Low-Memory LLM Inference: Meet AirLLM As open-source Large Language Models (LLMs) continue to grow in capability, their hardware requirements have ballooned alongside them. Running a 70B or 405B parameter model traditionally demands enterprise cloud GPU servers equipped with hundreds of gigabytes of VRAM. AirLLM is an open-source Python library developed by lyogavin to make massive model inference accessible on standard consumer hardware—allowing developers to run 70B models on G...