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KTransformers

Run huge MoE models locally by offloading experts to CPU and GPU.

KTransformers is an open-source framework from Tsinghua's KVCache.AI for optimized local LLM inference, focused on running very large mixture-of-experts models on modest hardware. It uses heterogeneous CPU/GPU offloading and kernel optimizations to serve models like DeepSeek-V3/R1 with only one or a few consumer GPUs plus system RAM, exposing an OpenAI-compatible API and a chat UI. It became widely known for making frontier-size MoE models runnable on a single workstation.

Repository

kvcache-ai/ktransformers

Language

Python

What you'd build with it

  • Running large MoE models (DeepSeek-V3/R1) locally with CPU+GPU expert offloading
  • Serving frontier-size models on a single workstation with limited VRAM but ample RAM
  • Experimenting with kernel-level inference optimizations behind an OpenAI-compatible API

Tags

servingmoeoffloadinglocal