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A head-to-head benchmark comparison of Llama 2-13B across 9 evaluations.
In this work, we develop and release Llama 2, a collection of pretrained and fine-tuned large language models (LLMs) ranging in scale from 7 billion to 70 billi.
Full Llama 2-13B specs →| Benchmark | Llama 2-13B |
|---|---|
| general | |
| MMLU | 55.7% |
| MMLU-Pro | 23.9% |
| knowledge | |
| AGIEval | 41.5 |
| ARC-Challenge | 67.3 |
| TriviaQA | 81.3 |
| math | |
| GSM8K | 28.1% |
| reasoning | |
| DROP | 45.6% |
| HellaSwag | 83.9 |
| Winogrande | 74.9 |
Best result per row highlighted in cyan. Each benchmark links to its definition and sources; each model links to its full scorecard.
This comparison covers 9 benchmarks on which at least one of the selected models has a published score.
Scores are aggregated from official model cards, technical reports and standard public evaluations, and link back to each benchmark's source. They are updated as new results are published.
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