AirLLM: Run 70B LLMs on a 4GB GPU with Zero Quantization
petrusenko_max · x · 2026-08-04
The open-source project AirLLM demonstrates breakthrough capabilities for running massive models in extremely low VRAM environments.
By streaming experts one at a time, the framework runs 70B parameter LLMs on a single 4GB GPU without any quantization or pruning. Its scalability is astonishing: it supports 405B Llama 3.1 on 8GB, DeepSeek-V3 (671B) on 12GB, and even Kimi K3 (2.8T) on under 4GB of VRAM.
Related event: AirLLM Runs 70B Models on 4GB VRAM Without Quantization(2 posts)→
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