ktransformers Enables Local Inference of Massive Models on 24GB VRAM

Tsinghua University's ktransformers is a flexible framework optimizing heterogeneous LLM inference and fine-tuning. By smartly offloading MoE components between CPUs and GPUs, it enables local execution of massive models using only 24GB of VRAM.

2026-07-18 ~ 2026-07-19 · 4 related posts

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