Llama 2 70B Ensemble V7: benchmark results
Provider: Meta.
Aggregate Rating 1420 ± 20, rank #5170 of 10916 rated models, from 62 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| MMLU-by-task - Elementary Mathematics | 48.15 | Accuracy (%) | 99.8 |
| MMLU-by-task - High School Geography | 89.39 | Accuracy (%) | 99.3 |
| MMLU-by-task - High School European History | 85.45 | Accuracy (%) | 99.2 |
| MMLU-by-task - TruthfulQA MC2 | 63.1 | Accuracy (%) | 98.9 |
| MMLU-by-task - ARC Challenge | 67.49 | Accuracy (%) | 98.6 |
| MMLU-by-task - TruthfulQA MC1 | 44.19 | Accuracy (%) | 98.4 |
| MMLU-by-task - Moral Scenarios | 59.11 | Accuracy (%) | 98.2 |
| MMLU-by-task - Business Ethics | 75 | Accuracy (%) | 97.9 |
| MMLU-by-task - Anatomy | 63.7 | Accuracy (%) | 97.8 |
| MMLU-by-task - College Chemistry | 50 | Accuracy (%) | 97.4 |
| MMLU-by-task - Clinical Knowledge | 72.83 | Accuracy (%) | 97.2 |
| MMLU-by-task - High School World History | 88.19 | Accuracy (%) | 96.7 |
Interactive version: theaggregate.ai/model?slug=llama-2-70b-ensemble-v7 · How It Works · Data refreshed daily, snapshot 2026-11-08.