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Update tutorial links in README.md (#1749)

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Jiaqi Liao
2025-12-25 14:26:10 +08:00
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@@ -17,9 +17,9 @@ KTransformers is a research project focused on efficient inference and fine-tuni
## 🔥 Updates
* **Dec 24, 2025**: Support Native MiniMax-M2.1 inference. ([Tutorial](./doc/en/MiniMax-M2.1-Tutorial.md))
* **Dec 24, 2025**: Support Native MiniMax-M2.1 inference. ([Tutorial](./doc/en/kt-kernel/MiniMax-M2.1-Tutorial.md))
* **Dec 22, 2025**: Support RL-DPO fine-tuning with LLaMA-Factory. ([Tutorial](./doc/en/SFT/DPO_tutorial.md))
* **Dec 5, 2025**: Support Native Kimi-K2-Thinking inference ([Tutorial](./doc/en/Kimi-K2-Thinking-Native.md))
* **Dec 5, 2025**: Support Native Kimi-K2-Thinking inference ([Tutorial](./doc/en/kt-kernel/Kimi-K2-Thinking-Native.md))
* **Nov 6, 2025**: Support Kimi-K2-Thinking inference ([Tutorial](./doc/en/Kimi-K2-Thinking.md)) and fine-tune ([Tutorial](./doc/en/SFT_Installation_Guide_KimiK2.md))
* **Nov 4, 2025**: KTransformers Fine-Tuning × LLaMA-Factory Integration. ([Tutorial](./doc/en/KTransformers-Fine-Tuning_User-Guide.md))
* **Oct 27, 2025**: Support Ascend NPU. ([Tutorial](./doc/zh/DeepseekR1_V3_tutorial_zh_for_Ascend_NPU.md))