- Docker must be installed and running on your system.
- Create a folder to store big models & intermediate files (ex. /mnt/models)
There is a Docker image available for our project, you can pull the docker image by:
docker pull approachingai/ktransformers:0.1.1
Notice: In this image, we compile the ktransformers in AVX512 instuction CPUs, if your cpu not support AVX512, it is suggested to recompile and install ktransformer in the /workspace/ktransformers directory within the container.
-
Download Dockerfile in there
-
finish, execute
docker build -t approachingai/ktransformers:v0.1.1 .
Assuming you have the nvidia-container-toolkit that you can use the GPU in a Docker container.
docker run --gpus all -v /path/to/models:/models -p 10002:10002 approachingai/ktransformers:v0.1.1 --port 10002 --gguf_path /models/path/to/gguf_path --model_path /models/path/to/model_path --web True
More operators you can see in the readme