PrismML Squeezes Qwen3.8 27B Into 5.9 GB With 98% Performance Retained

This story is from 2026-09-17. It is preserved in the archive; the latest stories are on the live feed.

PrismML's ternary-quantized 27B model retains 98.2% of full-precision Qwen3.8 27B performance in a 5.9GB footprint, hitting 143 tokens/sec on an RTX 5090.

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2026-09-17 21:03 · AlphaSignal
PrismML Squeezes Qwen3.8 27B Into 5.9 GB With 98% Performance Retained

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