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examples/colab-notebooks/colab-axolotl-example.html

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 <div class="code-copy-outer-scaffold"><div class="sourceCode cell-code" id="cb5"><pre class="sourceCode python code-with-copy"><code class="sourceCode python"><span id="cb5-1"><a href="#cb5-1" aria-hidden="true" tabindex="-1"></a><span class="im">from</span> axolotl.utils <span class="im">import</span> set_pytorch_cuda_alloc_conf</span>
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-<span id="cb5-3"><a href="#cb5-3" aria-hidden="true" tabindex="-1"></a><span class="co"># Set "PYTORCH_CUDA_ALLOC_CONF" env to save memory</span></span>
-<span id="cb5-4"><a href="#cb5-4" aria-hidden="true" tabindex="-1"></a>set_pytorch_cuda_alloc_conf()</span></code></pre></div><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></div>
+<span id="cb5-3"><a href="#cb5-3" aria-hidden="true" tabindex="-1"></a>set_pytorch_cuda_alloc_conf()</span></code></pre></div><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></div>
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index.html

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 <h2 class="anchored" data-anchor-id="latest-updates">🎉 Latest Updates</h2>
 <ul>
-<li>2025/12: Axolotl now includes support for <a href="https://github.com/axolotl-ai-cloud/axolotl/blob/main/examples/olmo3">Olmo3</a>, <a href="https://github.com/axolotl-ai-cloud/axolotl/tree/main/examples/trinity">Trinity</a>, and <a href="https://github.com/axolotl-ai-cloud/axolotl/blob/main/examples/ministral">Ministral3</a>.</li>
+<li>2025/12: Axolotl now includes support for <a href="https://github.com/axolotl-ai-cloud/axolotl/blob/main/examples/olmo3">Olmo3</a>, <a href="https://github.com/axolotl-ai-cloud/axolotl/tree/main/examples/trinity">Trinity</a>, and <a href="https://github.com/axolotl-ai-cloud/axolotl/blob/main/examples/ministral3">Ministral3</a>.</li>
 <li>2025/10: New model support has been added in Axolotl for: <a href="https://github.com/axolotl-ai-cloud/axolotl/blob/main/examples/qwen3-next">Qwen3 Next</a>, <a href="https://github.com/axolotl-ai-cloud/axolotl/tree/main/examples/qwen2_5-vl">Qwen2.5-vl, Qwen3-vl</a>, <a href="https://github.com/axolotl-ai-cloud/axolotl/tree/main/examples/qwen3">Qwen3, Qwen3MoE</a>, <a href="https://github.com/axolotl-ai-cloud/axolotl/tree/main/examples/granite4">Granite 4</a>, <a href="https://github.com/axolotl-ai-cloud/axolotl/tree/main/examples/hunyuan">HunYuan</a>, <a href="https://github.com/axolotl-ai-cloud/axolotl/tree/main/examples/magistral#vision">Magistral 2509</a>, <a href="https://github.com/axolotl-ai-cloud/axolotl/tree/main/examples/apertus">Apertus</a>, and <a href="https://github.com/axolotl-ai-cloud/axolotl/tree/main/examples/seed-oss">Seed-OSS</a>.</li>
 <li>2025/09: Axolotl now has text diffusion training. Read more <a href="https://github.com/axolotl-ai-cloud/axolotl/tree/main/src/axolotl/integrations/diffusion">here</a>.</li>
 <li>2025/08: QAT has been updated to include NVFP4 support. See <a href="https://github.com/axolotl-ai-cloud/axolotl/pull/3107">PR</a>.</li>