mistral-7B-forest-merge-v0.1: benchmark results
Provider: Mistral.
Aggregate Rating 1400 ± 34, rank #6125 of 10916 rated models, from 6 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| Open LLM Leaderboard v1 - TruthfulQA MC2 | 58.53 | MC2 (%) (0-shot) | 72.3 |
| Open LLM Leaderboard v1 - HellaSwag | 84.32 | Normalized accuracy (%) (10-shot) | 65.4 |
| Open LLM Leaderboard v1 - GSM8K | 49.96 | Accuracy (%) (5-shot) | 62.5 |
| Open LLM Leaderboard v1 - ARC Challenge | 62.8 | Normalized accuracy (%) (25-shot) | 59.8 |
| Open LLM Leaderboard v1 - WinoGrande | 77.19 | Accuracy (%) (5-shot) | 53.9 |
| Open LLM Leaderboard v1 - MMLU | 60.05 | Accuracy (%) (5-shot) | 46.7 |
Interactive version: theaggregate.ai/model?slug=mistral-7b-forest-merge-v0-1 · How It Works · Data refreshed daily, snapshot 2026-11-08.