Open decision models and reproductions with decision models

Pre-action gate and browser agent where rules decide first, then Jev or a local Jev-compatible model, emitting allow, confirm or block.

Open Jev-class decision models on Qwen3.5 with candidate-logit readout; the 4B model reports 80.1% on JevBench's 231 items.

OEV: 184M-parameter decision engine that scores options in one pass, reporting 0.7705 on typed-decisions and 22 ms per question.

Open System-1 (OpenJev): Apache-2.0 research models giving calibrated per-option probabilities, best is a 4.9B exp9a.

Reads typed decisions from one forward pass of PrismML's 1.75-bit Bonsai 27B under llama.cpp, using the OpenJev/SemIf logit method.

From-first-principles PyTorch reconstruction of a Jev-like architecture with typed noul, choice and score heads; random weights only.

Open JEV: local bilingual (English/Chinese) choice and binary decisions read from a frozen Qwen3-4B's next-token label distribution.

Independent reproduction of Jev-style decision-model post-training on MiniCPM5-2B with LoRA, a sealed holdout and stated limits.

Laptop-scale reimplementation of RL for Calibrated Decisions: parallel constrained decoding trained with GRPO and a Brier reward.

2B decision model for robots specialised in physical judgment, returning calibrated probabilities for questions like 'will the glass tip?'

Jev-class decision server on an RWKV-7 1B checkpoint that reads typed answers from a constrained softmax behind /v1/systemone.

Open Jev replica on Gemma 4 E2B and Gemma 3 270M served on Modal, with eight demos and a TypeSafe eval head-to-head.

Lightweight reproduction of the Jev shape on a ModernBERT encoder and a diffusion LLM, comparing speed, accuracy, calibration and cost.

Standalone Jev-class emotion model: one pass over a message sequence returns calibrated PAD scores, an emotion family and yes/no judgments.

Open project training a vision-enabled Jev-like model (0.8B, 9B) that judges dynamic candidate sets over images with Choice, Noul and Score.

Rust binary marketed as an offline drop-in for Jev, claiming under 18 ms CPU decisions with an identical REST API.

Auto-generated write-up of a Reddit post claiming an open RLCD-trained Jev model; content is generic and largely inaccurate.

Open-source, self-hosted System One decision engine (NotJev : Kev) with a Jev-style API on top of Ollama or any OpenAI-compatible model.

Go CLI and MCP connector exposing an evaluate tool for Jev and other System One models to Claude Code, Claude Desktop, Codex, Hermes and pi.

Vendor-neutral async Rust SDK for System One decision models with derive-based question sets and one multiplexed HTTP/2 connection.

Run System One-style typed decisions on any Hugging Face instruct model, with a typesafe-sdk-compatible server and calibration tools.

LangGraph dental-clinic agent where a local Jev-style router picks which tools to bind each turn, halving LLM token use.

Research preview: Python client and pinned adapters for running System One decision models on your own Modal GPUs.

Learning project that builds choose-an-answer decision models from scratch and from Qwen, with downloadable 0.8B and 4B releases.

Jev-inspired PyTorch research framework that encodes an overnight sleep recording once and answers many Choice, Noul and Score questions.

Ollama-style single binary that pulls and runs open decision models locally, with a TypeSafe-compatible API and playground.

LM Studio-style desktop app and local server for open Jev-like decision models, with a playground, templates, API and LoRA training.

Local, deterministic Rust decision engine reading single-letter answer logits from one llama.cpp pass, wire-compatible with Jev.

Self-hosted Jev-compatible /v1/systemone server using an encoder with decision heads for parallel noul, choice and score answers.

Runs the open LAYA decision model under Bun with native ONNX inference behind a TypeSafe-compatible API, plus an English/Persian playground.