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Examples in the MLX framework
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| bert | ||
| cifar | ||
| gcn | ||
| llama | ||
| lora | ||
| mistral | ||
| mixtral | ||
| mnist | ||
| phi2 | ||
| stable_diffusion | ||
| transformer_lm | ||
| whisper | ||
| .gitignore | ||
| .pre-commit-config.yaml | ||
| CODE_OF_CONDUCT.md | ||
| CONTRIBUTING.md | ||
| LICENSE | ||
| README.md | ||
MLX Examples
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.
Contributing
Check out the contribution guidelines for more information on contributing to this repo.