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This tutorial aims to help users deploy and use large models based on Apple's native framework MLX-LM, in order to fully utilize the performance of Apple M series chips for local inference.
🔧 Environment Setup
# Create Conda virtual environment
conda create -n mlx-lm python=3.11
conda activate mlx-lm
# Install dependencies
pip install -r requirements.txt
📖 Tutorial List
🚀 Supported Models
|
• MLX Framework Introduction |
|
• Qwen3 |