Mistral-7B-instruct-v0.2-summ-sft-bf16-e3 [Adapter]: benchmark results
Provider: Mistral. Access: Open.
Aggregate Rating 1396 ± 33, rank #6284 of 10916 rated models, from 6 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| Open LLM Leaderboard v1 - TruthfulQA MC2 | 65.22 | MC2 (%) (0-shot) | 83.4 |
| Open LLM Leaderboard v1 - HellaSwag | 83.68 | Normalized accuracy (%) (10-shot) | 60.7 |
| Open LLM Leaderboard v1 - WinoGrande | 77.82 | Accuracy (%) (5-shot) | 58.7 |
| Open LLM Leaderboard v1 - GSM8K | 39.2 | Accuracy (%) (5-shot) | 54.1 |
| Open LLM Leaderboard v1 - MMLU | 60.82 | Accuracy (%) (5-shot) | 49.9 |
| Open LLM Leaderboard v1 - ARC Challenge | 60.32 | Normalized accuracy (%) (25-shot) | 47.1 |
Interactive version: theaggregate.ai/model?slug=mistral-7b-instruct-v0-2-summ-sft-bf16-e3-adapter · How It Works · Data refreshed daily, snapshot 2026-11-08.