Mistral-7B-instruct-v0.2-summ-sft-e1 [bfloat16] [Adapter] [rev: cb20f22f4210]: benchmark results
Provider: Mistral. Access: Open.
Aggregate Rating 1396 ± 33, rank #6286 of 10916 rated models, from 6 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| Open LLM Leaderboard v1 - TruthfulQA MC2 | 64.98 | MC2 (%) (0-shot) | 82.9 |
| Open LLM Leaderboard v1 - HellaSwag | 83.37 | Normalized accuracy (%) (10-shot) | 58.1 |
| Open LLM Leaderboard v1 - GSM8K | 40.41 | Accuracy (%) (5-shot) | 55.7 |
| Open LLM Leaderboard v1 - WinoGrande | 77.03 | Accuracy (%) (5-shot) | 52.7 |
| Open LLM Leaderboard v1 - MMLU | 60.86 | Accuracy (%) (5-shot) | 50 |
| Open LLM Leaderboard v1 - ARC Challenge | 60.84 | Normalized accuracy (%) (25-shot) | 49.8 |
Interactive version: theaggregate.ai/model?slug=mistral-7b-instruct-v0-2-summ-sft-e1-bfloat16-adapter-rev-cb20f22f4210 · How It Works · Data refreshed daily, snapshot 2026-11-08.