Calibrated 151M Non-Autoregressive Decision Engine beating TypeSafe Jev & Laya on LocalLLaMA/typed-decisions (77.10% acc, 0.0636 Brier, 0.0144 ECE)
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Updated
Sep 20, 2026 - Python
Calibrated 151M Non-Autoregressive Decision Engine beating TypeSafe Jev & Laya on LocalLLaMA/typed-decisions (77.10% acc, 0.0636 Brier, 0.0144 ECE)
🚀🚀 A 0.8B JEV-like multimodal model playing GUI games directly from raw pixels.
Super fast Jev like server, model agnostic, working with any OpenAI compatible endpoint
OpenJev: an independent Jev-inspired System One decision API based on TypeSafe.ai concepts. Choice, score and noul primitives, local mock server, Python and TypeScript SDKs. Real inference planned; not affiliated with TypeSafe AI.
Local multimodal decisions on your Mac. Jev-compatible typed probabilities with Qwen, llama.cpp and Metal.
Local multimodal decisions on your Mac. Jev-compatible typed probabilities with Qwen, llama.cpp and Metal.
MCP server exposing TypeSafe's Jev through the public OpenJEV API. Send one shared context and several independent questions; get typed judgments and probabilities back — choice, score, or yes/no — not prose. Built for DeepSeek Harness; runs unchanged in any MCP client.
Sub-10ms calibrated semantic decision engine & runtime for edge, embodied control, agent simulation, and typed dynamic workflows.
A .NET client library for the [TypeSafe AI](https://typesafe.ai) System One API (`https://api.typesafe.ai`).
Jev (System One decision model) plugin suite for DeepSeek Harness (dsh)
IntentFlags — semantic feature flags for websites, powered by Jev. Infers what a visitor is trying to do and hands it to your React code as a flag.
When and Where Actually to use Jev in your code base.
Typed decisions for AI agents as an MCP tool: yes/no probability (noul), choice, and score in one fast request. Backed by the TypeSafe System One model.
Paseo plugin that routes each message to a persona on Codex, Claude, OpenCode, or any other installed provider.
Adding SystemOne APIs like Typesafe Jev to home assistant
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