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‎examples/demo-apps/android/LlamaDemo/docs/delegates/mediatek_README.md‎

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Prior to deploying the files on device, make sure to modify the tokenizer, token embedding, and model file names in examples/mediatek/executor_runner/run_llama3_sample.sh reflect what was generated during the Export Llama Model step.
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<p align="center">
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<img src="https://raw.githubusercontent.com/pytorch/executorch/refs/heads/main/docs/source/_static/img/mtk_changes_to_shell_file.png" width=600px>
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<img src="https://raw.githubusercontent.com/pytorch/executorch/refs/heads/main/docs/source/_static/img/mtk_changes_to_shell_file.png" style="width:600px">
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</p>
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In addition, create a sample_prompt.txt file with a prompt. This will be deployed to the device in the next step.
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```
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<p align="center">
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<img src="https://raw.githubusercontent.com/pytorch/executorch/refs/heads/main/docs/source/_static/img/mtk_output.png" width=800px>
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<img src="https://raw.githubusercontent.com/pytorch/executorch/refs/heads/main/docs/source/_static/img/mtk_output.png" style="width:800px">
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</p>
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## Reporting Issues

‎examples/demo-apps/android/LlamaDemo/docs/delegates/qualcomm_README.md‎

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If the app successfully run on your device, you should see something like below:
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<p align="center">
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<img src="https://raw.githubusercontent.com/pytorch/executorch/refs/heads/main/docs/source/_static/img/opening_the_app_details.png" width=800px>
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<img src="https://raw.githubusercontent.com/pytorch/executorch/refs/heads/main/docs/source/_static/img/opening_the_app_details.png" style="width:800px">
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</p>
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## Reporting Issues

‎examples/demo-apps/android/LlamaDemo/docs/delegates/xnnpack_README.md‎

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If the app successfully run on your device, you should see something like below:
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<p align="center">
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<img src="https://raw.githubusercontent.com/pytorch/executorch/refs/heads/main/docs/source/_static/img/opening_the_app_details.png" width=800px>
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<img src="https://raw.githubusercontent.com/pytorch/executorch/refs/heads/main/docs/source/_static/img/opening_the_app_details.png" style="width:800px">
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</p>
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## Reporting Issues

‎examples/demo-apps/apple_ios/LLaMA/README.md‎

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* Ensure that the ExecuTorch package dependencies are installed correctly, then select which ExecuTorch framework should link against which target.
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<p align="center">
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<img src="https://raw.githubusercontent.com/pytorch/executorch/refs/heads/main/docs/source/_static/img/ios_demo_app_swift_pm.png" alt="iOS LLaMA App Swift PM" width="600px">
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<img src="https://raw.githubusercontent.com/pytorch/executorch/refs/heads/main/docs/source/_static/img/ios_demo_app_swift_pm.png" alt="iOS LLaMA App Swift PM" style="width:600px">
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</p>
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<p align="center">
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<img src="https://raw.githubusercontent.com/pytorch/executorch/refs/heads/main/docs/source/_static/img/ios_demo_app_choosing_package.png" alt="iOS LLaMA App Choosing package" width="600px">
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<img src="https://raw.githubusercontent.com/pytorch/executorch/refs/heads/main/docs/source/_static/img/ios_demo_app_choosing_package.png" alt="iOS LLaMA App Choosing package" style="width:600px">
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* Run the app. This builds and launches the app on the phone.
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If the app successfully run on your device, you should see something like below:
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<p align="center">
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<img src="https://raw.githubusercontent.com/pytorch/executorch/refs/heads/main/docs/source/_static/img/ios_demo_app.jpg" alt="iOS LLaMA App" width="300px">
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<img src="https://raw.githubusercontent.com/pytorch/executorch/refs/heads/main/docs/source/_static/img/ios_demo_app.jpg" alt="iOS LLaMA App" style="width:300px">
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For Llava 1.5 models, you can select and image (via image/camera selector button) before typing prompt and send button.
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<p align="center">
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<img src="https://raw.githubusercontent.com/pytorch/executorch/refs/heads/main/docs/source/_static/img/ios_demo_app_llava.jpg" alt="iOS LLaMA App" width="300px">
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<img src="https://raw.githubusercontent.com/pytorch/executorch/refs/heads/main/docs/source/_static/img/ios_demo_app_llava.jpg" alt="iOS LLaMA App" style="width:300px">
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## Reporting Issues

