
Kev makes Jev-style decisions self-hosted
Kev is an open-source family of Qwen-based decision models that returns typed choices, scores, and probabilities through a Jev-compatible API, with local serving and fine-tuning support. The accompanying video probes how reliably Jev-like systems behave under adversarial inputs. [GitHub](https://github.com/jaredpalmer/kev)
Kev’s strongest pitch is control: developers can inspect, calibrate, fine-tune, and run decision models without outsourcing every judgment to a hosted API. But self-hosting does not make confidence automatically trustworthy; task-specific evaluation remains essential.
- –Drop-in compatibility with TypeSafe’s API lowers migration friction for existing Jev workflows.
- –Model sizes from 0.8B to 27B let teams trade latency, hardware cost, and accuracy.
- –Typed outputs and calibrated probabilities fit routing, moderation, scoring, and agent guardrails better than free-form JSON generation.
- –Open weights and training code make private-data adaptation practical for teams with labeled examples.
- –The video’s adversarial-testing angle is important: prompt wording, option design, and distribution shifts can still expose brittle decisions.
DISCOVERED
1h ago
2026-10-01
PUBLISHED
1h ago
2026-10-01
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The PrimeTime