docker: update readme
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@ -30,9 +30,7 @@
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You **must** have a GPU attached to your system when building the container (required for building VLLM).
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1. Install the [NVIDIA Container Toolkit](https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/latest/install-guide.html) and CUDA 11.8.
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2. `sudo docker build .`
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If you want to build the latest VLLM, add `--no-cache`
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Don't forget about `--progress=plain`
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2. `sudo docker build .` If you want to build the latest VLLM, add `--no-cache`
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To run the container on your local machine:
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@ -42,7 +40,7 @@ sudo docker run -it --shm-size 14g --gpus all -v /home/user/testing123/notebooks
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You will need to create a directory to mount inside the container (for example: `/home/user/testing123/`). Within this should be the folder `models` that holds the model to load, `rathole-client.toml`, and `cmd.txt`.
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If you need to debug something you can start a shell inside the container:
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If you need to debug something, you can start a shell inside the container:
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```bash
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sudo docker run -it --shm-size 14g --gpus all -v /home/user/testing123/notebooks:/notebooks -v /home/user/testing123/storage:/storage -p 8888:8888 --entrypoint bash cyberes/vllm-paperspace:latest
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