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The open-source tool AirLLM enables 70B large models to run on a single 4GB consumer-grade GPU without quantization or distillation. The latest 2.8T parameter Kimi K3 requires just 3.72GB of VRAM. We read its GitHub documentation to explain how it works and whether you should use it.