LLaMa-2-PeanutButter_v37_SFT-R1-DPO-R2-7B: benchmark results
Provider: Meta.
Aggregate Rating 1283 ± 18, rank #8940 of 10916 rated models, from 62 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| MMLU-by-task - High School Mathematics | 29.63 | Accuracy (%) | 72.9 |
| MMLU-by-task - Machine Learning | 37.5 | Accuracy (%) | 71.9 |
| MMLU-by-task - Business Ethics | 54 | Accuracy (%) | 70.8 |
| MMLU-by-task - Philosophy | 61.74 | Accuracy (%) | 70.1 |
| MMLU-by-task - College Mathematics | 34 | Accuracy (%) | 69.2 |
| MMLU-by-task - Professional Medicine | 51.84 | Accuracy (%) | 67.6 |
| MMLU-by-task - Anatomy | 48.15 | Accuracy (%) | 66.5 |
| MMLU-by-task - High School Physics | 32.45 | Accuracy (%) | 66 |
| MMLU-by-task - Conceptual Physics | 42.55 | Accuracy (%) | 65.8 |
| MMLU-by-task - Electrical Engineering | 47.59 | Accuracy (%) | 65.2 |
| MMLU-by-task - World Religions | 71.93 | Accuracy (%) | 62.5 |
| MMLU-by-task - Medical Genetics | 55 | Accuracy (%) | 62 |
Interactive version: theaggregate.ai/model?slug=llama-2-peanutbutter-v37-sft-r1-dpo-r2-7b · How It Works · Data refreshed daily, snapshot 2026-11-08.