Mistral-7B-instruct-v0.2-summ-sft-e2m: benchmark results
Provider: Mistral. Access: Open.
Aggregate Rating 1391 ± 33, rank #6482 of 10916 rated models, from 6 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| Open LLM Leaderboard v1 - TruthfulQA MC2 | 63.78 | MC2 (%) (0-shot) | 81.1 |
| Open LLM Leaderboard v1 - HellaSwag | 83.34 | Normalized accuracy (%) (10-shot) | 58 |
| Open LLM Leaderboard v1 - GSM8K | 39.58 | Accuracy (%) (5-shot) | 54.6 |
| Open LLM Leaderboard v1 - MMLU | 60.53 | Accuracy (%) (5-shot) | 48.6 |
| Open LLM Leaderboard v1 - WinoGrande | 76.48 | Accuracy (%) (5-shot) | 48.5 |
| Open LLM Leaderboard v1 - ARC Challenge | 59.47 | Normalized accuracy (%) (25-shot) | 43.5 |
Interactive version: theaggregate.ai/model?slug=mistral-7b-instruct-v0-2-summ-sft-e2m · How It Works · Data refreshed daily, snapshot 2026-11-08.