Mistral-7B-instruct-v0.2-summ-sft-bf16-e2 [Adapter]: benchmark results
Provider: Mistral. Access: Open.
Aggregate Rating 1396 ± 33, rank #6277 of 10916 rated models, from 6 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| Open LLM Leaderboard v1 - TruthfulQA MC2 | 65.1 | MC2 (%) (0-shot) | 83 |
| Open LLM Leaderboard v1 - HellaSwag | 83.55 | Normalized accuracy (%) (10-shot) | 59.6 |
| Open LLM Leaderboard v1 - WinoGrande | 77.58 | Accuracy (%) (5-shot) | 57 |
| Open LLM Leaderboard v1 - GSM8K | 39.42 | Accuracy (%) (5-shot) | 54.4 |
| Open LLM Leaderboard v1 - MMLU | 60.81 | Accuracy (%) (5-shot) | 49.8 |
| Open LLM Leaderboard v1 - ARC Challenge | 60.67 | Normalized accuracy (%) (25-shot) | 48.9 |
Interactive version: theaggregate.ai/model?slug=mistral-7b-instruct-v0-2-summ-sft-bf16-e2-adapter · How It Works · Data refreshed daily, snapshot 2026-11-08.