colosieve
diff --git a/‎docker/README.md
Copy file name to clipboardExpand all lines: docker/README.md
+13-6Lines changed: 13 additions & 6 deletions b/‎docker/README.md
Copy file name to clipboardExpand all lines: docker/README.md
+13-6Lines changed: 13 additions & 6 deletions
@@ -1,13 +1,13 @@
 # Get model from Hugging Face
 `python3 ./hug_model.py`
 
-You should now have a model in the current directory and model.bin symlinked to it for the subsequent Docker build and copy step. e.g.
+You should now have a model in the current directory and `model.bin` symlinked to it for the subsequent Docker build and copy step. e.g.
 ```
 docker $ ls -lh *.bin
--rw-rw-r-- 1 user user 4.8G May 23 18:30 llama-7b.ggmlv3.q5_1.bin
+-rw-rw-r-- 1 user user 4.8G May 23 18:30 <downloaded-model-file>.q5_1.bin
 lrwxrwxrwx 1 user user   24 May 23 18:30 model.bin -> <downloaded-model-file>.q5_1.bin
 ```
-- Note #1: Make sure you have enough disk space to d/l the model. As the model is then copied into the image you will need at least
+**Note #1:** Make sure you have enough disk space to d/l the model. As the model is then copied into the image you will need at least
 **TWICE** as much disk space as the size of the model:
 
 | Model |  Quantized size |
@@ -17,16 +17,23 @@ lrwxrwxrwx 1 user user   24 May 23 18:30 model.bin -> <downloaded-model-file>.q5
 |   30B |           25 GB |
 |   65B |           50 GB |
 
-- Note #2: If you want to pass or tune additional parameters, customise `./start_server.sh` before running `docker build ...`
+**Note #2:** If you want to pass or tune additional parameters, customise `./start_server.sh` before running `docker build ...`
 
-# Use OpenBLAS (No NVidia GPU, defaults to `python:3-slim-bullseye` Docker base image)
+# Install Docker Server
+
+**Note #3:** This was tested with Docker running on Linux. If you can get it working on Windows or MacOS, please update this README with a PR!
+
+[Install Docker Engine](https://docs.docker.com/engine/install)
+
+# Use OpenBLAS
+No NVidia GPU, defaults to `python:3-slim-bullseye` Docker base image and OpenBlAS:
 ## Build:
 `docker build --build-arg -t openblas .`
 ## Run:
 `docker run --cap-add SYS_RESOURCE -t openblas`
 
 # Use CuBLAS
-Requires NVidia GPU and Docker NVidia support (see https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/install-guide.html)
+Requires NVidia GPU and Docker NVidia support (see [container-toolkit/install-guide](https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/install-guide.html))
 ## Build:
 `docker build --build-arg IMAGE=nvidia/cuda:12.1.1-devel-ubuntu22.04 -t opencuda .`
 ## Run: