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How to Run 30B MoE Models on an 8GB Consumer GPU with Hybrid Offloading in Python

Running massive 30B+ Mixture-of-Experts (MoE) models locally usually requires dual RTX 3090/4090s (48GB VRAM) or costly enterprise cloud instances (A100/H100). If you only have an 8GB VRAM consumer GPU or an Apple Silicon Mac, you are usually forced to pay high API token bills or settle for small 7…

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  1. 2026-11-03 23:19 · DEV Community — Machine Learning
    How to Run 30B MoE Models on an 8GB Consumer GPU with Hybrid Offloading in Python

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