Mistral / MODEL EVIDENCE

MathScale Mistral

1 benchmarks · 1 observations · 1 sources

Scores at a glance

1 benchmarks · large dot: MathScale Mistral; small dots: closest models where reported

1.224.4

MathScale Mistral · CollegeMath · CollegeMath accuracy · MathScale paper · MwpBench evaluation ↗

Closest models by score

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

GPT-4 →OpenAI
7.7 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. MathScale: Scaling Instruction Tuning for Mathematical Reasoning — published result table ↗

    Zhengyang Tang, Xingxing Zhang, Benyou Wang, Furu Wei · 2024

Names used in source tables

MathScale Mistral