Nace AI פותח Drex 1.5: 9B דגם החלטה שמדרג אפשרויות, לא טקסט

תקציר מקורי באנגליתNace.AI has open-sourced Drex 1.5 , a 9B decision model for agents and backend workflows. The Drex 1.5 decision model does not write text. It reads a state and typed questions, then returns a probability for every option. Nace reports 58.08 on the public Decision Index 0.3.1 , the top score under 10B parameters. Weights are on Hugging Face, and a hosted version is live on OpenRouter . TL;DR Size: 8.95B parameters (dense), bf16 weights about 18 GB. Context is 16,384 tokens by default, up to 131,072. Runs on: 1 CUDA GPU in bf16 (tested on a 24 GB A10G). A Q8_0 GGUF (about 9.5 GB) runs on Apple silicon and CPU. Performance: 58.08 on Decision Index 0.3.1 (public), within the board’s tie band of Jev 1.13.0 (57.96). Best: 93.4% accuracy on 32K to 128K token documents. Worst: 7.4% per-revie