GLiNER2.5-Decide
Fastino released GLiNER2.5-Decide on Sept 24: a 340M non-generative open-weight decision model for routing, triage, tool selection, moderation, and guardrails, with label sets supplied at call time.
Why it matters
Runs on CPU at 340M parameters while scoring 60.2% exact match on its benchmark versus JevK5 at 57.6% and Laya Router at 46.6%: a practical classifier-router for agent orchestration without an LLM call.
What you could build with it
Use GLiNER2.5-Decide as the triage classifier in the X triage pipeline: route incoming DMs and timeline items to draft/auto-skip categories at call-time without LLM spend.
Does it hold up?
Immediately usable: HF model card documents usage, CPU-friendly size, label sets defined at call time.
Built with GLiNER2.5-Decide
- fastino-ai/GLiNER2github · 2,176 ★ · Main GLiNER2 project repo with training and inference code; the Decide checkpoint is new as of 2026-09-24.
Learn more
MarkTechPost: Fastino releases GLiNER2.5-Decide →
First spotted on huggingface: source.
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