j-geuter/Jeff

Local decision model with calibrated probabilities: send a state and yes/no, choice or score questions, get a probability for every option. 0.8B GGUF on CPU, Jev-style API.

A small open decision model: state + typed questions -> calibrated probabilities. A Jev / System One re-creation on Qwen3.5.

A family of System One-style models fine-tuned from Qwen3.5, designed for one-pass typed decisions with calibrated probabilities.

Open decision models from 0.8B to 27B: a calibrated probability for every option in one pass, and a short thought only when unsure. Engine for vLLM, llama.cpp and MLX.

Opensource Jev

Open Drex decision models: runtime, docs and model pages

Super fast Jev like server in JS, model agnostic, working with any OpenAI compatible endpoint

Jeeves – Reasoning improves Jev-like decision models

Turn local language models into Jev-style structured decision models. Get results from text and images with prefill alone—no token-by-token decoding required.