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A head-to-head benchmark comparison of Qwen2-7B across 16 evaluations.
This report introduces the Qwen2 series, the latest addition to our large language models and large multimodal models. We release a comprehensive suite of found.
Full Qwen2-7B specs →| Benchmark | Qwen2-7B |
|---|---|
| code | |
| HumanEval | 51.2% |
| MBPP | 65.9% |
| coding | |
| EvalPlus | 54.2 |
| MultiPL-E | 46.3 |
| general | |
| C-Eval | 83.2% |
| MMLU | 70.3% |
| MMLU-Pro | 40% |
| knowledge | |
| ARC-Challenge | 60.6 |
| CMMLU | 83.9 |
| math | |
| GSM8K | 79.9% |
| MATH | 44.2% |
| reasoning | |
| BIG-Bench Hard | 62.6% |
| GPQA Diamond | 31.8% |
| HellaSwag | 80.7 |
| Winogrande | 77 |
| safety | |
| TruthfulQA | 54.2% |
Best result per row highlighted in cyan. Each benchmark links to its definition and sources; each model links to its full scorecard.
Qwen2-7B 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 16 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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