Mistral-7B-instruct-v0.2-private-edw2 [float16] [Adapter] [rev: d4cffeadbb02]: benchmark results
Provider: Mistral. Access: Open.
Aggregate Rating 1449 ± 37, rank #3808 of 10916 rated models, from 6 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| Open LLM Leaderboard v1 - GSM8K | 72.25 | Accuracy (%) (5-shot) | 97.5 |
| Open LLM Leaderboard v1 - HellaSwag | 87.32 | Normalized accuracy (%) (10-shot) | 85.5 |
| Open LLM Leaderboard v1 - ARC Challenge | 69.8 | Normalized accuracy (%) (25-shot) | 84.3 |
| Open LLM Leaderboard v1 - TruthfulQA MC2 | 63.83 | MC2 (%) (0-shot) | 81.2 |
| Open LLM Leaderboard v1 - MMLU | 64.9 | Accuracy (%) (5-shot) | 78.2 |
| Open LLM Leaderboard v1 - WinoGrande | 80.9 | Accuracy (%) (5-shot) | 76.2 |
Interactive version: theaggregate.ai/model?slug=mistral-7b-instruct-v0-2-private-edw2-float16-adapter-rev-d4cffeadbb02 · How It Works · Data refreshed daily, snapshot 2026-11-08.