1.5-bit quantization cuts Qwen 27B memory from 60GB to 6GB, enough to run on a Raspberry Pi
rohanpaul_ai · x · 2026-10-08
On the Tom Bilyeu show, Emad Mostaque claimed AI models have "pretty much reached the efficiency of a human brain," citing Prism ML: the team compressed Alibaba's Qwen 27B from 60GB of memory down to 6GB by storing weights at 1.5 bits instead of 16, retaining 95% of performance. At 6GB the model runs on a Raspberry Pi, which uses roughly as much energy as a human brain.
Related event: 1.5-bit quantization shrinks Qwen 27B to run on a Raspberry Pi(3 posts)→
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