Gutsy is a lightweight local decision model providing calibrated probabilities for CPU inference. Developers send a state alongside binary, choice, or score questions to receive a probability for every option using a compact 0.8B GGUF format. The tool features a Jev-style API implemented in Python, targeting use cases like autonomous agents, content moderation, and intent classification.
Opening Kapyn…