mistral-7B-forest-merge [float16] [rev: dea087d73edf]: benchmark results
Provider: Mistral.
Aggregate Rating 1401 ± 34, rank #6044 of 10916 rated models, from 6 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| Open LLM Leaderboard v1 - TruthfulQA MC2 | 57.57 | MC2 (%) (0-shot) | 70.3 |
| Open LLM Leaderboard v1 - HellaSwag | 84.38 | Normalized accuracy (%) (10-shot) | 65.7 |
| Open LLM Leaderboard v1 - GSM8K | 50.57 | Accuracy (%) (5-shot) | 62.9 |
| Open LLM Leaderboard v1 - ARC Challenge | 63.4 | Normalized accuracy (%) (25-shot) | 62.6 |
| Open LLM Leaderboard v1 - WinoGrande | 77.51 | Accuracy (%) (5-shot) | 56.4 |
| Open LLM Leaderboard v1 - MMLU | 60.08 | Accuracy (%) (5-shot) | 46.8 |
Interactive version: theaggregate.ai/model?slug=mistral-7b-forest-merge-float16-rev-dea087d73edf · How It Works · Data refreshed daily, snapshot 2026-11-08.