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Quarto GHA Workflow Runner
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<section id="quickstart" class="level2">
<h2 class="anchored" data-anchor-id="quickstart">Quickstart ⚡</h2>
<p>Get started with Axolotl in just a few steps! This quickstart guide will walk you through setting up and running a basic fine-tuning task.</p>
<p><strong>Requirements</strong>: <em>Nvidia</em> GPU (Ampere architecture or newer for <code>bf16</code> and Flash Attention) or <em>AMD</em> GPU, Python &gt;=3.10 and PyTorch &gt;=2.3.1.</p>
<p><strong>Requirements</strong>: <em>Nvidia</em> GPU (Ampere architecture or newer for <code>bf16</code> and Flash Attention) or <em>AMD</em> GPU, Python &gt;=3.10 and PyTorch &gt;=2.4.1.</p>
<div class="sourceCode" id="cb1"><pre class="sourceCode bash code-with-copy"><code class="sourceCode bash"><span id="cb1-1"><a href="#cb1-1" aria-hidden="true" tabindex="-1"></a><span class="ex">pip3</span> install <span class="at">--no-build-isolation</span> axolotl<span class="pp">[</span><span class="ss">flash</span><span class="pp">-</span><span class="ss">attn,deepspeed</span><span class="pp">]</span></span>
<span id="cb1-2"><a href="#cb1-2" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb1-3"><a href="#cb1-3" aria-hidden="true" tabindex="-1"></a><span class="co"># download examples and optionally deepspeed configs to the local path</span></span>