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Update README with Mistral pre-exported .pte files info and demo app video (#18023)
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examples/models/voxtral_realtime/README.md

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https://github.com/user-attachments/assets/44717dc5-777f-4710-ad55-5ec4fa04b9c4
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Also, try a sample [standalone macOS app](https://github.com/meta-pytorch/executorch-examples/tree/main/voxtral_realtime/macos) to do real time transcription.
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https://github.com/user-attachments/assets/a89677ef-8309-426e-a2f4-6d1ea8494b99
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## Prerequisites
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- ExecuTorch installed from source (see [building from source](../../../docs/source/using-executorch-building-from-source.md))
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Export produces a single `.pte` containing the audio encoder, text decoder,
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and token embedding.
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> [!TIP]
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> Mistral has already published pre-exported `.pte` files for select backends, including macOS Metal, on their [HuggingFace Hub](https://huggingface.co/mistral-labs/Voxtral-Mini-4B-Realtime-2602-Executorch).
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```bash
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python export_voxtral_rt.py \
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--model-path ~/models/Voxtral-Mini-4B-Realtime-2602 \

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