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More README.md corrections and cleanup

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Gary Mulder 2023-06-02 11:08:59 +00:00
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docker/README.md
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@ -4,7 +4,7 @@
[Install Docker Engine](https://docs.docker.com/engine/install) [Install Docker Engine](https://docs.docker.com/engine/install)
**Note #2:** NVidia GPU CuBLAS support 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)) **Note #2:** NVidia GPU CuBLAS support requires a 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))
# Simple Dockerfiles for building the llama-cpp-python server with external model bin files # 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 ## openblas_simple - a simple Dockerfile for non-GPU OpenBLAS, where the model is located outside the Docker image
@ -23,7 +23,8 @@ docker run -e USE_MLOCK=0 -e MODEL=/var/model/<model-path> -v <model-root-path>:
``` ```
where `<model-root-path>/<model-path>` is the full path to the model file on the Docker host system. where `<model-root-path>/<model-path>` is the full path to the model file on the Docker host system.
# "Open-Llama-in-a-box" - Download a MIT licensed Open Llama model and install into a Docker image that runs an OpenBLAS-enabled llama-cpp-python server # "Open-Llama-in-a-box"
## Download an Apache V2.0 licensed 3B paramter Open Llama model and install into a Docker image that runs an OpenBLAS-enabled llama-cpp-python server
``` ```
$ cd ./open_llama $ cd ./open_llama
./build.sh ./build.sh
@ -31,8 +32,8 @@ $ cd ./open_llama
``` ```
# Manually choose your own Llama model from Hugging Face # Manually choose your own Llama model from Hugging Face
- `python3 ./hug_model.py -a TheBloke -t llama` `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. 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 docker $ ls -lh *.bin
-rw-rw-r-- 1 user user 4.8G May 23 18:30 <downloaded-model-file>q5_1.bin -rw-rw-r-- 1 user user 4.8G May 23 18:30 <downloaded-model-file>q5_1.bin