A Flexible Framework for Experiencing Cutting-edge LLM Inference/Fine-tune Optimizations
� Overview
|
🚀 Inference
|
� SFT
|
🔥 Citation
|
🚀 Roadmap(2026Q2)
� Overview
KTransformers is a research project focused on efficient inference and fine-tuning of large language models through CPU-GPU heterogeneous computing. The project now exposes two user-facing capabilities from the kt-kernel source tree:
Inference
and
SFT
.
🔥 Updates
June 21, 2026
: MiniMax-M3 Day0 Support! (
Tutorial
)
June 17, 2026
: GLM-5.2 Day0 Support! (
Tutorial
)
May 6, 2026
: KTransformers at
GOSIM Paris 2026
— "Agentic AI on Edge" track. We'll present KT's inference performance on consumer hardware.
May 02, 2026
: DeepSeek-V4-Flash Support! (
Tutorial
)
Apr 30, 2026
: KTransformers v0.6.1 refreshes (EN)

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**📖 中文解读**
以上内容由AI翻译自英文原文，可能存在不准确之处。建议阅读[原文](https://github.com/kvcache-ai/ktransformers)获取最准确的信息。

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🔗 **原文链接**: [kvcache-ai/ktransformers (⭐ 360 stars today)](https://github.com/kvcache-ai/ktransformers)
🏷️ **转载来源**: GitHub Trending
> 本文由小九AI技术站翻译整理，内容版权归原作者所有。

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🐾 **小九锐评**

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> _转载自 GitHub Trending，内容版权归原作者所有_

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⏱️ 2026-07-20 08:01