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A head-to-head benchmark comparison of Llama 3-8B across 15 evaluations.
Today, we’re introducing Meta Llama 3, the next generation of our state-of-the-art open source large language model. Llama 3 models will soon be available on AW.
Full Llama 3-8B specs →| Benchmark | Llama 3-8B |
|---|---|
| code | |
| HumanEval | 33.5% |
| MBPP | 53.9% |
| general | |
| C-Eval | 49.5% |
| IFEval | 14.55% |
| MMLU | 66.7% |
| MMLU-Pro | 35.4% |
| knowledge | |
| ARC-Challenge | 60.24 |
| CMMLU | 50.8 |
| math | |
| GSM8K | 56% |
| MATH | 20.5% |
| reasoning | |
| BIG-Bench Hard | 57.7% |
| GPQA Diamond | 25.8% |
| HellaSwag | 82.23 |
| Winogrande | 78.45 |
| safety | |
| TruthfulQA | 42.93% |
Best result per row highlighted in cyan. Each benchmark links to its definition and sources; each model links to its full scorecard.
Llama 3-8B has the strongest result on HumanEval among the models compared here. See the code-category rows in the table for the full picture.
This comparison covers 15 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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