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docs/docker.html
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<p>This section describes the different Docker images that are released by AxolotlAI at <a href="https://hub.docker.com/u/axolotlai">Docker Hub</a>.</p>
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Important
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<p>For Blackwell GPUs, please use the tags with Pytorch 2.7.0 and CUDA 12.8.</p>
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<h2 class="anchored" data-anchor-id="base">Base</h2>
<p>The base image is the most minimal image that can install Axolotl. It is based on the <code>nvidia/cuda</code> image. It includes python, torch, git, git-lfs, awscli, pydantic, and more.</p>

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<p>Follow the instructions at: <a href="https://pytorch.org/get-started/locally/">https://pytorch.org/get-started/locally/</a></p>
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<p>For Blackwell GPUs, please use Pytorch 2.7.0 and CUDA 12.8.</p>
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<h3 data-number="2.1" class="anchored" data-anchor-id="sec-pypi"><span class="header-section-number">2.1</span> PyPI Installation (Recommended)</h3>
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<span id="cb5-6"><a href="#cb5-6" aria-hidden="true" tabindex="-1"></a> axolotlai/axolotl:main-latest</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
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<p>For Blackwell GPUs, please use <code>axolotlai/axolotl:main-py3.11-cu128-2.7.0</code> or the cloud variant <code>axolotlai/axolotl-cloud:main-py3.11-cu128-2.7.0</code>.</p>
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<p>Please refer to the <a href="../docs/docker.html">Docker documentation</a> for more information on the different Docker images that are available.</p>
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