Llama 2 13B Code Alpaca: benchmark results
Provider: Meta. Access: Open.
Aggregate Rating 1349 ± 15, rank #7736 of 10916 rated models, from 68 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| MMLU-by-task - Computer Security | 72 | Accuracy (%) | 88.7 |
| MMLU-by-task - Jurisprudence | 75 | Accuracy (%) | 87.6 |
| MMLU-by-task - Clinical Knowledge | 62.64 | Accuracy (%) | 87.4 |
| MMLU-by-task - High School Chemistry | 45.81 | Accuracy (%) | 87.2 |
| MMLU-by-task - Management | 76.7 | Accuracy (%) | 86.8 |
| MMLU-by-task - US Foreign Policy | 84 | Accuracy (%) | 86.5 |
| MMLU-by-task - Nutrition | 63.07 | Accuracy (%) | 85.3 |
| MMLU-by-task - Philosophy | 66.24 | Accuracy (%) | 85.2 |
| MMLU-by-task - High School Biology | 68.06 | Accuracy (%) | 84.5 |
| MMLU-by-task - Sociology | 76.62 | Accuracy (%) | 84.3 |
| MMLU-by-task - College Computer Science | 48 | Accuracy (%) | 83.8 |
| MMLU-by-task - College Medicine | 53.76 | Accuracy (%) | 83.4 |
Interactive version: theaggregate.ai/model?slug=llama-2-13b-code-alpaca · How It Works · Data refreshed daily, snapshot 2026-11-08.