Running a standard 4-bit quantized version of Qwen3.8-27B requires you to have between 15GB and 17GB of available VRAM and system RAM combined, so when an intrepid user tried running the same AI model on his Windows laptop featuring just 12GB of memory, the immediate reaction would be that this is an impossible task. However, by running open-source software, the user managed to pool four devices to combine the total system RAM, which allowed Qwen3.8-27B to fire up successfully. The obvious trade-off is immensely slow token speeds of 2 toks/second, making the 2-bit quantized version of Qwen3.8-27B a sensible approach […]
Read full article at https://wccftech.com/qwen38-27b-ai-model-runs-on-12gb-laptop-by-pooling-memory-across-four-devices/