time purchase with no subscription fees, emphasizing user privacy by processing all data on-device with zero tracking. Private LLM also boasts advanced features like attention sinks and sliding window attention, making it significantly faster than competitors on the same hardware.

Best used for

Ideal for Apple device owners who need to engage in private, uncensored AI conversations, run large language models directly on their device, and ensure their data remains confidential. Especially valuable for users prioritizing privacy and seeking high-performance local AI without recurring subscription costs.

Common actions

run AI models locally

chat with AI offline

ensure data privacy

automate workflows with AI

open-source llm modelstext generationone-time feeMacOSno subscriptionHigh Performanceuser privacyiosofflineshortcuts+ 7 more

Capabilities

Key features

Local offline AI chat
Advanced model quantization
Supports Llama 3/Qwen/Gemma
No subscription fees
Apple Shortcuts integration
Siri integration
Multi-language support

Target Audience

privacy-conscious individualsdevelopersstudentsresearchers

Integrations

apple-shortcutssiri

Pricing & Plans

Paid

Private LLM One-Time Purchase

FAQs

What makes Private LLM different from other local AI solutions?

Private LLM uses advanced OmniQuant and GPTQ quantization techniques for superior model performance and accuracy, unlike the naive quantization used by competitors. It also features advanced capabilities not found in llama.cpp or MLX-based apps, such as attention sinks and sliding window attention, resulting in faster performance.

What devices can run Private LLM effectively?

While older iPhones and iPads can run smaller models, the best experience is on iPhone 15 Pro or newer (8GB RAM) and iPad Pro (16GB RAM). For Macs, Apple Silicon models with 8GB RAM or more are strongly recommended, with 48GB RAM for optimal performance with larger models.

Why is Private LLM a paid app and not free?

Private LLM is a bootstrapped product that prioritizes quality and privacy. The one-time purchase covers the significant resources required for advanced model quantization and allows the developers to focus on product quality without VC pressure to surveil or monetize users aggressively.

Does Private LLM support reading documents or files (RAG)?

Private LLM does not currently support Retrieval-Augmented Generation (RAG). While it offers a larger context length (8K tokens on iOS/iPad, 32K on Mac) than competitors, local AI still faces challenges with hallucinations when processing long textual content. Server-based solutions are currently more reliable for RAG.

Why can't Private LLM load models directly from HuggingFace?

Private LLM quantizes models in-house using advanced techniques like OmniQuant and GPTQ, which takes numerous hours on GPUs. This meticulous process ensures optimized speed, accuracy, and quality, outperforming readily available GGUF files from Hugging Face.

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Voice & Call Center Email & Chat Support Customer Feedback Community Management Customer Success Multilingual Support

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