Mistral-7B-instruct-v0.2-summ-sft-e1 [4bit] [Adapter] [rev: cb20f22f4210]: benchmark results
Provider: Mistral. Access: Open.
Aggregate Rating 1386 ± 33, rank #6663 of 10916 rated models, from 6 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| Open LLM Leaderboard v1 - TruthfulQA MC2 | 63.13 | MC2 (%) (0-shot) | 80.2 |
| Open LLM Leaderboard v1 - WinoGrande | 77.11 | Accuracy (%) (5-shot) | 53.3 |
| Open LLM Leaderboard v1 - GSM8K | 37.76 | Accuracy (%) (5-shot) | 52.8 |
| Open LLM Leaderboard v1 - HellaSwag | 82.59 | Normalized accuracy (%) (10-shot) | 52.6 |
| Open LLM Leaderboard v1 - ARC Challenge | 60.15 | Normalized accuracy (%) (25-shot) | 46.6 |
| Open LLM Leaderboard v1 - MMLU | 58.92 | Accuracy (%) (5-shot) | 44.2 |
Interactive version: theaggregate.ai/model?slug=mistral-7b-instruct-v0-2-summ-sft-e1-4bit-adapter-rev-cb20f22f4210 · How It Works · Data refreshed daily, snapshot 2026-11-08.