Mistral-7B-summ-ia3-tuned [Adapter]: benchmark results
Provider: Mistral. Access: Open.
Aggregate Rating 1387 ± 34, rank #6630 of 10916 rated models, from 6 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| Open LLM Leaderboard v1 - TruthfulQA MC2 | 68.6 | MC2 (%) (0-shot) | 87.8 |
| Open LLM Leaderboard v1 - HellaSwag | 84.71 | Normalized accuracy (%) (10-shot) | 67.9 |
| Open LLM Leaderboard v1 - WinoGrande | 76.72 | Accuracy (%) (5-shot) | 50.1 |
| Open LLM Leaderboard v1 - GSM8K | 33.59 | Accuracy (%) (5-shot) | 49.6 |
| Open LLM Leaderboard v1 - MMLU | 59.48 | Accuracy (%) (5-shot) | 45.2 |
| Open LLM Leaderboard v1 - ARC Challenge | 59.64 | Normalized accuracy (%) (25-shot) | 44.3 |
Interactive version: theaggregate.ai/model?slug=mistral-7b-summ-ia3-tuned-adapter · How It Works · Data refreshed daily, snapshot 2026-11-08.