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Update landing page to include Llama (#6218) #6231

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16 changes: 8 additions & 8 deletions docs/source/index.rst
Original file line number Diff line number Diff line change
Expand Up @@ -55,13 +55,12 @@ Topics in this section will help you get started with ExecuTorch.
ExecuTorch.

.. grid-item-card:: :octicon:`file-code;1em`
ExecuTorch Intermediate Representation API
ExecuTorch Llama
:img-top: _static/img/card-background.svg
:link: ir-exir.html
:link: llm/llama.html
:link-type: url

Learn about EXIR, a graph-based intermediate
representation (IR) of PyTorch programs.
Learn about running Llama models via ExecuTorch

.. toctree::
:glob:
Expand Down Expand Up @@ -117,10 +116,11 @@ Topics in this section will help you get started with ExecuTorch.
:caption: Working with LLMs
:hidden:

llm/getting-started
llm/llama-demo-android
llm/build-run-llama3-qualcomm-ai-engine-direct-backend
llm/llama-demo-ios
Llama <llm/llama>
Llama on Android <llm/llama-demo-android>
Llama on iOS <llm/llama-demo-ios>
Llama on Android via Qualcomm backend <llm/build-run-llama3-qualcomm-ai-engine-direct-backend>
Gentle guide to LLMs via ExecuTorch <llm/getting-started>

.. toctree::
:glob:
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4 changes: 3 additions & 1 deletion docs/source/llm/getting-started.md
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@@ -1,4 +1,4 @@
# Getting Started with LLMs via ExecuTorch
# Gentle guide to LLMs via ExecuTorch

Welcome to LLM Manual! This manual is designed to provide a practical example to leverage
ExecuTorch in onboarding your own Large Language Models (LLMs). Our primary goal is to offer
Expand All @@ -13,6 +13,8 @@ We encourage users to use this project as a starting point and adapt it to their
which includes creating your own versions of the tokenizer, sampler, acceleration backends, and
other components. We hope this project serves as a useful guide in your journey with LLMs and ExecuTorch.

For deploying llama with optimal performance, please see [Llama guide](./llama.md).

### Table Of Contents


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5 changes: 5 additions & 0 deletions docs/source/llm/llama.md
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# Llama on ExecuTorch

See
[llama readme](https://github.com/pytorch/executorch/blob/main/examples/models/llama2/README.md)
for detailed information about running Llama on ExecuTorch.
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