ktransformers
A Flexible Framework for Experiencing Heterogeneous LLM Inference/Fine-tune Optimizations
KTransformers uses clever CPU/GPU offloading to run very large mixture-of-experts models on a single consumer GPU that could not otherwise fit them.
From the README
- Mar 26, 2026: Support AVX2-only CPU backend for KT-Kernel inference. (Tutorial)
- Feb 13, 2026: MiniMax-M2.5 Day0 Support! (Tutorial)
- Feb 12, 2026: GLM-5 Day0 Support! (Tutorial)
- Jan 27, 2026: Kimi-K2.5 Day0 Support! (Tutorial) (SFT Tutorial)
Excerpts from the project README on GitHub. Copyright and licensing remain with the respective authors.
Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.
Get an email alert on its next release or when it starts trending — never miss the moment.
Free · no card · unsubscribe anytimeA Flexible Framework for Experiencing Heterogeneous LLM Inference/Fine-tune Optimizations
ktransformers has 19.3k stars on GitHub. It has been forked 1.5k times. ktransformers is written mainly in Python. It has been in active development since 2024. ktransformers is available under the Apache-2.0 license.
Read the full guideWhat is ktransformers?
A Flexible Framework for Experiencing Heterogeneous LLM Inference/Fine-tune Optimizations
Is ktransformers open source?
ktransformers is an open-source project. It is released under the Apache-2.0 license.
Is ktransformers free?
Yes. ktransformers is free and open source — you can use, modify and self-host it.
What license does ktransformers use?
ktransformers is available under the Apache-2.0 license.
What language is ktransformers written in?
ktransformers is written mainly in Python.
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://olud.ai/project/kvcache-ai-ktransformers.html)
