Jev System One

Open infrastructure from the SimpleJev project for training, evaluating and deploying System 1 decision models across language and multimodal backbones: one API takes a state, question and candidate options and returns a choice with probabilities.

A fork of Ollama that adds POST /v1/systemone: the endpoint is forwarded to a custom llama-server from nace-ai/llama.cpp on the edlm branch, which serves Drex DLM. The fork is MIT licensed and Go-based like upstream Ollama.

A self-contained playground for evaluating structured judgment requests against LLM providers: validate a SystemOneRequest, run it through an emulator, a JEV baseline via typesafe.ai and an OpenAI-compatible judge, then compare results on three web screens.

A CLIProxyAPI plugin that routes System One decision requests to any compatible node, a local model server such as Winnow 12B or hosted lanes like OpenCode, OpenRouter and v1m, chosen by model prefix, with a management UI.

A deterministic gridworld that benchmarks System One decision backends, typed calibrated decisions over a declared option set with one forward pass and no decoding, in a sequential loop, with a scripted oracle scoring agreement without labels.

An HTML repository whose GitHub description calls it the SystemOne Blueprint — a plan for turning any LLM into a fast, calibrated decision engine. No README, topics or license were captured in the round-eleven sweep, so the method behind it cannot be inspected.

An Apache-2.0 repository announced as 'the open service for system one models'. The digest captures only that one-line README and description, so endpoints, language and usage stay undocumented; it was created and last pushed the same day with 0 stars.

A Chinese-language summary of the Latent Space interview with TypeSafe CEO Diogo Almeida, framing Jev as a production System One model rather than a general God model: parallel sampling, 70–500 ms latency, and $0.042 per million input tokens.

A System One model family for video: VideoJev-4B and VideoJev-35B-A3B perform temporal grounding and multiple-choice video QA by scoring candidates directly, returning probabilities instead of generated text.

An Ollama-style local runner for System One decision models from Hugging Face: pull, serve and query them behind the same /v1/systemone API as TypeSafe's Jev, with a terminal model manager and a browser playground.

The Go server, agent CLI and MCP for Laya - open horizontal System 1 decision models that score structured features and return ranked pattern probabilities instead of text. It ships a JEV compatibility API and a migration guide.

Mapika's open decision model is a 1.9B Qwen3.5-2B fine-tune that returns a probability for every option of every typed question in one forward pass, with no generated text. v11 adds a rank-64 LoRA stage and reports 0.577 on the JevBench public hard tier, up from v10's 0.459.

Real human-labeled data reformatted into System One questions: 22 configs, 166,054 rows and 22,773 test records where choice, score and noul answers are scored as probability distributions.

Open decision models from a self-improvement loop that publishes every experiment, failures included. They answer Noul, Choice and Score questions on the same POST /v1/systemone wire format as Jev, returning a calibrated probability per option in one forward pass; the 27B scores 65.64 on the Decision Index 0.3 set.