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Running local LLMs with Ollama on Apple Silicon v1.0.0

Use this resource to install and run local language models on a Mac

New

  • 339 downloads
  • 162 likes
  • 120 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install local-ollama-setup-diagnostics

With no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.

First time: connect the CLI with

npx --yes palatekit@latest login

The agent follows the setup checklist (Ollama, service, Python environment), pulls models, runs the repository's chat and benchmark scripts, then checks the service when something fails. You get a working local LLM.

Mostly picked by

Updated November 2, 2026

Card for the “Running local LLMs with Ollama on Apple Silicon” skill

Details

Generates with
Your agent's model
Licence
MIT

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What you get

  • SKILL.md: setup checklist, chat launchers, benchmarks and diagnostics
  • metadata.json: skill metadata

Good fit for

  • You want a local model without a remote service
  • An Apple Silicon Mac must run an Ollama model

Not for

    Tags

    • ollama
    • llm
    • apple silicon
    • local

    About

    You say

    “Install Ollama, pull Mistral and launch the local chat.”

    Card for the “Running local LLMs with Ollama on Apple Silicon” skill

    Skill published by Claude MPM Team under the MIT license, delivered in its original version.

    Show more

    How to use it

    1. Install the skill in your agent's skills folder
    2. Ask your agent to install and run local language models on a Mac
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • metadata.json0.5 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md2.4 KB

    Origin and licence

    Listed unmodified

    Author
    Claude MPM Team
    Source
    github.com/bobmatnyc/claude-mpm-skills/tree/718070a7d622921b01687799a1f9613f36c6f615/toolchains/ai/ops/local-llm-ops
    Licence
    MIT

    Notice

    « local-llm-ops » (Claude MPM Team, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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