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Noul-only model

A local decision model that answers yes/no questions and rejects Choice and Score instead of guessing a shape.

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API & Models
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Added
2026-09-28

Definition

jevos serves Jev's JSON and returns a noul probability between 0 and 1. Choice and Score questions get HTTP 422. Optional criteria are accepted and not read. The README lists multiple choice and scores as not yet available.

A client that sends a mixed question map will fail the whole request. Split yes/no traffic onto a Noul-only server only when every question in the call is a Noul, or keep Choice and Score on a server that implements them.

Tagsmodelsnoul

From the directory

1.1kGitHub stars
A local yes/no decision model that speaks Jev's wire format on a laptop CPU, refusing Choice and Score until those question types ship.
Models & Reimplementations#community#python#open-models

From the community

Posts from builders shipping with Jev right now.

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$10,000 in Jev’s hands

I gave Jev $10,000 and let it trade

Diogo Almeida
Diogo Almeida
TypeSafe AI
@CompleteSkeptic

After co-inventing ChatGPT, I kept asking myself: why have superhuman chat models not led to AGI? I’ve spent the last 2 years in stealth building a new way to train models (RLCD), and a new type of frontier AI model that we are releasing today: Jev • 20-200x faster • 40-400x

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Jev plays Slay the Spire 2

昨天出的 typesafe.ai Jev 模型 适合高频决策,那岂不又是适合打游戏? 之前用 GPT-6 Astra 代打杀戮尖塔2 能力强但速度慢。 我刚实测用 Jev 打,行动思考只需 0.7秒, 画面我都没看清它就操作完了。 这超人类游戏速度, 着实又让我震惊瘫坐了😅 语言很难描述这感觉,看视频⬇️

Diogo Almeida
Diogo Almeida
TypeSafe AI
@CompleteSkeptic

After co-inventing ChatGPT, I kept asking myself: why have superhuman chat models not led to AGI? I’ve spent the last 2 years in stealth building a new way to train models (RLCD), and a new type of frontier AI model that we are releasing today: Jev • 20-200x faster • 40-400x

Reply

An agent with a Jev model router

Fraud detection with Jev and Kimi K3

Jev Detector scans ~10,000 words for slop in ~2 s