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Update README.md with TorchTune reference
We'd estimate communities like to try ExecuTorch with their own tuned models. Add a reference to TorchTune so that users can use all PyTorch native support in the entire flow.
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examples/models/llama2/README.md

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@@ -91,6 +91,8 @@ If you want to deploy and run a smaller model for educational purposes. From `ex
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python -m examples.models.llama2.tokenizer.tokenizer -t tokenizer.model -o tokenizer.bin
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```
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If you want to fine tune your model based on a specific dataset, PyTorch team provides a native-Pytorch library, [TorchTune](https://github.com/pytorch/torchtune), for easily authoring, fine-tuning and experimenting with LLMs.
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## Step 3: Evaluate model accuracy
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> Forewarning: Model evaluation without a GPU may take a long time, especially on larger models.

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