mlx
CommunityRun and fine-tune LLMs on Apple Silicon with MLX.
Authoritsmostafa
Version1.0.0
Installs0
System Documentation
What problem does it solve?
MLX enables developers to run and fine-tune large language models locally on Apple Silicon, simplifying development and deployment without cloud dependency.
Core Features & Use Cases
- Local model execution with unified memory for Apple Silicon.
- Model conversion to MLX format, LoRA/QLoRA fine-tuning, and serving models via HTTP API.
- Real-world use: streamlined development, testing, and deployment of LLMs on macOS.
Quick Start
Install mlx-lm with pip, load a model from mlx-community, and begin interactive generation or LoRA fine-tuning on Apple Silicon.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: mlx Download link: https://github.com/itsmostafa/llm-engineering-skills/archive/main.zip#mlx Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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