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@@ -4,12 +4,12 @@ This repo contains a variety of standalone examples using the [MLX
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framework](https://github.com/ml-explore/mlx).
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The [MNIST](mnist) example is a good starting point to learn how to use MLX.
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Some more useful examples are listed below.
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Some more useful examples are listed below. Check-out [MLX
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LM](https://github.com/ml-explore/mlx-lm) for a more fully featured Python
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package for LLMs with MLX.
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### Text Models
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- [MLX LM](llms/README.md) a package for LLM text generation, fine-tuning, and more.
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- [Transformer language model](transformer_lm) training.
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- Minimal examples of large scale text generation with [LLaMA](llms/llama),
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[Mistral](llms/mistral), and more in the [LLMs](llms) directory.
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@@ -30,6 +30,7 @@ Some more useful examples are listed below.
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- Speech recognition with [OpenAI's Whisper](whisper).
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- Audio compression and generation with [Meta's EnCodec](encodec).
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- Music generation with [Meta's MusicGen](musicgen).
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### Multimodal models
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