Mistral-7B-instruct-v0.2-private-eds2 [bfloat16] [Adapter] [rev: d4cffeadbb02]: benchmark results
Provider: Mistral.
Aggregate Rating 1462 ± 42, rank #3209 of 10916 rated models, from 6 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| Open LLM Leaderboard v1 - HellaSwag | 89.05 | Normalized accuracy (%) (10-shot) | 96.3 |
| Open LLM Leaderboard v1 - TruthfulQA MC2 | 73.88 | MC2 (%) (0-shot) | 94.6 |
| Open LLM Leaderboard v1 - ARC Challenge | 72.7 | Normalized accuracy (%) (25-shot) | 93.1 |
| Open LLM Leaderboard v1 - WinoGrande | 83.98 | Accuracy (%) (5-shot) | 91.5 |
| Open LLM Leaderboard v1 - GSM8K | 66.79 | Accuracy (%) (5-shot) | 82.5 |
| Open LLM Leaderboard v1 - MMLU | 64.21 | Accuracy (%) (5-shot) | 66.8 |
Interactive version: theaggregate.ai/model?slug=mistral-7b-instruct-v0-2-private-eds2-bfloat16-adapter-rev-d4cffeadbb02 · How It Works · Data refreshed daily, snapshot 2026-11-08.