Mistral-7B-Instruct-v0.2-attention-sparsity-20: benchmark results
Provider: Mistral. Access: Open.
Aggregate Rating 1402 ± 34, rank #5968 of 10916 rated models, from 6 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| Open LLM Leaderboard v1 - TruthfulQA MC2 | 68.26 | MC2 (%) (0-shot) | 87.4 |
| Open LLM Leaderboard v1 - HellaSwag | 84.84 | Normalized accuracy (%) (10-shot) | 69.2 |
| Open LLM Leaderboard v1 - ARC Challenge | 62.88 | Normalized accuracy (%) (25-shot) | 60.2 |
| Open LLM Leaderboard v1 - WinoGrande | 77.9 | Accuracy (%) (5-shot) | 59.3 |
| Open LLM Leaderboard v1 - GSM8K | 39.73 | Accuracy (%) (5-shot) | 54.8 |
| Open LLM Leaderboard v1 - MMLU | 60.81 | Accuracy (%) (5-shot) | 49.8 |
Interactive version: theaggregate.ai/model?slug=mistral-7b-instruct-v0-2-attention-sparsity-20 · How It Works · Data refreshed daily, snapshot 2026-11-08.