diff --git a/docs/source/cli_reference/download_models.md b/docs/source/cli_reference/download_models.md
new file mode 100644
index 000000000..eb1d76685
--- /dev/null
+++ b/docs/source/cli_reference/download_models.md
@@ -0,0 +1,131 @@
+# Downloading Models
+
+The `llama` CLI tool helps you setup and use the Llama Stack. It should be available on your path after installing the `llama-stack` package.
+
+## Installation
+
+You have two ways to install Llama Stack:
+
+1. **Install as a package**:
+ You can install the repository directly from [PyPI](https://pypi.org/project/llama-stack/) by running the following command:
+ ```bash
+ pip install llama-stack
+ ```
+
+2. **Install from source**:
+ If you prefer to install from the source code, follow these steps:
+ ```bash
+ mkdir -p ~/local
+ cd ~/local
+ git clone git@github.com:meta-llama/llama-stack.git
+
+ conda create -n myenv python=3.10
+ conda activate myenv
+
+ cd llama-stack
+ $CONDA_PREFIX/bin/pip install -e .
+
+## Downloading models via CLI
+
+You first need to have models downloaded locally.
+
+To download any model you need the **Model Descriptor**.
+This can be obtained by running the command
+```
+llama model list
+```
+
+You should see a table like this:
+
+
++----------------------------------+------------------------------------------+----------------+
+| Model Descriptor | Hugging Face Repo | Context Length |
++----------------------------------+------------------------------------------+----------------+
+| Llama3.1-8B | meta-llama/Llama-3.1-8B | 128K |
++----------------------------------+------------------------------------------+----------------+
+| Llama3.1-70B | meta-llama/Llama-3.1-70B | 128K |
++----------------------------------+------------------------------------------+----------------+
+| Llama3.1-405B:bf16-mp8 | meta-llama/Llama-3.1-405B | 128K |
++----------------------------------+------------------------------------------+----------------+
+| Llama3.1-405B | meta-llama/Llama-3.1-405B-FP8 | 128K |
++----------------------------------+------------------------------------------+----------------+
+| Llama3.1-405B:bf16-mp16 | meta-llama/Llama-3.1-405B | 128K |
++----------------------------------+------------------------------------------+----------------+
+| Llama3.1-8B-Instruct | meta-llama/Llama-3.1-8B-Instruct | 128K |
++----------------------------------+------------------------------------------+----------------+
+| Llama3.1-70B-Instruct | meta-llama/Llama-3.1-70B-Instruct | 128K |
++----------------------------------+------------------------------------------+----------------+
+| Llama3.1-405B-Instruct:bf16-mp8 | meta-llama/Llama-3.1-405B-Instruct | 128K |
++----------------------------------+------------------------------------------+----------------+
+| Llama3.1-405B-Instruct | meta-llama/Llama-3.1-405B-Instruct-FP8 | 128K |
++----------------------------------+------------------------------------------+----------------+
+| Llama3.1-405B-Instruct:bf16-mp16 | meta-llama/Llama-3.1-405B-Instruct | 128K |
++----------------------------------+------------------------------------------+----------------+
+| Llama3.2-1B | meta-llama/Llama-3.2-1B | 128K |
++----------------------------------+------------------------------------------+----------------+
+| Llama3.2-3B | meta-llama/Llama-3.2-3B | 128K |
++----------------------------------+------------------------------------------+----------------+
+| Llama3.2-11B-Vision | meta-llama/Llama-3.2-11B-Vision | 128K |
++----------------------------------+------------------------------------------+----------------+
+| Llama3.2-90B-Vision | meta-llama/Llama-3.2-90B-Vision | 128K |
++----------------------------------+------------------------------------------+----------------+
+| Llama3.2-1B-Instruct | meta-llama/Llama-3.2-1B-Instruct | 128K |
++----------------------------------+------------------------------------------+----------------+
+| Llama3.2-3B-Instruct | meta-llama/Llama-3.2-3B-Instruct | 128K |
