Mistral-7B-instruct-v0.2-summ-sft-e3 [4bit] [Adapter] [rev: 5b09e3dd2bf8]: benchmark results
Provider: Mistral. Access: Open.
Aggregate Rating 1387 ± 33, rank #6649 of 10916 rated models, from 6 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| Open LLM Leaderboard v1 - TruthfulQA MC2 | 63 | MC2 (%) (0-shot) | 80 |
| Open LLM Leaderboard v1 - HellaSwag | 82.76 | Normalized accuracy (%) (10-shot) | 53.6 |
| Open LLM Leaderboard v1 - GSM8K | 37.38 | Accuracy (%) (5-shot) | 52.5 |
| Open LLM Leaderboard v1 - WinoGrande | 76.24 | Accuracy (%) (5-shot) | 47 |
| Open LLM Leaderboard v1 - ARC Challenge | 59.98 | Normalized accuracy (%) (25-shot) | 45.8 |
| Open LLM Leaderboard v1 - MMLU | 59.48 | Accuracy (%) (5-shot) | 45.2 |
Interactive version: theaggregate.ai/model?slug=mistral-7b-instruct-v0-2-summ-sft-e3-4bit-adapter-rev-5b09e3dd2bf8 · How It Works · Data refreshed daily, snapshot 2026-11-08.