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 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 **two core modules**: [kt-kernel](https://github.com/kvcache-ai/ktransformers/tree/main/kt-kernel/) and [kt-sft](https://github.com/kvcache-ai/ktransformers/tree/main/kt-sft).
 
 ## 🔥 Updates
+* **Apr 18, 2026**: Kimi-K2.6 Day0 Support!
 * **Mar 26, 2026**: Support AVX2-only CPU backend for KT-Kernel inference. ([Tutorial](./doc/en/kt-kernel/AVX2-Tutorial.md))
 * **Feb 13, 2026**: MiniMax-M2.5 Day0 Support! ([Tutorial](./doc/en/MiniMax-M2.5.md))
 * **Feb 12, 2026**: GLM-5 Day0 Support! ([Tutorial](./doc/en/kt-kernel/GLM-5-Tutorial.md))