Mistral-7B-instruct-v0.2-summ-sft-e3 [bfloat16] [Adapter] [rev: 5b09e3dd2bf8]: benchmark results
Provider: Mistral. Access: Open.
Aggregate Rating 1397 ± 33, rank #6254 of 10916 rated models, from 6 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| Open LLM Leaderboard v1 - TruthfulQA MC2 | 64.94 | MC2 (%) (0-shot) | 82.8 |
| Open LLM Leaderboard v1 - HellaSwag | 83.72 | Normalized accuracy (%) (10-shot) | 61 |
| Open LLM Leaderboard v1 - GSM8K | 39.5 | Accuracy (%) (5-shot) | 54.5 |
| Open LLM Leaderboard v1 - WinoGrande | 76.95 | Accuracy (%) (5-shot) | 52 |
| Open LLM Leaderboard v1 - ARC Challenge | 61.18 | Normalized accuracy (%) (25-shot) | 51.6 |
| Open LLM Leaderboard v1 - MMLU | 60.93 | Accuracy (%) (5-shot) | 50.2 |
Interactive version: theaggregate.ai/model?slug=mistral-7b-instruct-v0-2-summ-sft-e3-bfloat16-adapter-rev-5b09e3dd2bf8 · How It Works · Data refreshed daily, snapshot 2026-11-08.