Open SourceInference14k
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/ktransformersLanguage
PythonWhat 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