Researcher praises narrowing quality gap for ternary models
4 Sep 17 11:05 PM · 8d ago · 2 posts · 1 source · development 4 of 4
Babak Hassibi posted that he was excited about the release and highlighted how quickly ternary models have closed the quality gap with full-precision counterparts.
“It is remarkable how quickly the quality gap between ternary and full-precision models has been narrowed.”
@babakhassibiPrismML AI lab, developer of Bonsai modelsBabak Hassibi AI researcher / commenterMiaAI_lab AI lab account
The whole story articlesposts the bright band is this development · numbered dots are the others · click one to jump
What people said 2 voices · verbatim
-
Very excited about today's release of Bonsai 2 27B. It is remarkable how quickly the quality gap between ternary and full-precision models has been narrowed. Across a suite of 20 benchmarks, Ternary Bonsai 2 27B retains 98.2% of Qwen3.8 27B's aggregate performance, despite being more than 9x smalle...
-
Today, we're announcing Ternary Bonsai 2 27B. Based on Qwen3.8 27B, Bonsai 2 27B is 9x smaller than its full-precision counterpart while retaining 98.2% of its aggregate benchmark performance. Two months after the first Bonsai 27B release, the biggest change is quality. The footprint remains 5.9 ...
All 4 developments of PrismML ships Ternary Bonsai 2 27B, a 5.9GB model near… →
XGoogle News