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@ -24,12 +24,19 @@ docker run --rm --gpus=all -v path_to_files:/app -e JUPYTER_TOKEN='123' -p 8088
```--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.
Currently tested with:
### GPU Testing Information
| GPU Model | Memory (GB) |
|-------------|-------------|
| RTX 3090 Ti | 24 |
#### Currently Tested Configuration
Please note:<br>
| **GPU Model** | **Memory (GB)** |
|-----------------|-----------------|
| RTX 3090 Ti | 24 |
#### System Details
- **Operating System:** Windows 10
- **CUDA Version:** 12.2
#### Please note:
If you are using a different graphics card or a different Pytorch version, then you must adapt the Dockerfile accordingly. See:
[docs.unsloth.ai](https://docs.unsloth.ai/get-started/installation/pip-install)