Tev1-4B is Together AI's Qwen3.5-4B decision experiment. It reads 2 to 24 lettered options and generates its answer as one letter.
By Together AI · Released 23 Sep 2026
Together's Jev-inspired experiment: a Qwen3.5-4B fine-tune that reads a state, a question and 2 to 24 lettered options. Together says plainly it is not a non-autoregressive runtime like Jev: it keeps a standard next-token head and generates its answer as one letter.
Source: Hugging Face → Source: GitHub → Source: Announcement → Source: Untuned 4B baseline test →
Routes support messages through regex, then a small classifier, then decision models, then an LLM as a last resort, all running locally. Laya answers the guardrail and department questions, and Tev1 is the default for the next tier.
A one-file browser Pacman where the open directions at each step become the options in a single question to a local Tev1 model through Ollama's decision endpoint.
A Thunderbird extension that tags your email with decision models served by Ollama's /v1/systemone endpoint, such as Tev1 0.8B, Tev1 4B or Nimble, and keeps learning from the tags you add by hand.