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  library_name: mlx
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  ---
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- # mlx-community/Kokoro-82M-bf16
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- This model was converted to MLX format from [`hexagrad/Kokoro-82M`]() using mlx-audio version **0.0.1**.
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- Refer to the [original model card](https://huggingface.co/hexagrad/Kokoro-82M) for more details on the model.
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- ## Use with mlx
 
 
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  ```bash
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- pip install -U mlx-audio
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  ```
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- ```bash
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- python -m mlx_audio.tts.generate --model mlx-community/Kokoro-82M-bf16 --text "Hello world"
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- ```
 
 
 
 
 
 
 
 
 
 
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  library_name: mlx
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  ---
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+ # nexaml/Kokoro-82M-bf16-MLX
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+
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+ ## Quickstart
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+
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+ Run them directly with [nexa-sdk](https://github.com/NexaAI/nexa-sdk) installed
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+ In nexa-sdk CLI:
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  ```bash
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+ nexaml/Kokoro-82M-bf16-MLX
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  ```
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+ ## Overview
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+
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+ **Kokoro** is an open-weight TTS model with 82 million parameters. Despite its lightweight architecture, it delivers comparable quality to larger models while being significantly faster and more cost-efficient. With Apache-licensed weights, Kokoro can be deployed anywhere from production environments to personal projects.
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+ <audio controls><source src="https://huggingface.co/hexgrad/Kokoro-82M/resolve/main/samples/HEARME.wav" type="audio/wav"></audio>
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+ 🐈 **GitHub**: https://github.com/hexgrad/kokoro
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+ 🚀 **Demo**: https://hf.co/spaces/hexgrad/Kokoro-TTS
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+ ## Reference
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+ **Original model card**: [hexgrad/Kokoro-82M](https://huggingface.co/hexgrad/Kokoro-82M)