Mistral-7B-Instruct-v0.2-attention-sparsity-30: benchmark results
Provider: Mistral.
Aggregate Rating 1401 ± 34, rank #6047 of 10916 rated models, from 6 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| Open LLM Leaderboard v1 - TruthfulQA MC2 | 67.49 | MC2 (%) (0-shot) | 86 |
| Open LLM Leaderboard v1 - HellaSwag | 84.71 | Normalized accuracy (%) (10-shot) | 67.9 |
| Open LLM Leaderboard v1 - ARC Challenge | 62.97 | Normalized accuracy (%) (25-shot) | 60.6 |
| Open LLM Leaderboard v1 - WinoGrande | 77.98 | Accuracy (%) (5-shot) | 59.9 |
| Open LLM Leaderboard v1 - GSM8K | 39.42 | Accuracy (%) (5-shot) | 54.4 |
| Open LLM Leaderboard v1 - MMLU | 60.49 | Accuracy (%) (5-shot) | 48.4 |
Interactive version: theaggregate.ai/model?slug=mistral-7b-instruct-v0-2-attention-sparsity-30 · How It Works · Data refreshed daily, snapshot 2026-11-08.