Microsoft / MODEL EVIDENCE

Phi-3-small 7b*

1 benchmarks · 1 observations · 1 sources

Scores at a glance

1 benchmarks · large dot: Phi-3-small 7b*; small dots: closest models where reported

29.862.3

Phi-3-small 7b* · AGIEval · Accuracy · All · zero-shot ↗

Closest models by score

Similar positions on shared benchmark leaderboards. Smaller gaps are closer.

7.7 percentile-point gap

1 of 1 shared benchmark comparisons

15.4 percentile-point gap

1 of 1 shared benchmark comparisons

How similarity is measured

Mean absolute gap in percentile positions on shared benchmark settings; lower is closer. At least 60% overlap is required, with a minimum of three when available. Independent evaluations are used when there are at least three; otherwise published report comparisons are used. Repeated model observations within one setting are averaged before ranking. Writing-style traits and composite indices are excluded. This describes similarity, not an overall quality ranking.

Sources

Every plotted observation links to its evaluation. Reported configurations, benchmark versions and task subsets can differ; similarity describes shared scores, not training lift.

  1. AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models — published result table ↗

    Wanjun Zhong, Ruixiang Cui, Yiduo Guo, Yaobo Liang, Shuai Lu, Yanlin Wang et al. · 2023

    All 9 authors

    Wanjun Zhong, Ruixiang Cui, Yiduo Guo, Yaobo Liang, Shuai Lu, Yanlin Wang, Amin Saied, Weizhu Chen, Nan Duan

Names used in source tables

Phi-3-small 7b*