Skip to content

Slvfli

model optimization

**Working Title:** *Ternary Bonsai 2 27B: How PrismML Squeezed a 27B Model Into 5.9GB Without Losing Its Mind*

September 18, 2026September 4, 2026 by krishna
**Working Title:** *Ternary Bonsai 2 27B: How PrismML Squeezed a 27B Model Into 5.9GB Without Losing Its Mind* — ternary bonsai 2 27b

PrismML’s Ternary Bonsai 2 27B crams a 27-billion-parameter model into 5.9GB while retaining 98.2% of performance. See how ternary quantization works.

Categories Uncategorized Tags ai compression, model optimization, prismml Leave a comment

Recent Posts

  • Gemini 3.8 Live and 3.8 Live Extended Thinking
  • Crusoe raises $3.9B to build massive data centers and small modular AI factories
  • Rethinking Robot Safety in the Age of AI
  • Bend – A language that blocks AI mistakes via proof, on CPU and GPU
  • Governance-as-Code: Translating EU AI Act Technical Requirements into Executable Compliance Pipelines for Generative AI Systems

Recent Comments

No comments to show.
© 2026 Slvfli • Built with GeneratePress