Decision models should do more than pick a label. To truly act, they need to extract evidence, understand relationships, produce structured records, and keep related decisions consistent. And they should do it fast. That’s the new model we built with GLiNER2.5-Decide. Like all GLiNER models, this one is highly responsive to fine-tuning. And now you can fine-tune GLiNER models, including GLiNER2.5-Decide, directly inside your coding agent with our new API. To make building with GLiNER2.5-Decide as fast and simple as possible, we’re also offering hosted inference. Our model goes beyond typed classification. It can return character-level spans, relations, and structured records, then apply implications, exclusions, cardinality limits, and ordinal bounds across related decisions. And it does all of this very fast. On short, single-document requests: CPU latency → 167 ms (48-vCPU Intel Xeon Platinum 8581C) GPU latency → 38 to 47 ms (T4, L4, V100, A100) Run it locally, host it, or fine-tune it. Your decision. Download the weights on @huggingface: