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add a diagram to the readme (#972)
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README.md

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@@ -29,6 +29,10 @@ torchchat is a small codebase showcasing the ability to run large language model
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- Multiple quantization schemes
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- Multiple execution modes including: Python (Eager, Compile) or Native (AOT Inductor (AOTI), ExecuTorch)
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## Overview
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![System Overview](assets/torchchat.png)
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## Installation
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The following steps require that you have [Python 3.10](https://www.python.org/downloads/release/python-3100/) installed.
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6. Follow the app's UI guidelines to pick the model and tokenizer files from the local filesystem. Then issue a prompt.
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**Note:** The AAR file listed in Step 1 has the tiktoken tokenizer, which is used for Llama 3. To tweak or use a custom tokenizer and runtime, modify the ExecuTorch code
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**Note:** The AAR file listed in Step 1 has the tiktoken tokenizer, which is used for Llama 3. To tweak or use a custom tokenizer and runtime, modify the ExecuTorch code
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and use [this script](https://github.com/pytorch/executorch/blob/main/build/build_android_llm_demo.sh) to build the AAR library.
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<p align="center">

assets/torchchat.png

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