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

340M open-weight decision model targets agent routing and triage—runs on CPU, ships with confidence scores and constraint metadata.

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Why it matters

Fastino's GLiNER2.5-Decide addresses a real gap in agent pipelines: lightweight, CPU-deployable structured decision-making with interpretability built in. Practitioners building guardrails, routing logic, or tool-selection systems now have a measurable alternative to larger models or custom classifiers.

The key facts

11 to know
  1. Model size: 340M parameters

  2. Open-weight release

  3. CPU-deployable (no GPU required)

  4. Output: structured answers + probability distributions + confidence scores + constraint-feasibility metadata

  5. Target use: agent routing, triage, tool selection, guardrails

  6. Source: Fastino Labs via MarkTechPost

  7. 340M-parameter open-weight model

  8. Outputs: structured answers, probability distributions, confidence scores, constraint-feasibility metadata

  9. Target use cases: agent routing, triage, tool selection, guardrails

  10. Released by Fastino Labs

  11. Published September 25, 2026

Go to the source

MarkTechPostmarktechpost.com

Publisher excerpt: Fastino Labs has released GLiNER2.5-Decide, a 340M-parameter open-weight decision model. It takes text and a schema of typed questions and returns structured answers. Each answer comes with a probability distribution, a confidence score, and constraint-feasibility metadata. It targets the frequent…
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