obie/ruby_decision_model

Probabilistic conditionals for Ruby: Feelings(message).like?("genuinely urgent")

The open, local take on Jev: typed decisions from an LLM, without generating a single token

Ruby AI eXtensions

Open, calibrated System 1 decision models: typed choice / score / yes-no answers with a probability for every option. 400M to 80B; CPU, NVIDIA, Apple Silicon, LM Studio, Ollama and vLLM.

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.

Turn any LLM into a Jev-style decision model: typed decisions, real probabilities, no training. (continue updating, welcome any issue and PR request)

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

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

Build LLM-powered applications in Ruby