Knowledge Share

One Open Source Project a Day (No. 225): NanoJev — A 0.6B Parallel Decision Model That Outputs Probability Distributions Instead of Generating Tokens

NanoJev is a lightweight recreation of the "Jev" parallel decision model system. Built on a Qwen3-0.6B backbone with dedicated decision heads, it takes states and questions as input and outputs complete probability distributions directly — with zero output-token decoding. It supports three decision head types (dynamic choice, boolean, ordered score) and has been validated on maze navigation and Snake game benchmarks. 954 Stars, MIT License.