Mistral-7B-instruct-v0.2-summ-sft-ed2 [Adapter]: benchmark results
Provider: Mistral. Access: Open.
Aggregate Rating 1455 ± 39, rank #3529 of 10916 rated models, from 6 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| Open LLM Leaderboard v1 - GSM8K | 71.19 | Accuracy (%) (5-shot) | 95.4 |
| Open LLM Leaderboard v1 - ARC Challenge | 71.42 | Normalized accuracy (%) (25-shot) | 89.2 |
| Open LLM Leaderboard v1 - HellaSwag | 87.42 | Normalized accuracy (%) (10-shot) | 86.1 |
| Open LLM Leaderboard v1 - WinoGrande | 82.87 | Accuracy (%) (5-shot) | 86 |
| Open LLM Leaderboard v1 - TruthfulQA MC2 | 64.49 | MC2 (%) (0-shot) | 82.3 |
| Open LLM Leaderboard v1 - MMLU | 64.32 | Accuracy (%) (5-shot) | 68.2 |
Interactive version: theaggregate.ai/model?slug=mistral-7b-instruct-v0-2-summ-sft-ed2-adapter · How It Works · Data refreshed daily, snapshot 2026-11-08.