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Create placeholder pages for LLM TOC. (#2419)
Summary: Create the placeholder doc pages following content in [Purpleberry - Table Of Contents](https://fburl.com/gdoc/ymk7uxm4). https://docs-preview.pytorch.org/pytorch/executorch/2419/index.html Differential Revision: D54878408
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docs/source/_templates/layout.html

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{% block footer %}
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{{ super() }}
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<script script type="text/javascript">
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var collapsedSections = ['Introduction', 'Getting Started', 'Exporting to ExecuTorch', 'API Reference', 'IR Specification', 'Compiler Entry Points', 'Runtime', 'Quantization', 'Kernel Library', 'Native Delegates', 'SDK', 'Tutorials']
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var collapsedSections = ['Introduction', 'Getting Started', 'Working with LLMs', 'Exporting to ExecuTorch', 'API Reference', 'IR Specification', 'Compiler Entry Points', 'Runtime', 'Quantization', 'Kernel Library', 'Native Delegates', 'SDK', 'Tutorials']
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</script>
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{{ super() }}

docs/source/index.rst

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getting-started-setup
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runtime-build-and-cross-compilation
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.. toctree::
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:glob:
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:maxdepth: 2
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:caption: Working with LLMs
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:hidden:
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llm/llm-introduction
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llm/llm-on-mobile/llm-on-mobile
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llm/llm-on-desktop/llm-on-desktop
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llm/llm-on-advanced-flow/llm-on-advanced-flow
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.. toctree::
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:maxdepth: 1

docs/source/llm/llm-introduction.md

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# Introduction
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## Current landscape of local LLMs
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## What is our offering?
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## Why and when should you use it?
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# Advanced Flows
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## Custom quantization
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## Bring GGUF to PyTorch ecosystem
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## TorchTune interoperability
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Enabling LLMs on Advanced Flow
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=======================
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This section will walk you through
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.. toctree::
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:maxdepth: 1
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llm-on-advanced-flow
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# Enabling LLMs on Desktop
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## Local Llama on Desktop Benchmarks
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**Results**
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**Instructions**
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Enabling LLMs on Desktop
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=======================
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This section will walk you through
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.. toctree::
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:maxdepth: 1
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llm-on-desktop-benchmarks
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# Customization examples
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## Custom tokenization
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## Custom sampler
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## Speculative decoding
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## Modify a mobile app to use a different LLM model
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# Getting Started with LLMs via ExecuTorch
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## Simple “Hello World” example
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## Use Mobile Acceleration
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## Quantization via XNNPACKQuantizer
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## Debugging and Profiling
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## Build Mobile LLM chat App Examples
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# Local Llama on Mobile Benchmarks
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## Results
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## Instructions
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Enabling LLMs on Mobile
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=======================
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This section will walk you through
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.. toctree::
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:maxdepth: 1
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llm-on-mobile-benchmarks
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getting-started-with-llms-via-executorch
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customization-examples
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validating-other-models
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# Validating other models
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## Exportability results

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