Mistral-7B-instruct-v0.2-summ-sft-e2 [bfloat16] [Adapter] [rev: 01a73ccd10a2]: benchmark results
Provider: Mistral. Access: Open.
Aggregate Rating 1398 ± 33, rank #6226 of 10916 rated models, from 6 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| Open LLM Leaderboard v1 - TruthfulQA MC2 | 64.92 | MC2 (%) (0-shot) | 82.8 |
| Open LLM Leaderboard v1 - HellaSwag | 83.64 | Normalized accuracy (%) (10-shot) | 60.3 |
| Open LLM Leaderboard v1 - GSM8K | 40.26 | Accuracy (%) (5-shot) | 55.5 |
| Open LLM Leaderboard v1 - ARC Challenge | 61.43 | Normalized accuracy (%) (25-shot) | 52.8 |
| Open LLM Leaderboard v1 - MMLU | 61.03 | Accuracy (%) (5-shot) | 50.6 |
| Open LLM Leaderboard v1 - WinoGrande | 76.72 | Accuracy (%) (5-shot) | 50.1 |
Interactive version: theaggregate.ai/model?slug=mistral-7b-instruct-v0-2-summ-sft-e2-bfloat16-adapter-rev-01a73ccd10a2 · How It Works · Data refreshed daily, snapshot 2026-11-08.