Kev: Tiny Jev-like family of decision models built on top of Qwen3.5
Kev is a family of small decision models built on Qwen3.5 and Qwen3.8 that you can train and run locally.
- The Kev-27B model requires 96–128 GB of RAM on Macs, a requirement marked as expected but not measured.
- An explicitly requested accelerator fails instead of falling back if the probe times out or crashes.