Mistral / MODEL EVIDENCE
3 benchmarks · 6 observations · 3 sources
3 benchmarks · large dot: Mistral-7B-Instruct-v0.3; small dots: closest models where reported
Mistral-7B-Instruct-v0.3 · HalluLens · PreciseWikiQA correct answers · three-trial mean ↗
94.74% · Mistral-7B-Instruct-v0.3 · HalluLens · MixedEntities false acceptance · fabricated-entity acceptance · HalluLens: LLM Hallucination Benchmark ↗
Mistral-7B-Instruct-v0.3 · RepoQA & LongCodeArena · RepoQA retrieval accuracy · similarity threshold 0.8 ↗
Mistral-7B-Instruct-v0.3 · Putnam-AXIOM · Original · problem accuracy · original questions ↗
2% · Mistral-7B-Instruct-v0.3 · Putnam-AXIOM · Functional variation · accuracy · five-trial robustness comparison · Putnam-AXIOM: A Functional and Static Benchmark for Measuring Higher Level Mathematical Reasoning in LLMs ↗
8% · Mistral-7B-Instruct-v0.3 · Putnam-AXIOM · Matched original subset · accuracy · five-trial robustness comparison · Putnam-AXIOM: A Functional and Static Benchmark for Measuring Higher Level Mathematical Reasoning in LLMs ↗
Similar positions on shared benchmark leaderboards. Smaller gaps are closer.
There are not enough shared scored settings to identify close comparisons reliably.
Every plotted observation links to its evaluation. Reported configurations, benchmark versions and task subsets can differ; similarity describes shared scores, not training lift.
Jiawei Liu, Jia Le Tian, Vijay Daita, Yuxiang Wei, Yifeng Ding, Yuhan Katherine Wang, Jun Yang, Lingming Zhang
Yejin Bang, Ziwei Ji, Alan Schelten, Anthony Hartshorn, Tara Fowler, Cheng Zhang, Nicola Cancedda, Pascale Fung
Gulati, Aryan, Miranda, Brando, Chen, Eric, Xia, Emily, Fronsdal, Kai, Dumont, Bruno, Obbad, Elyas, Koyejo, Sanmi
Mistral-7B-Instruct-v0.3