PrivateLLM

PrivateLLM is a casual chatting tool. Private LLM runs uncensored open source models like DeepSeek R1, Llama 3.3, Qwen3 and Gemma 3 entirely on iPhone, iPad and Mac, with no account, no tracking and no internet needed after the model download.

Private LLM is a chat app for iPhone, iPad and Mac that runs open source language models directly on the device instead of calling a cloud server. Conversations stay local, there is no account to create, no tracking and no server side logs. After the first model download the app works without an internet connection, which makes it usable on flights, in restricted networks or anywhere a user would rather not send text to a third party. The model library covers more than 140 open source options, including DeepSeek R1 Distill, Llama 3.3 70B, Qwen3 4B, Phi 4 and Google Gemma 3. A picker helps match a model to the device, available RAM and intended use case, since larger models need more memory than a phone or base iPad can spare. The developer's main technical claim is quantization: Private LLM ships OmniQuant and GPTQ builds tuned per model, and the site argues these preserve output quality better than the RTN quantization used by MLX and llama.cpp wrapper apps such as Ollama and LM Studio at a smaller memory cost. Beyond the chat window, the app connects to Siri and Apple Shortcuts without code, so users can build workflows that summarize text, draft writing or pass responses into apps that support the x-callback-url specification. On macOS it adds a system wide service: selecting text in almost any app and choosing Private LLM rewrites, summarizes or corrects it on-device, with support for English and major Western European languages. This is not a hosted assistant competing with ChatGPT on raw capability. It suits privacy conscious individuals, writers, developers and families on Apple hardware who prefer a flat purchase to a subscription. The buyer profile matters: users who need frontier model quality, Android support or team collaboration will find the local approach limiting, while anyone whose priority is keeping prompts off remote servers gets a coherent, self-contained tool.