Jeeves, a reasoning-based Jev-style classifier, outperforms Jev and Kev-9B benchmarks
Jeeves is a new 9B-parameter Jev-like decision model built on Qwen3.5-9B with LoRA and a pointer head, trained using SFT and CISPO with a block-4 diffusion drafter. It supports yes/no, multiple-choice, and rating questions through a Jev-compatible API, and reports test accuracy of 0.889 versus 0.822 for Kev-9B and 0.857 for Jev, plus a 0.935 score on JevBench's public tiers versus 0.866 for Jev.