Mistral-7B-Instruct-v0.2-sparsity-30: benchmark results
Provider: Mistral.
Aggregate Rating 1294 ± 33, rank #8820 of 10916 rated models, from 6 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| Open LLM Leaderboard v1 - GSM8K | 10.54 | Accuracy (%) (5-shot) | 31.5 |
| Open LLM Leaderboard v1 - TruthfulQA MC2 | 45.53 | MC2 (%) (0-shot) | 31.2 |
| Open LLM Leaderboard v1 - HellaSwag | 75.72 | Normalized accuracy (%) (10-shot) | 27.2 |
| Open LLM Leaderboard v1 - ARC Challenge | 51.11 | Normalized accuracy (%) (25-shot) | 25.5 |
| Open LLM Leaderboard v1 - MMLU | 46.54 | Accuracy (%) (5-shot) | 25 |
| Open LLM Leaderboard v1 - WinoGrande | 68.98 | Accuracy (%) (5-shot) | 23.1 |
Interactive version: theaggregate.ai/model?slug=mistral-7b-instruct-v0-2-sparsity-30 · How It Works · Data refreshed daily, snapshot 2026-11-08.