airllm

#airllm

@NFTCPS: 4GB VRAM running 70B large model? It actually works! AirLLM did a clever trick — layered inference, not loading the whole model into VRAM at once, but layer by layer, compute and discard, squeezing the giant into a small GPU. The best part: 100% open source, freebie warning https://github.com/0xSo…

X AI KOLs Timeline ↗ · yesterday Cached

AirLLM is a fully open-source tool that uses layered inference (loading and releasing VRAM layer by layer) to enable 70B large language models to run on GPUs with only 4GB VRAM, without quantization, distillation, or pruning. It already supports running Llama3.1 405B on 8GB VRAM.

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