++----------------------------------+------------------------------------------+----------------+
+| Llama3.2-11B-Vision-Instruct | meta-llama/Llama-3.2-11B-Vision-Instruct | 128K |
++----------------------------------+------------------------------------------+----------------+
+| Llama3.2-90B-Vision-Instruct | meta-llama/Llama-3.2-90B-Vision-Instruct | 128K |
++----------------------------------+------------------------------------------+----------------+
+| Llama-Guard-3-11B-Vision | meta-llama/Llama-Guard-3-11B-Vision | 128K |
++----------------------------------+------------------------------------------+----------------+
+| Llama-Guard-3-1B:int4-mp1 | meta-llama/Llama-Guard-3-1B-INT4 | 128K |
++----------------------------------+------------------------------------------+----------------+
+| Llama-Guard-3-1B | meta-llama/Llama-Guard-3-1B | 128K |
++----------------------------------+------------------------------------------+----------------+
+| Llama-Guard-3-8B | meta-llama/Llama-Guard-3-8B | 128K |
++----------------------------------+------------------------------------------+----------------+
+| Llama-Guard-3-8B:int8-mp1 | meta-llama/Llama-Guard-3-8B-INT8 | 128K |
++----------------------------------+------------------------------------------+----------------+
+| Prompt-Guard-86M | meta-llama/Prompt-Guard-86M | 128K |
++----------------------------------+------------------------------------------+----------------+
+| Llama-Guard-2-8B | meta-llama/Llama-Guard-2-8B | 4K |
++----------------------------------+------------------------------------------+----------------+
+
+
+To download models, you can use the llama download command.
+
+#### Downloading from [Meta](https://llama.meta.com/llama-downloads/)
+
+Here is an example download command to get the 3B-Instruct/11B-Vision-Instruct model. You will need META_URL which can be obtained from [here](https://llama.meta.com/docs/getting_the_models/meta/)
+
+Download the required checkpoints using the following commands:
+```bash
+# download the 8B model, this can be run on a single GPU
+llama download --source meta --model-id Llama3.2-3B-Instruct --meta-url META_URL
+
+# you can also get the 70B model, this will require 8 GPUs however
+llama download --source meta --model-id Llama3.2-11B-Vision-Instruct --meta-url META_URL
+
+# llama-agents have safety enabled by default. For this, you will need
+# safety models -- Llama-Guard and Prompt-Guard
+llama download --source meta --model-id Prompt-Guard-86M --meta-url META_URL
+llama download --source meta --model-id Llama-Guard-3-1B --meta-url META_URL
+```
+
+#### Downloading from [Hugging Face](https://huggingface.co/meta-llama)
+
+Essentially, the same commands above work, just replace `--source meta` with `--source huggingface`.
+
+```bash
+llama download --source huggingface --model-id Llama3.1-8B-Instruct --hf-token
+
+llama download --source huggingface --model-id Llama3.1-70B-Instruct --hf-token
+
+llama download --source huggingface --model-id Llama-Guard-3-1B --ignore-patterns *original*
+llama download --source huggingface --model-id Prompt-Guard-86M --ignore-patterns *original*
+```
+
+**Important:** Set your environment variable `HF_TOKEN` or pass in `--hf-token` to the command to validate your access. You can find your token at [https://huggingface.co/settings/tokens](https://huggingface.co/settings/tokens).
+
+> **Tip:** Default for `llama download` is to run with `--ignore-patterns *.safetensors` since we use the `.pth` files in the `original` folder. For Llama Guard and Prompt Guard, however, we need safetensors. Hence, please run with `--ignore-patterns original` so that safetensors are downloaded and `.pth` files are ignored.
diff --git a/docs/source/index.md b/docs/source/index.md
index 8fe55aba5..1cc630319 100644
--- a/docs/source/index.md
+++ b/docs/source/index.md
@@ -59,6 +59,7 @@ You can find more example scripts with client SDKs to talk with the Llama Stack
getting_started/index
cli_reference/index
+cli_reference/download_models
api_providers/index
distribution_dev/index
```