llama-7B-SFT_eli5_wiki65k_1024_r_64_alpha_16_merged: benchmark results
Provider: Meta. Access: Open.
Aggregate Rating 1284 ± 15, rank #8930 of 10916 rated models, from 68 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| MMLU-by-task - Abstract Algebra | 34 | Accuracy (%) | 82 |
| MMLU-by-task - Formal Logic | 38.1 | Accuracy (%) | 82 |
| MMLU-by-task - Econometrics | 32.46 | Accuracy (%) | 77.1 |
| MMLU-by-task - Machine Learning | 38.39 | Accuracy (%) | 75.5 |
| MMLU-by-task - Anatomy | 48.89 | Accuracy (%) | 71.6 |
| MMLU-by-task - Professional Medicine | 51.84 | Accuracy (%) | 67.6 |
| MMLU-by-task - Business Ethics | 53 | Accuracy (%) | 66.1 |
| MMLU-by-task - Public Relations | 59.09 | Accuracy (%) | 63.1 |
| MMLU-by-task - Philosophy | 59.16 | Accuracy (%) | 62.8 |
| MMLU-by-task - World Religions | 71.93 | Accuracy (%) | 62.5 |
| MMLU-by-task - Computer Security | 61 | Accuracy (%) | 56.1 |
| MMLU-by-task - High School Government And Politics | 68.39 | Accuracy (%) | 55.9 |
Interactive version: theaggregate.ai/model?slug=llama-7b-sft-eli5-wiki65k-1024-r-64-alpha-16-merged · How It Works · Data refreshed daily, snapshot 2026-11-08.