Fastino Releases GLiNER2.5-Decide: A 340M Open-Weight Decision Model That Runs on CPU

Fastino has released GLiNER2.5-Decide, a 340 million parameter open-weight model specifically designed for structured decision-making tasks that runs efficiently on CPU without requiring a GPU. The model targets classification, routing, and conditional logic tasks in agent pipelines — areas where large models are often overkill and latency or cost is a concern. For developers building multi-agent systems or serverless AI workflows, a CPU-native decision model is a meaningful infrastructure option that reduces compute costs for high-frequency routing decisions. The open-weight nature of the release means it can be fine-tuned or deployed on-premise without API dependencies. This positions GLiNER2.5-Decide as a practical tool for the growing class of developers who need lightweight, deterministic decision nodes in otherwise large-model pipelines.