DolphinMini-Mistral-7B: benchmark results
Provider: Cognitive Computations.
Aggregate Rating 1398 ± 35, rank #6194 of 10916 rated models, from 6 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| Open LLM Leaderboard v1 - WinoGrande | 79.32 | Accuracy (%) (5-shot) | 68.6 |
| Open LLM Leaderboard v1 - HellaSwag | 84.25 | Normalized accuracy (%) (10-shot) | 64.9 |
| Open LLM Leaderboard v1 - TruthfulQA MC2 | 52.34 | MC2 (%) (0-shot) | 55.5 |
| Open LLM Leaderboard v1 - MMLU | 61.94 | Accuracy (%) (5-shot) | 53.4 |
| Open LLM Leaderboard v1 - ARC Challenge | 61.18 | Normalized accuracy (%) (25-shot) | 51.6 |
| Open LLM Leaderboard v1 - GSM8K | 0.15 | Accuracy (%) (5-shot) | 10.1 |
Interactive version: theaggregate.ai/model?slug=dolphinmini-mistral-7b · How It Works · Data refreshed daily, snapshot 2026-11-08.