Mistral-7B-Instruct-v0.2-sparsity-30-v0.1: benchmark results
Provider: Mistral. Access: Open.
Aggregate Rating 1401 ± 34, rank #6066 of 10916 rated models, from 6 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| Open LLM Leaderboard v1 - TruthfulQA MC2 | 66.28 | MC2 (%) (0-shot) | 84.7 |
| Open LLM Leaderboard v1 - HellaSwag | 84.37 | Normalized accuracy (%) (10-shot) | 65.7 |
| Open LLM Leaderboard v1 - ARC Challenge | 63.31 | Normalized accuracy (%) (25-shot) | 62.2 |
| Open LLM Leaderboard v1 - WinoGrande | 78.06 | Accuracy (%) (5-shot) | 60.4 |
| Open LLM Leaderboard v1 - GSM8K | 39.42 | Accuracy (%) (5-shot) | 54.4 |
| Open LLM Leaderboard v1 - MMLU | 60.24 | Accuracy (%) (5-shot) | 47.3 |
Interactive version: theaggregate.ai/model?slug=mistral-7b-instruct-v0-2-sparsity-30-v0-1 · How It Works · Data refreshed daily, snapshot 2026-11-08.