togethercomputer/tev1

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

Training Jev-like decision models using Qwen3 with choice-order invariance

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.

A curated list of decision models (System One / typed decision models): hosted APIs, open-weight models, runtimes, SDKs, applications, benchmarks, and papers.

Jev-like family of decision models built on top of Qwen3.5/3.8 you can train and run on your own

OpenSource Jev

Open infrastructure for training, evaluating, and deploying System 1 decision models across language and multimodal backbones.

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.

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