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OP·Fredoline Eruo
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RUNLOCALAI · v38
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  5. /How to install LM Studio on macOS
HOW-TO · SET

How to install LM Studio on macOS

beginner·10 min·By Fredoline Eruo
Target environment
Ubuntu 24.04 · Ollama 0.4.xWindows 11 · Ollama 0.4.xmacOS 15 · Ollama 0.4.x
PREREQUISITES

macOS 12+, internet, ~2 GB free disk space

What this does

Installs the LM Studio desktop application on a Mac so that local language models can be run, managed, and accessed through a local API server. After completion, the application opens from the Applications folder.

Steps

  1. Download the macOS disk image. Navigate to the official LM Studio downloads page and select the macOS .dmg file appropriate for the chip architecture.

  2. Open the disk image and drag LM Studio to Applications. After the .dmg mounts, a Finder window opens listing the application bundle. Drag LM Studio.app into the Applications folder.

  3. Grant execute permissions on first launch. macOS may show an unidentified developer warning. Open System Settings > Privacy & Security, locate the entry for LM Studio, and click Open Anyway.

  4. Confirm the installation is present. Open a terminal and launch the application.

    open -a "LM Studio"

    Expected output: the LM Studio window opens without errors.

Verification

mdfind "kMDItemCFBundleIdentifier == 'lm-studio'" | head -1
# Expected: /Applications/LM Studio.app

Common failures

  • Cannot be opened because it is from an unidentified developer — Gatekeeper blocks the app. Navigate to System Settings > Privacy & Security and explicitly approve the application.
  • App crashes on launch — The architecture does not match. Confirm whether the Mac uses Apple Silicon or Intel and re-download the correct .dmg variant.
  • Disk image fails to mount — The downloaded file may be corrupted. Delete the file and re-download from the official site.
  • Insufficient disk space — The installer requires writable space to unpack temporary files. Free at least 2 GB before proceeding.

Operator checkpoint

Before treating this as solved, write down the local runtime, model or package version, hardware/backend if relevant, and the verification output. This keeps the guide useful as a Will-It-Run style decision instead of a one-off command transcript.

Related guides

  • How to install LM Studio on Windows
  • How to use LM Studio as a local API server
  • Course Local AI Fundamentals
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