‎examples/demo-apps/apple_ios/LLaMA/docs/delegates/mps_README.md‎

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For more details integrating and Running ExecuTorch on Apple Platforms, checkout this [link](https://pytorch.org/executorch/main/apple-runtime.html).
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<p align="center">
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<img src="https://raw.githubusercontent.com/pytorch/executorch/refs/heads/main/docs/source/_static/img/ios_demo_app_swift_pm.png" alt="iOS LLaMA App Swift PM" width="600px">
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<img src="https://raw.githubusercontent.com/pytorch/executorch/refs/heads/main/docs/source/_static/img/ios_demo_app_swift_pm.png" alt="iOS LLaMA App Swift PM" style="width:600px">
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Then select which ExecuTorch framework should link against which target.
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<p align="center">
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<img src="https://raw.githubusercontent.com/pytorch/executorch/refs/heads/main/docs/source/_static/img/ios_demo_app_choosing_package.png" alt="iOS LLaMA App Choosing package" width="600px">
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<img src="https://raw.githubusercontent.com/pytorch/executorch/refs/heads/main/docs/source/_static/img/ios_demo_app_choosing_package.png" alt="iOS LLaMA App Choosing package" style="width:600px">
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Click “Run” to build the app and run in on your iPhone. If the app successfully run on your device, you should see something like below:
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<p align="center">
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<img src="https://raw.githubusercontent.com/pytorch/executorch/refs/heads/main/docs/source/_static/img/ios_demo_app_mps.jpg" alt="iOS LLaMA App mps" width="300px">
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<img src="https://raw.githubusercontent.com/pytorch/executorch/refs/heads/main/docs/source/_static/img/ios_demo_app_mps.jpg" alt="iOS LLaMA App mps" style="width:300px">
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## Reporting Issues

‎examples/demo-apps/apple_ios/LLaMA/docs/delegates/xnnpack_README.md‎

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For more details integrating and Running ExecuTorch on Apple Platforms, checkout this [link](https://pytorch.org/executorch/main/apple-runtime.html).
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<p align="center">
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<img src="https://raw.githubusercontent.com/pytorch/executorch/refs/heads/main/docs/source/_static/img/ios_demo_app_swift_pm.png" alt="iOS LLaMA App Swift PM" width="600px">
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<img src="https://raw.githubusercontent.com/pytorch/executorch/refs/heads/main/docs/source/_static/img/ios_demo_app_swift_pm.png" alt="iOS LLaMA App Swift PM" style="width:600px">
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Then select which ExecuTorch framework should link against which target.
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<p align="center">
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<img src="https://raw.githubusercontent.com/pytorch/executorch/refs/heads/main/docs/source/_static/img/ios_demo_app_choosing_package.png" alt="iOS LLaMA App Choosing package" width="600px">
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<img src="https://raw.githubusercontent.com/pytorch/executorch/refs/heads/main/docs/source/_static/img/ios_demo_app_choosing_package.png" alt="iOS LLaMA App Choosing package" style="width:600px">
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Click “Run” to build the app and run in on your iPhone. If the app successfully run on your device, you should see something like below:
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<p align="center">
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<img src="https://raw.githubusercontent.com/pytorch/executorch/refs/heads/main/docs/source/_static/img/ios_demo_app.jpg" alt="iOS LLaMA App" width="300px">
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<img src="https://raw.githubusercontent.com/pytorch/executorch/refs/heads/main/docs/source/_static/img/ios_demo_app.jpg" alt="iOS LLaMA App" style="width:300px">
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For Llava 1.5 models, you can select and image (via image/camera selector button) before typing prompt and send button.
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<p align="center">
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<img src="https://raw.githubusercontent.com/pytorch/executorch/refs/heads/main/docs/source/_static/img/ios_demo_app_llava.jpg" alt="iOS LLaMA App" style="width:300px">
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## Reporting Issues

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