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2026-03-03 14:34:09 +00:00
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@@ -784,31 +784,16 @@ gtag('config', 'G-9KYCVJBNMQ', { 'anonymize_ip': true});
<section id="getting-started" class="level2">
<h2 class="anchored" data-anchor-id="getting-started">Getting started</h2>
<ol type="1">
<li><p>Install Axolotl following the <a href="https://docs.axolotl.ai/docs/installation.html">installation guide</a>. You need to install from main as Qwen3-Next is only on nightly or use our latest <a href="https://docs.axolotl.ai/docs/docker.html">Docker images</a>.</p>
<p>Here is an example of how to install from main for pip:</p></li>
<li><p>Install Axolotl following the <a href="https://docs.axolotl.ai/docs/installation.html">installation guide</a>.</p></li>
<li><p>Install <a href="https://docs.axolotl.ai/docs/custom_integrations.html#cut-cross-entropy">Cut Cross Entropy</a> to reduce training VRAM usage.</p></li>
<li><p>Install FLA for improved performance</p></li>
</ol>
<div class="code-copy-outer-scaffold"><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="co"># Ensure you have Pytorch installed (Pytorch 2.6.0 min)</span></span>
<span id="cb1-2"><a href="#cb1-2" aria-hidden="true" tabindex="-1"></a><span class="fu">git</span> clone https://github.com/axolotl-ai-cloud/axolotl.git</span>
<span id="cb1-3"><a href="#cb1-3" aria-hidden="true" tabindex="-1"></a><span class="bu">cd</span> axolotl</span>
<span id="cb1-4"><a href="#cb1-4" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb1-5"><a href="#cb1-5" aria-hidden="true" tabindex="-1"></a><span class="ex">pip3</span> install packaging==26.0 setuptools==75.8.0 wheel ninja</span>
<span id="cb1-6"><a href="#cb1-6" aria-hidden="true" tabindex="-1"></a><span class="ex">pip3</span> install <span class="at">--no-build-isolation</span> <span class="at">-e</span> <span class="st">'.[flash-attn]'</span></span>
<span id="cb1-7"><a href="#cb1-7" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb1-8"><a href="#cb1-8" aria-hidden="true" tabindex="-1"></a><span class="co"># Install CCE https://docs.axolotl.ai/docs/custom_integrations.html#cut-cross-entropy</span></span>
<span id="cb1-9"><a href="#cb1-9" aria-hidden="true" tabindex="-1"></a><span class="ex">python</span> scripts/cutcrossentropy_install.py <span class="kw">|</span> <span class="fu">sh</span></span></code></pre></div><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></div>
<ol start="2" type="1">
<li>Install Qwen3-Next transformers commit</li>
</ol>
<div class="code-copy-outer-scaffold"><div class="sourceCode" id="cb2"><pre class="sourceCode bash code-with-copy"><code class="sourceCode bash"><span id="cb2-1"><a href="#cb2-1" aria-hidden="true" tabindex="-1"></a><span class="ex">pip3</span> uninstall <span class="at">-y</span> transformers <span class="kw">&amp;&amp;</span> <span class="ex">pip3</span> install <span class="st">"git+https://github.com/huggingface/transformers.git@b9282355bea846b54ed850a066901496b19da654"</span></span></code></pre></div><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></div>
<ol start="3" type="1">
<li>Install FLA for improved performance</li>
</ol>
<div class="code-copy-outer-scaffold"><div class="sourceCode" id="cb3"><pre class="sourceCode bash code-with-copy"><code class="sourceCode bash"><span id="cb3-1"><a href="#cb3-1" aria-hidden="true" tabindex="-1"></a><span class="ex">pip3</span> uninstall <span class="at">-y</span> causal-conv1d <span class="kw">&amp;&amp;</span> <span class="ex">pip3</span> install flash-linear-attention==0.3.2</span></code></pre></div><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></div>
<div class="code-copy-outer-scaffold"><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> uninstall <span class="at">-y</span> causal-conv1d <span class="kw">&amp;&amp;</span> <span class="ex">pip3</span> install flash-linear-attention==0.4.1</span></code></pre></div><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></div>
<ol start="4" type="1">
<li>Run the finetuning example:</li>
</ol>
<div class="code-copy-outer-scaffold"><div class="sourceCode" id="cb4"><pre class="sourceCode bash code-with-copy"><code class="sourceCode bash"><span id="cb4-1"><a href="#cb4-1" aria-hidden="true" tabindex="-1"></a><span class="ex">axolotl</span> train examples/qwen3-next/qwen3-next-80b-a3b-qlora.yaml</span></code></pre></div><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></div>
<p>This config uses about 45.62 GiB VRAM.</p>
<div class="code-copy-outer-scaffold"><div class="sourceCode" id="cb2"><pre class="sourceCode bash code-with-copy"><code class="sourceCode bash"><span id="cb2-1"><a href="#cb2-1" aria-hidden="true" tabindex="-1"></a><span class="ex">axolotl</span> train examples/qwen3-next/qwen3-next-80b-a3b-qlora.yaml</span></code></pre></div><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></div>
<p>This config uses about ~47 GiB (no target experts) and ~71GiB (target experts) VRAM.</p>
<p>Let us know how it goes. Happy finetuning! 🚀</p>
<section id="tips" class="level3">
<h3 class="anchored" data-anchor-id="tips">TIPS</h3>