Fewshot-Metamath-Mistral: benchmark results
Provider: Other.
Aggregate Rating 1376 ± 35, rank #6963 of 10916 rated models, from 6 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| Open LLM Leaderboard v1 - GSM8K | 68.31 | Accuracy (%) (5-shot) | 85.7 |
| Open LLM Leaderboard v1 - WinoGrande | 76.01 | Accuracy (%) (5-shot) | 45.4 |
| Open LLM Leaderboard v1 - MMLU | 58.05 | Accuracy (%) (5-shot) | 42.5 |
| Open LLM Leaderboard v1 - HellaSwag | 80.59 | Normalized accuracy (%) (10-shot) | 41.5 |
| Open LLM Leaderboard v1 - ARC Challenge | 57.76 | Normalized accuracy (%) (25-shot) | 38.2 |
| Open LLM Leaderboard v1 - TruthfulQA MC2 | 43.04 | MC2 (%) (0-shot) | 22.3 |
Interactive version: theaggregate.ai/model?slug=fewshot-metamath-mistral · How It Works · Data refreshed daily, snapshot 2026-11-08.