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Kev has now been refactored on top of Qwen3.5. New checkpoints are now available at 0.8B, 4B, and 9B along with a fine-tuning script you can use with @modal. https://github.com/jaredpalmer/kev https://x.com/jaredpalmer/status/2102048…
Jared Palmer@jaredpalmer1d ago
UPDATE: Kev-0.6B, 4B, and 8B are now available. Kev is a family of small open source Jev-like decision models you can train and run yourself. This new family is based on Qwen3 using the same LoRA + small pointer head technique as before, but scaled up. Out of domain, on data Kev never trained on: Kev-8B 79.6%, Jev 85.7%. • Drop-in TypeSafe System One API; their SDK works with one `base_url` change • Kev-4B serves on a 32 GB Mac in bf16: ~300 ms for five questions, ~40 ms on an H100 • Repeated documents hit a KV cache: 2-2.5x faster • Apache 2.0 License. Kev-4B trains in 40 minutes on one H100. Kev-8B in 83 minutes. Code, weights, evals: https://github.com/jaredpalmer/kev
