MLX Swift LM - Run LLMs and VLMs on Apple Silicon using MLX. Covers local inference, streaming, wired memory coordination, tool calling, LoRA fine-tuning, embeddings, and model porting.
How to install mlx-swift-lm?
kellyvv/phoneclaw/mlx-swift-lm
$npx -y skills add kellyvv/phoneclaw --skill mlx-swift-lmInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/kellyvv/phoneclaw" --skill "kellyvv/phoneclaw/mlx-swift-lm"` 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/kellyvv/phoneclaw" that are relevant to the current task. Run `npx skills add "https://github.com/kellyvv/phoneclaw"` and select the relevant skills, then follow their instructions.
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