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Update landing page to include Llama (#6218)
Summary: Pull Request resolved: #6218 We should promote llama page more and demote the LLM Manual. allow-large-files Differential Revision: D64375318
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docs/source/index.rst

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ExecuTorch.
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.. grid-item-card:: :octicon:`file-code;1em`
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ExecuTorch Intermediate Representation API
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ExecuTorch Llama
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:img-top: _static/img/card-background.svg
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:link: ir-exir.html
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:link: llm/llama.html
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:link-type: url
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Learn about EXIR, a graph-based intermediate
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representation (IR) of PyTorch programs.
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Learn about running Llama models via ExecuTorch
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.. toctree::
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:caption: Working with LLMs
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llm/getting-started
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llm/llama-demo-android
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llm/build-run-llama3-qualcomm-ai-engine-direct-backend
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llm/llama-demo-ios
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Llama <llm/llama>
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Llama on Android <llm/llama-demo-android>
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Llama on iOS <llm/llama-demo-ios>
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Llama on Android via Qualcomm backend <llm/build-run-llama3-qualcomm-ai-engine-direct-backend>
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Gentle guide to LLMs via ExecuTorch <llm/getting-started>
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.. toctree::
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:glob:
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docs/source/llm/getting-started.md

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# Getting Started with LLMs via ExecuTorch
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# Gentle guide to LLMs via ExecuTorch
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Welcome to LLM Manual! This manual is designed to provide a practical example to leverage
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ExecuTorch in onboarding your own Large Language Models (LLMs). Our primary goal is to offer
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which includes creating your own versions of the tokenizer, sampler, acceleration backends, and
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other components. We hope this project serves as a useful guide in your journey with LLMs and ExecuTorch.
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For deploying llama with optimal performance, please see [Llama guide](./llama.md).
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### Table Of Contents
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docs/source/llm/llama.md

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```{include} ../../../examples/models/llama2/README.md
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```

docs/source/llm/llama_via_xnnpack.gif

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