quantized model docs

docs/source/getting_started/distributions/self_hosted_distro/meta-reference-quantized-gpu.md

@@ -9,7 +9,20 @@ The `llamastack/distribution-meta-reference-quantized-gpu` distribution consists
 
 The only difference vs. the `meta-reference-gpu` distribution is that it has support for more efficient inference -- with fp8, int4 quantization, etc.
 
-### Start the Distribution (Single Node GPU)
+### Step 0. Prerequisite - Downloading Models
+Please make sure you have llama model checkpoints downloaded in `~/.llama` before proceeding. See [installation guide](https://llama-stack.readthedocs.io/en/latest/cli_reference/download_models.html) here to download the models.
+
+```
+$ ls ~/.llama/checkpoints
+Llama3.1-8B           Llama3.2-11B-Vision-Instruct  Llama3.2-1B-Instruct  Llama3.2-90B-Vision-Instruct  Llama-Guard-3-8B
+Llama3.1-8B-Instruct  Llama3.2-1B                   Llama3.2-3B-Instruct  Llama-Guard-3-1B              Prompt-Guard-86M
+```
+
+### Step 1. Start the Distribution
+#### (Option 1) Start with Docker
+```
+$ cd distributions/meta-reference-quantized-gpu && docker compose up
+```
 
 > [!NOTE]
 > This assumes you have access to GPU to start a local server with access to your GPU.
@@ -19,16 +32,24 @@ The only difference vs. the `meta-reference-gpu` distribution is that it has sup
 > `~/.llama` should be the path containing downloaded weights of Llama models.
 
 
-To download and start running a pre-built docker container, you may use the following commands:
+This will download and start running a pre-built docker container. Alternatively, you may use the following commands:
 
 ```
-docker run -it -p 5000:5000 -v ~/.llama:/root/.llama \
-  -v ./run.yaml:/root/my-run.yaml \
-  --gpus=all \
-  distribution-meta-reference-quantized-gpu \
-  --yaml_config /root/my-run.yaml
+docker run -it -p 5000:5000 -v ~/.llama:/root/.llama -v ./run.yaml:/root/my-run.yaml --gpus=all distribution-meta-reference-quantized-gpu --yaml_config /root/my-run.yaml
 ```
 
-### Alternative (Build and start distribution locally via conda)
+#### (Option 2) Start with Conda
 
-- You may checkout the [Getting Started](../../docs/getting_started.md) for more details on building locally via conda and starting up the distribution.
+1. Install the `llama` CLI. See [CLI Reference](https://llama-stack.readthedocs.io/en/latest/cli_reference/index.html)
+
+2. Build the `meta-reference-quantized-gpu` distribution
+
+```
+$ llama stack build --template meta-reference-quantized-gpu --image-type conda
+```
+
+3. Start running distribution
+```
+$ cd distributions/meta-reference-quantized-gpu
+$ llama stack run ./run.yaml
+```