Running and fine-tuning LLMs on Apple Silicon with MLX. Use when working with models locally on Mac, converting Hugging Face models to MLX format, fine-tuning with LoRA/QLoRA on Apple Silicon, or serving models via HTTP API.
How to install mlx?
itsmostafa/llm-engineering-skills/mlx
$npx -y skills add itsmostafa/llm-engineering-skills --skill mlxInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/itsmostafa/llm-engineering-skills" --skill "itsmostafa/llm-engineering-skills/mlx"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/itsmostafa/llm-engineering-skills" that are relevant to the current task. Run `npx skills add "https://github.com/itsmostafa/llm-engineering-skills"` and select the relevant skills, then follow their instructions.
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