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ml-exploreml-exploreOfficial·1 Agent Skills Included

mlx-swift-lm

Run local LLMs and vision models on Apple Silicon with Swift

Runs large language models and vision-language models locally on Apple Silicon using Swift and MLX. Handles streaming chat, tool calling, embeddings, LoRA fine-tuning, and memory-safe concurrent inference without cloud APIs. Gives developers ready-made Swift APIs and reference guides to build fast, private, on-device AI features.
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npx skills add ml-explore/mlx-swift-lm --all -g -y
Available:

Tells the AI agent to read the bundled SKILL.md before using the API, explain every code change it makes, and never create PRs or post comments on the user's behalf.

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ml-exploreml-explore

swift-mlx-lm

Run local LLM and VLM inference and fine-tuning on Apple Silicon with MLX Swift.

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Advanced

Frequently Asked Questions

FAQPage Schema
How to install mlx-swift-lm?▼

Run `npx skills add ml-explore/mlx-swift-lm --all -g -y` in your terminal to install the skill globally for your AI agent.

How to run LLMs locally on Apple Silicon with Swift?▼

Add the mlx-swift-lm Swift package to your project, load a model with LLMModelFactory, and chat through the ChatSession API. Models run fully on-device using Apple's MLX framework.

Can mlx-swift-lm run vision-language models?▼

Yes. The MLXVLM library supports models like Qwen-VL and Gemma that accept images and video alongside text prompts.

Does mlx-swift-lm support fine-tuning and tool calling?▼

Yes. It includes LoRA and DoRA adapter training for fine-tuning, plus built-in tool calling so models can invoke your Swift functions.

Does mlx-swift-lm work with Claude Code and other AI agents?▼

Yes. The bundled SKILL.md follows the universal skill standard, so agents like Claude Code, Cursor, and Codex can use it to write correct MLX Swift code.

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