typesafeListed 3 days ago
TypeSafe: Jev 1.14
Scores questions against one shared state in parallel; customize domain rules through criteria rather than per-customer fine-tuning.
262.1K contextImage inputNo reported score
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nace-aiListed 9 days ago
drex-v1.5
Drex v1.5 is a 9B decision model from Nace.AI. Given a state (text or JSON) and typed questions (yes/no, multiple choice, or ordinal score), it returns a calibrated probability for every option in a single…
131.1K contextOpen weightsNo reported score
No reported score
nace-aiListed 9 days ago
drex-v2.0
Drex v2.0 is a 35B mixture-of-experts decision model (3B active) from Nace.AI. Given a state (text or JSON) and typed questions (yes/no, multiple choice, or ordinal score), it returns a calibrated…
131.1K contextNo reported score
No reported score
jaredpalmerListed 22 days ago
Jared Palmer: Kev 4B
Kev 4B is a small open-weight decision model from Jared Palmer, built as a LoRA adapter and pointer head on Qwen3.5-4B-Base and served over the same /v1/systemone contract as TypeSafe's...
8.2K context4BOpen weightsNo reported score
No reported score
typesafeListed 30 days ago
TypeSafe: Jev Latest
This model always redirects to the latest model in the Jev family.
262.1K contextImage inputNo reported score
No reported score
typesafeListed 30 days ago
TypeSafe: Jev 1.13
Jev is a structured decision model from TypeSafe, and the first of its System One models. System One models make fast, structured decisions for software, returning a typed choice rather...
262.1K contextImage inputNo reported score
No reported score