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Fix Android prebuilt docs
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docs/source/android-prebuilt-library.md

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# Using Android prebuilt libraries (AAR)
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# Using Android prebuilt library (AAR)
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We provide two prebuilt Android libraries (AAR), `executorch.aar` for generic use case (image/audio processing) and `executorch_llama.aar` for LLAMA use case.
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We provide a prebuilt Android library (AAR), `executorch.aar` for both generic (image/audio processing) and LLAMA use case.
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## Contents of libraries
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## Contents of library
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- `executorch.aar`
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- [Java library](https://github.com/pytorch/executorch/tree/main/extension/android/src/main/java/org/pytorch/executorch)
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- JNI contains the JNI binding for [NativePeer.java](https://github.com/pytorch/executorch/blob/main/extension/android/src/main/java/org/pytorch/executorch/NativePeer.java) and ExecuTorch native library, including core ExecuTorch runtime libraries, XNNPACK backend, Portable kernels, Optimized kernels, and Quantized kernels.
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- Comes with two ABI variants, arm64-v8a and x86_64.
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- `executorch_llama.aar`
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- [Java library](https://github.com/pytorch/executorch/tree/main/extension/android/src/main/java/org/pytorch/executorch) (Note: it contains the same Java classes as the previous Java, but it does not contain the JNI binding for generic Module/NativePeer Java code).
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- JNI contains the JNI binding for [LlamaModule.java](https://github.com/pytorch/executorch/blob/main/extension/android/src/main/java/org/pytorch/executorch/LlamaModule.java) and ExecuTorch native library, including core ExecuTorch runtime libraries, XNNPACK backend, Portable kernels, Optimized kernels, Quantized kernels, and LLAMA-specific Custom ops library.
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- JNI contains the JNI binding for the corresponding Java code, and ExecuTorch native library, including core ExecuTorch runtime libraries, XNNPACK backend, Portable kernels, Optimized kernels, Quantized kernels, and LLAMA-specific Custom ops library.
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- Comes with two ABI variants, arm64-v8a and x86_64.
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## Downloading AAR

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