Mistral / MODEL EVIDENCE

Mistral-7B-Inst-v0.3

1 benchmarks · 3 observations · 1 sources

Scores at a glance

1 benchmarks · large dot: Mistral-7B-Inst-v0.3; small dots: closest models where reported

494.8

Mistral-7B-Inst-v0.3 · LongProc (Long Procedural Generation) · 0.5K · average task score · original evaluation ↗

2 more reported results

12.4 points · Mistral-7B-Inst-v0.3 · LongProc (Long Procedural Generation) · 2K · average task score · original evaluation · LongProc: Benchmarking Long-Context Language Models on Long Procedural Generation ↗

1.2 points · Mistral-7B-Inst-v0.3 · LongProc (Long Procedural Generation) · 8K · average task score · original evaluation · LongProc: Benchmarking Long-Context Language Models on Long Procedural Generation ↗

Closest models by score

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

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. LongProc: Benchmarking Long-Context Language Models on Long Procedural Generation — published result table ↗

    Xi Ye, Fangcong Yin, Yinghui He, Joie Zhang, Howard Yen, Tianyu Gao et al. · 2025

    All 8 authors

    Xi Ye, Fangcong Yin, Yinghui He, Joie Zhang, Howard Yen, Tianyu Gao, Greg Durrett, Danqi Chen

Names used in source tables

Mistral-7B-Inst-v0.3