Llama 2 13B Ensemble V3: benchmark results
Provider: Meta.
Aggregate Rating 1350 ± 17, rank #7685 of 10916 rated models, from 62 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| MMLU-by-task - Computer Security | 75 | Accuracy (%) | 93.3 |
| MMLU-by-task - Medical Genetics | 67 | Accuracy (%) | 91.2 |
| MMLU-by-task - Electrical Engineering | 54.48 | Accuracy (%) | 88.6 |
| MMLU-by-task - Machine Learning | 44.64 | Accuracy (%) | 88.2 |
| MMLU-by-task - Human Sexuality | 67.94 | Accuracy (%) | 87.6 |
| MMLU-by-task - Jurisprudence | 75 | Accuracy (%) | 87.6 |
| MMLU-by-task - ARC Challenge | 59.81 | Accuracy (%) | 87.5 |
| MMLU-by-task - International Law | 76.86 | Accuracy (%) | 87.2 |
| MMLU-by-task - Logical Fallacies | 70.55 | Accuracy (%) | 87 |
| MMLU-by-task - Nutrition | 63.73 | Accuracy (%) | 87 |
| MMLU-by-task - Management | 76.7 | Accuracy (%) | 86.8 |
| MMLU-by-task - Business Ethics | 59 | Accuracy (%) | 85.8 |
Interactive version: theaggregate.ai/model?slug=llama-2-13b-ensemble-v3 · How It Works · Data refreshed daily, snapshot 2026-11-08.