colosieve
diff --git a/‎docker/README.md
Copy file name to clipboardExpand all lines: docker/README.md
+11-5Lines changed: 11 additions & 5 deletions b/‎docker/README.md
Copy file name to clipboardExpand all lines: docker/README.md
+11-5Lines changed: 11 additions & 5 deletions
@@ -1,3 +1,9 @@
+# Dockerfiles for building the llama-cpp-python server
+- `Dockerfile.openblas_simple` - a simple Dockerfile for non-GPU OpenBLAS
+- `Dockerfile.cuda_simple` - a simple Dockerfile for CUDA accelerated CuBLAS
+- `hug_model.py` - a Python utility for interactively choosing and downloading the latest `5_1` quantized models from [huggingface.co/TheBloke]( https://huggingface.co/TheBloke)
+- `Dockerfile` - a single OpenBLAS and CuBLAS combined Dockerfile that automatically installs a previously downloaded model `model.bin`
+ 
 # Get model from Hugging Face
 `python3 ./hug_model.py`
 
@@ -7,7 +13,7 @@ docker $ ls -lh *.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 download 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 |
@@ -21,20 +27,20 @@ lrwxrwxrwx 1 user user   24 May 23 18:30 model.bin -> <downloaded-model-file>.q5
 
 # 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!
+**Note #3:** This was tested with Docker running on Linux. If you can get it working on Windows or MacOS, please update this `README.md` 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:
+Use if you don't have a 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 [container-toolkit/install-guide](https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/install-guide.html))
+Requires a NVidia GPU with sufficient VRAM (approximately as much as the size above) 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 .`
+`docker build --build-arg IMAGE=nvidia/cuda:12.1.1-devel-ubuntu22.04 -t cublas .`
 ## Run:
 `docker run --cap-add SYS_RESOURCE -t cublas`