Restructure docs (#494)

Rendered docs at: https://llama-stack.readthedocs.io/en/doc-simplify/

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

@@ -0,0 +1,61 @@
+# Meta Reference Quantized Distribution
+
+```{toctree}
+:maxdepth: 2
+:hidden:
+
+self
+```
+
+The `llamastack/distribution-meta-reference-quantized-gpu` distribution consists of the following provider configurations.
+
+
+| **API**         	| **Inference**            	| **Agents**     	| **Memory**                                       	| **Safety**     	| **Telemetry**  	|
+|-----------------	|------------------------  	|----------------	|--------------------------------------------------	|----------------	|----------------	|
+| **Provider(s)** 	| meta-reference-quantized  | meta-reference 	| meta-reference, remote::pgvector, remote::chroma 	| meta-reference 	| meta-reference 	|
+
+The only difference vs. the `meta-reference-gpu` distribution is that it has support for more efficient inference -- with fp8, int4 quantization, etc.
+
+### 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
+Llama3.2-3B-Instruct:int4-qlora-eo8
+```
+
+### 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.
+
+
+> [!NOTE]
+> `~/.llama` should be the path containing downloaded weights of Llama models.
+
+
+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
+```
+
+#### (Option 2) Start with Conda
+
+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
+```