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Jared Palmer

jaredpalmer

VP of Engineering at Cognition

Models in Library2
Datasets in Library0
Models on Hugging Face4
Followers3

Models

Model · Text classification

kev-4b

Jared Palmer

kev-4b is a decision model: one document (the state) and a set of typed questions in, a probability distribution per question out, in one forward pass. No text generation. It is a LoRA adapter (r=16) plus a pointer head on Qwen/Qwen3-4B-Base, serving TypeSafe's public /v1/systemone contract. Research preview, not a versioned release. It is the best 4B checkpoint under a frozen, checksummed protocol after ~40 controlled 4B trials, and the first kev whose out-of-domain accuracy is within ten points of Jev on the same items. This checkpoint clears the release screen we set in advance (held-out policy pairs 0.73 both-correct, screen 70%), but the other two seeds of the same recipe do not (0.62…

Open weights apache-2.0 peft

Model · Text classification

kev-8b

Jared Palmer

kev-8b is a decision model: one document (the state) and a set of typed questions in, a probability distribution per question out, in one forward pass. No text generation. It is a LoRA adapter (r=16) plus a pointer head on Qwen/Qwen3-8B-Base (revision 49e3418f), serving TypeSafe's public /v1/systemone contract. Research preview, not a versioned release. It is the best checkpoint of any size under a frozen, checksummed protocol (best in-distribution accuracy, best Brier), trained with the low-learning-rate recipe found at 4B. It is the best out-of-domain kev (0.796 on transfer-v4 dev, 6 pp from Jev). It misses the release screen we set in advance by one pair (held-out policy pairs 0.69…

Open weights apache-2.0 peft