This repo contains a variety of standalone examples using the MLX framework.

The MNIST example is a good starting point to learn how to use MLX.

Some more useful examples include:

• Transformer language model training.
• Large scale text generation with LLaMA, Mistral or Phi.
• Mixture-of-experts (MoE) language model with Mixtral 8x7B
• Parameter efficient fine-tuning with LoRA.
• Generating images with Stable Diffusion.
• Speech recognition with OpenAI's Whisper.
• Bidirectional language understanding with BERT
• Semi-supervised learning on graph-structured data with GCN.

Check out the contribution guidelines for more information on contributing to this repo.