1.5-bit quantization shrinks Qwen 27B from 60GB to 6GB, enough to run on a Raspberry Pi
rohanpaul_ai · x · 2026-10-08
A team at Prism ML compressed Alibaba's Qwen 27B to 1.5-bit precision (from 16-bit), cutting memory needs from 60GB to 6GB while keeping 95% of performance. At 6GB it runs on a Raspberry Pi. Emad Mostaque frames this as AI models having "pretty much reached the efficiency of a human brain," noting the Pi uses about as much energy as your brain. Full discussion on Tom Bilyeu's YouTube channel.
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