Update landing page to include Llama (#6218) (#6259)

* Update landing page to include Llama (#6231) Summary: Pull Request resolved: #6231 We should promote llama page more and demote the LLM Manual. allow-large-files bypass-github-export-checks bypass-github-pytorch-ci-checks bypass-github-executorch-ci-checks Reviewed By: dvorjackz Differential Revision: D64375318 fbshipit-source-id: a6b07de4735691b5230e51ec7bc1957ce9a4463f (cherry picked from commit 3e052a8) * Update index.rst * Update getting-started.md --------- Co-authored-by: Mergen Nachin <[email protected]>
pytorch · Oct 17, 2024 · 8dd7774 · 8dd7774
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diff --git a/docs/source/index.rst b/docs/source/index.rst
@@ -60,13 +60,12 @@ 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:
@@ -122,10 +121,11 @@ 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>
+   Intro to LLMs in ExecuTorch <llm/getting-started>
 
 .. toctree::
    :glob:

diff --git a/docs/source/llm/getting-started.md b/docs/source/llm/getting-started.md
@@ -1,4 +1,4 @@
-# Getting Started with LLMs via ExecuTorch
+# Intro to LLMs in 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
@@ -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
 
 

diff --git a/docs/source/llm/llama.md b/docs/source/llm/llama.md
@@ -0,0 +1,5 @@
+# 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.