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JimmyPeilinLi
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<h2 id="-updates"><a class="header" href="#-updates">🔥 Updates</a></h2>
<ul>
<li><strong>Aug 25, 2026</strong>: Uploaded a new easy-to-use <a href="./doc/en/SFT/KTransformers-Fine-Tuning_Cookbook.html">KTransformers × LlamaFactory MoE Fine-Tuning Cookbook</a>, covering hardware checks, installation, BF16/FP8/INT8 recipes, LoRA and full fine-tuning, resource planning, and troubleshooting.</li>
<li><strong>Aug 17, 2026</strong>: LoRA fine-tuning now supports compatible AVX512 x86 CPUs, including AMD servers, without requiring AMX. (<a href="https://github.com/kvcache-ai/ktransformers/releases/tag/v0.7.0">v0.7.0 Release Notes</a>)</li>
<li><strong>Aug 5, 2026</strong>: Introduced native block-FP8 LoRA fine-tuning, loading FP8 routed-expert weights directly from the checkpoint without materializing a complete BF16 copy. (<a href="https://github.com/kvcache-ai/ktransformers/pull/2141">PR #2141</a>)</li>
<li><strong>July 23, 2026</strong>: Added end-to-end BF16 full-parameter fine-tuning for MoE models, including complete checkpoint saving. (<a href="https://github.com/kvcache-ai/ktransformers/pull/2094">PR #2094</a>)</li>
<li><strong>June 21, 2026</strong>: MiniMax-M3 Day0 Support! (<a href="./doc/en/kt-kernel/MiniMax-M3-Tutorial.html">Tutorial</a>)</li>
<li><strong>June 17, 2026</strong>: GLM-5.2 Day0 Support! (<a href="./doc/en/kt-kernel/GLM-5.2-Tutorial.html">Tutorial</a>)</li>
<li><strong>May 6, 2026</strong>: KTransformers at <a href="https://paris2026.gosim.org/zh/schedule/">GOSIM Paris 2026</a> — “Agentic AI on Edge” track. We’ll present KT’s inference performance on consumer hardware.</li>
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<h2 id="-updates"><a class="header" href="#-updates">🔥 Updates</a></h2>
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<li><strong>Aug 25, 2026</strong>: Uploaded a new easy-to-use <a href="doc/en/SFT/KTransformers-Fine-Tuning_Cookbook.html">KTransformers × LlamaFactory MoE Fine-Tuning Cookbook</a>, covering hardware checks, installation, BF16/FP8/INT8 recipes, LoRA and full fine-tuning, resource planning, and troubleshooting.</li>
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<li><strong>Aug 5, 2026</strong>: Introduced native block-FP8 LoRA fine-tuning, loading FP8 routed-expert weights directly from the checkpoint without materializing a complete BF16 copy. (<a href="https://github.com/kvcache-ai/ktransformers/pull/2141">PR #2141</a>)</li>
<li><strong>July 23, 2026</strong>: Added end-to-end BF16 full-parameter fine-tuning for MoE models, including complete checkpoint saving. (<a href="https://github.com/kvcache-ai/ktransformers/pull/2094">PR #2094</a>)</li>
<li><strong>June 21, 2026</strong>: MiniMax-M3 Day0 Support! (<a href="doc/en/kt-kernel/MiniMax-M3-Tutorial.html">Tutorial</a>)</li>
<li><strong>June 17, 2026</strong>: GLM-5.2 Day0 Support! (<a href="doc/en/kt-kernel/GLM-5.2-Tutorial.html">Tutorial</a>)</li>
<li><strong>May 6, 2026</strong>: KTransformers at <a href="https://paris2026.gosim.org/zh/schedule/">GOSIM Paris 2026</a> — “Agentic AI on Edge” track. We’ll present KT’s inference performance on consumer hardware.</li>
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