LLaMa-2-PeanutButter_v14-7B: benchmark results
Provider: Meta.
Aggregate Rating 1281 ± 17, rank #8973 of 10916 rated models, from 62 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| MMLU-by-task - Econometrics | 32.46 | Accuracy (%) | 77.1 |
| MMLU-by-task - Anatomy | 49.63 | Accuracy (%) | 75.9 |
| MMLU-by-task - Machine Learning | 37.5 | Accuracy (%) | 71.9 |
| MMLU-by-task - High School Mathematics | 29.26 | Accuracy (%) | 70.6 |
| MMLU-by-task - Moral Scenarios | 30.84 | Accuracy (%) | 68.9 |
| MMLU-by-task - Abstract Algebra | 32 | Accuracy (%) | 68.1 |
| MMLU-by-task - HellaSwag | 61.48 | Accuracy (%) | 68.1 |
| MMLU-by-task - Conceptual Physics | 42.55 | Accuracy (%) | 65.8 |
| MMLU-by-task - High School Chemistry | 38.92 | Accuracy (%) | 65.4 |
| MMLU-by-task - Elementary Mathematics | 31.48 | Accuracy (%) | 63.8 |
| MMLU-by-task - Professional Medicine | 50.37 | Accuracy (%) | 61.3 |
| MMLU-by-task - US Foreign Policy | 72 | Accuracy (%) | 57.7 |
Interactive version: theaggregate.ai/model?slug=llama-2-peanutbutter-v14-7b · How It Works · Data refreshed daily, snapshot 2026-11-08.