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<p>KTransformers is a research project focused on efficient inference and fine-tuning of large language models through CPU-GPU heterogeneous computing. The project has evolved into <strong>two core modules</strong>: <a href="https://github.com/kvcache-ai/ktransformers/tree/main/kt-kernel/">kt-kernel</a> and <a href="https://github.com/kvcache-ai/ktransformers/tree/main/kt-sft">kt-sft</a>.</p>
<h2 id="-updates"><a class="header" href="#-updates">🔥 Updates</a></h2>
<ul>
<li><strong>Apr 18, 2026</strong>: Kimi-K2.6 Day0 Support!</li>
<li><strong>Mar 26, 2026</strong>: Support AVX2-only CPU backend for KT-Kernel inference. (<a href="./doc/en/kt-kernel/AVX2-Tutorial.html">Tutorial</a>)</li>
<li><strong>Feb 13, 2026</strong>: MiniMax-M2.5 Day0 Support! (<a href="./doc/en/MiniMax-M2.5.html">Tutorial</a>)</li>
<li><strong>Feb 12, 2026</strong>: GLM-5 Day0 Support! (<a href="./doc/en/kt-kernel/GLM-5-Tutorial.html">Tutorial</a>)</li>

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<p>KTransformers is a research project focused on efficient inference and fine-tuning of large language models through CPU-GPU heterogeneous computing. The project has evolved into <strong>two core modules</strong>: <a href="https://github.com/kvcache-ai/ktransformers/tree/main/kt-kernel/">kt-kernel</a> and <a href="https://github.com/kvcache-ai/ktransformers/tree/main/kt-sft">kt-sft</a>.</p>
<h2 id="-updates"><a class="header" href="#-updates">🔥 Updates</a></h2>
<ul>
<li><strong>Apr 18, 2026</strong>: Kimi-K2.6 Day0 Support!</li>
<li><strong>Mar 26, 2026</strong>: Support AVX2-only CPU backend for KT-Kernel inference. (<a href="doc/en/kt-kernel/AVX2-Tutorial.html">Tutorial</a>)</li>
<li><strong>Feb 13, 2026</strong>: MiniMax-M2.5 Day0 Support! (<a href="doc/en/MiniMax-M2.5.html">Tutorial</a>)</li>
<li><strong>Feb 12, 2026</strong>: GLM-5 Day0 Support! (<a href="doc/en/kt-kernel/GLM-5-Tutorial.html">Tutorial</a>)</li>

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