Qwen3 5 9b - GoKawiil

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.

github.com · 2026-09-29

Apple researchers unveil LensVLM-9B, a vision-language model for reading compressed text images

Apple has introduced LensVLM, built on Qwen3.5-9B-Base, which lets vision-language models scan compressed text-as-image inputs and selectively expand only relevant portions using learned tools rather than reading everything at full resolution. The model reportedly matches full-text accuracy at 4.3x compression and beats retrieval and compression baselines up to 10.1x compression across seven QA benchmarks, plus document and code tasks.

huggingface.co · 2026-09-23