[Application] add README for LLaMA application

- remove vocab.json and merges.txt files since each llama version utilizes distinct vocab.json and merges.txt files. - add README.md file for LLaMA application. Signed-off-by: Seungbaek Hong <[email protected]>
nnstreamer · Nov 8, 2024 · d0ed9b4 · d0ed9b4
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diff --git a/Applications/LLaMA/README.md b/Applications/LLaMA/README.md
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+# LLaMA
+
+This application is an implementation of LLaMA.
+
+It has been verified to run in Ubuntu and Android environments through meson build.
+
+Reference:
+- [Paper: The Llama 3 Herd of Models](https://arxiv.org/abs/2407.21783)
+
+## How to run LLaMA
+
+Please refer to the following documents for instructions on setting up and building NNTrainer.
+
+- [Getting Started](../../docs/getting-started.md)
+- [how-to-run-example-android](../../docs/how-to-run-example-android.md)
+
+To run your own LLaMA model, you need to prepare three additional files inside the application build directory.
+- For tokenizer usage, you will require a `vocab.json` file and a `merges.txt` file tailored to your specific model.
+- To load pre-trained weights, ensure that you have a `.bin` file compatible with NNTrainer. You can convert your PyTorch model's weight file to NNTrainer model's weights file using the `Applications/LLaMA/PyTorch/weights_converter.py` script provided within our official repository.