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GLiNER 2.5 Decide is a compact, 340M-parameter English model optimized for schema-defined classification.

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Classification capabilities

  • Define labels at request time without retraining for every taxonomy change.
  • Run single-label classification when exactly one label should win.
  • Run multi-label classification when several labels may apply.
  • Evaluate several independently named classification tasks in one forward pass.
  • Return a selected label or labels with confidence.
  • Use cls_threshold to control selection in multi-label tasks.
  • Use a catalog-default classification task when both schema and response_format are omitted.
Common workloads include intent, routing, sentiment, priority, moderation, tags, operational gates, and custom text taxonomies.

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Schema limits

  • Every task requires at least one label.
  • labels must be an array of strings.
  • Label-description objects are not supported.
  • A classification task accepts only task, labels, multi_label, cls_threshold, and top_k.
  • top_k is accepted but currently has no effect.
  • cls_threshold affects multi-label selection only.
  • Single-label tasks always return the highest-scoring label.

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Decision limits

  • Classic classification labels are unordered. Label order does not create an ordinal scale.
  • Tasks in the same request are independent.
  • Classic classification does not enforce implications, exclusions, cardinality relationships, or ordinal bounds between tasks.
  • Decide does not generate explanations, conversations, or open-ended text.
Use GLiNER 2.5 Multi when extraction, multilingual coverage, label descriptions, or constrained relationships between tasks are primary requirements. Use GLiDE Score when your application needs an explicitly ordered rubric.

Classification

Define labels and tasks, then consume their result shapes.

Evaluate and train

Measure quality, tune thresholds, and adapt the model for your domain.