Update README.md
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@ -231,6 +231,21 @@ else: raise RuntimeError(f"Torch = {v} too new!")
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x = x.format(cuda.replace(".", ""), "-ampere" if is_ampere else "")
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print(f'pip install --upgrade pip && pip install "unsloth[{x}] @ git+https://github.com/unslothai/unsloth.git"')
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```
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### Docker Installation
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You can use our pre-built Docker container with all dependencies to use Unsloth instantly with no setup required.
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[Read our guide](https://docs.unsloth.ai/get-started/install-and-update/docker).
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**This container requires installing [NVIDIA's Container Toolkit](https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/latest/install-guide.html)**.
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```bash
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docker run -d -e JUPYTER_PASSWORD="mypassword" \
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-p 8888:8888 -p 2222:22 \
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-v $(pwd)/work:/workspace/work \
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--gpus all \
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unsloth/unsloth
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```
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Access Jupyter Lab at `http://localhost:8888` and start fine-tuning!
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## 📜 Documentation
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- Go to our official [Documentation](https://docs.unsloth.ai) for saving to GGUF, checkpointing, evaluation and more!
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