### Install Docker Server > [!IMPORTANT] > 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) ## Simple Dockerfiles for building the llama-cpp-python server with external model bin files ### openblas_simple A simple Dockerfile for non-GPU OpenBLAS, where the model is located outside the Docker image: ``` cd ./openblas_simple docker build -t openblas_simple . docker run --cap-add SYS_RESOURCE -e USE_MLOCK=0 -e MODEL=/var/model/ -v :/var/model -t openblas_simple ``` where `/` is the full path to the model file on the Docker host system. ### cuda_simple > [!WARNING] > Nvidia GPU CuBLAS support requires an Nvidia GPU with sufficient VRAM (approximately as much as the size in the table below) and Docker Nvidia support (see [container-toolkit/install-guide](https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/install-guide.html))
A simple Dockerfile for CUDA-accelerated CuBLAS, where the model is located outside the Docker image: ``` cd ./cuda_simple docker build -t cuda_simple . docker run --gpus=all --cap-add SYS_RESOURCE -e USE_MLOCK=0 -e MODEL=/var/model/ -v :/var/model -t cuda_simple ``` where `/` is the full path to the model file on the Docker host system. -------------------------------------------------------------------------- ### "Open-Llama-in-a-box" Download an Apache V2.0 licensed 3B params Open LLaMA model and install into a Docker image that runs an OpenBLAS-enabled llama-cpp-python server: ``` $ cd ./open_llama ./build.sh ./start.sh ``` ### Manually choose your own Llama model from Hugging Face `python3 ./hug_model.py -a TheBloke -t llama` 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 q5_1.bin lrwxrwxrwx 1 user user 24 May 23 18:30 model.bin -> q5_1.bin ``` > [!NOTE] > 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 | |------:|----------------:| | 3B | 3 GB | | 7B | 5 GB | | 13B | 10 GB | | 33B | 25 GB | | 65B | 50 GB | > [!NOTE] > If you want to pass or tune additional parameters, customise `./start_server.sh` before running `docker build ...`