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

• ktransformers: Run LLMs on 24GB VRAM — dosco · 2026-07-18
• ktransformers Lets You Run Giant Models Locally — alex_verem · 2026-07-18
• KTransformers: LLM Inference and Fine-Tuning Framework — thesupermanmx · 2026-07-19
• ktransformers: Heterogeneous LLM Optimization Framework — kvcache-ai · 2026-07-19