Llama for macOS

Llama is a native macOS app from the ggml-org team — the people behind llama.cpp — that gives local large language models a cosy home on your Mac. Instead of wrestling with command-line flags, you get a proper desktop app: download models, chat with them, and run capable LLMs entirely on your own machine using Apple silicon acceleration, with nothing sent to the cloud. The project has around 1,700 stars and is actively maintained, with code last updated in 2026.

Overview

The ggml team builds the inference technology underneath much of the local-LLM ecosystem, and Llama is their own polished front end for it on macOS. It builds on llama.cpp’s efficient GGUF model format and Metal acceleration, wrapping model management and chat in a Swift-native interface that feels like a normal Mac app rather than a developer tool.

Key Features

• Native macOS chat app for local LLMs, built by the llama.cpp team
• Apple silicon acceleration via llama.cpp and the GGUF model ecosystem
• Download and manage models from inside the app
• Fully offline and private: prompts never leave your machine
• Swift implementation with a clean, lightweight interface
• MIT licensed and open source

💳 Pricing

Free. Llama is open source under the MIT license and the app is a free download from llama.app.

Who Is It For

Mac users who want to chat with powerful open models privately and offline, and local-LLM fans who prefer a native app over terminal commands and web UIs.

The app belongs to the ggml-org ecosystem around GGML and llama.cpp — the same technology that powers many local inference tools — so models in the widely used GGUF format work with it directly.