TLDR Tech / DevOps
Airllm (GitHub Repo)
AirLLM, an open-source optimization tool, enables massive language models like 70B parameter models to run on a single 4GB GPU and 405B Llama 3.1 on 8GB VRAM without traditional compression techniques like quantization or pruning. The tool achieves this by decomposing models into layers and using block-wise quantization that speeds up inference by up to 3x while maintaining accuracy, with recent updates adding support for CPU inference, multiple model architectures including Qwen2.5, and MacOS compatibility.
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