
The Stack
Fastino's 340M decision model beats its own 1B on routing
Most agent stacks answer a yes/no question by having a large model write a paragraph. Fastino's answer is to not ask a large model at all — and its new release is small enough to run on the CPU you already have. Fastino shipped GLiNER2.5-Decide, a 340M-parameter classifier that takes a bounded question — intent, routing, sentiment, severity, spam — and returns a label in a single forward pass, with no prompt template and no generated tokens. It is Apache 2.0, built on a DeBERTa-v3-large encoder










