The model selects among supplied options and returns a probability distribution. It stands out on tool selection and intent classification, but is weaker on open-ended reasoning and some other tests.
The Apache-2.0-licensed model uses BF16 weights. Application-specific calibration is needed before its scores influence consequential decisions.
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It offers an interface for fixed-choice routing and classification systems, though the reported benchmark score is not independent verification.
شيء لتجربته
For a hypothetical prototype, plan how to evaluate its probability distribution against an existing classifier on a limited label set.





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