AirLLM Runs 70B Models on 4GB VRAM Without Quantization

The open-source Python library AirLLM enables running 70 billion parameter LLMs on a single 4GB VRAM GPU without quantization or pruning. It achieves this by streaming expert layers individually, dramatically lowering hardware barriers.

2026-08-03 ~ 2026-08-04 · 2 related posts

• AirLLM Breaks VRAM Barrier: Runs 70B LLMs on a Single 4GB GPU — techNmak · 2026-08-03
• AirLLM: Run 70B LLMs on a 4GB GPU with Zero Quantization — petrusenko_max · 2026-08-04