A cosy home for your LLMs.
Llama is a macOS menu bar app for running local LLMs.
When you start Llama, it runs a local server at http://localhost:9931/v1.
If you have llama.cpp installed, Llama uses it. Otherwise, it installs a prebuilt binary for your Mac. Models you've already installed via llama.cpp show up in the app automatically. You can install any GGUF model from Hugging Face, and Llama also recommends models that fit your Mac's hardware.
You can chat with any model in the built-in WebUI, connect other apps (coding agents, chat UIs, editors), or use the API directly. Models load when requested and unload when idle, so they don't take up memory when not in use.
4 MB native macOS appllama.cpp and other toolsList installed models:
Send a message to a model:
See complete API reference in the llama.cpp server docs (opens in a new tab).
The app configures each model for your Mac and writes that config to models.ini, which it regenerates on every launch. To change a setting, or add one the app doesn't set, edit ~/.config/llama/models.user.ini instead -- the app only reads that file, and merges it into the config it generates.
Use the same section header the app uses (org/repo:QUANT), and list only the keys you want to change. Keys are llama serve options without the leading dashes.
A section for a model the app didn't find is passed through as-is, which is how you point at weights or a draft model from another repo.
Anything you set here wins over the app's own value, including settings derived from how much memory your Mac has. If a key can't be applied, the app ignores the file and the menu says which option was at fault.
Run and chat with open language models such as Gemma, Qwen and DeepSeek, with a local REST API
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A commented template is written to this path on first launch.
By default the server is reachable only from your Mac. "Allow network access" in Settings changes that, and what it offers depends on your setup.
Tailscale — binds the server to your Tailscale address. Your other devices reach it from anywhere, Tailscale authenticates and encrypts the connection, and the server stays invisible on whatever network you're on. This is the option to use on a laptop. Shown only when Tailscale is installed and signed in.
Description adapted from the project README.
Community project. Help and bug reports go to the maintainers on GitHub; AppsXi does not provide support for this app.
MIT License
Use, change and share it freely, including in closed source apps, as long as the copyright notice stays.
Read the full licenseAppsXi checks every version before it is listed.
Signed by Caret.io OOD (V89L745MNN)
Apple Developer ID team V89L745MNN
Notarized by Apple
Hardened Runtime on
File matches the hash GitHub published
SHA-256 f772824972442506614596879bb69192c4c8c17f4ead5d6bbb3ccdeef73f9b00
No malware found
ClamAV 1.5.4 on Oct 14, 2026
Install and behavior test in a virtual machine: not run yet
Coming soon for all listings.
Updates itself from the maintainer's own feed
sparkle: https://releases.erusev.com/llama/appcast.xml. AppsXi checks each new version too.
Checked Oct 14, 2026 · Mac
DMG · 1.2 MB
Yes. Llama is free and open source under the MIT License. AppsXi lists the maintainers' official release and does not charge for it.
AppsXi downloads every version of Llama from the maintainers' official GitHub release and checks it before it is listed. For version 0.44.0 (checked Oct 14, 2026), the Mac download is signed by its developer and notarized by Apple, each file matches the checksum GitHub publishes for the release, byte for byte and a malware scan found nothing.
Yes. Llama has a native Apple silicon build.
Llama needs macOS Sequoia (15) or later.
Llama is an open source project by ggml on GitHub (ggml-org/Llama-macOS). Help and bug reports go to its maintainers there.
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