docker/unsloth/README.md aktualisiert
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@ -16,8 +16,9 @@ docker build -t cuda-unsloth-jupyter .
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And mount your directory to the ```/app``` path when starting.
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And mount your directory to the ```/app``` path when starting.
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Setting default password to: `123`
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```shell
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```shell
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docker run --rm --gpus=all -v path_to_files:/app -d cuda-unsloth-jupyter
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docker run --rm --gpus=all -v path_to_files:/app -e JUPYTER_TOKEN='123' -p 8088:8088 -d cuda-unsloth-jupyter
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```
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```
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```--rm```: This flag automatically deletes the container after it exits, freeing up disk space and keeping the environment clean. Add the `-it` flag to run the container in interactive mode, giving you direct access to its shell. Use `-d` to detach the container and run it in the background. Combining `-itd` allows you to interact with the container initially, then detach, leaving it running in the background.
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```--rm```: This flag automatically deletes the container after it exits, freeing up disk space and keeping the environment clean. Add the `-it` flag to run the container in interactive mode, giving you direct access to its shell. Use `-d` to detach the container and run it in the background. Combining `-itd` allows you to interact with the container initially, then detach, leaving it running in the background.
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@ -28,3 +29,7 @@ Currently tested with:
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| GPU Model | Memory (GB) |
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| GPU Model | Memory (GB) |
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|-------------|-------------|
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|-------------|-------------|
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| RTX 3090 Ti | 24 |
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| RTX 3090 Ti | 24 |
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Please note:<br>
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If you are using a different graphics card or a different Pytorch version, then you must adapt the Dockerfile accordingly. See:
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[docs.unsloth.ai](https://docs.unsloth.ai/get-started/installation/pip-install)
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