PrismML's 98.2% Claim for Ternary 27B Model Challenged in Real-World Tests

PrismML claimed its 5.9GB ternary-quantized Qwen3.8 27B retains 98.2% of full-precision performance, but community testing showed the score came from cherry-picked static benchmarks and the model failed badly on real agent tasks.

2026-09-19 ~ 2026-09-19 · 2 related posts

• Qwen3.8 27B's 98.2% Benchmark Slammed: Real Agentic Tasks Fall Apart — teortaxesTex · 2026-09-19
• Real agent tests expose gap between 98.2% benchmark scores and actual quantized model performance — TheMoonMidas · 2026-09-19