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A head-to-head benchmark comparison of Qwen2-1.5B across 13 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 Qwen2-1.5B specs →| Benchmark | Qwen2-1.5B |
|---|---|
| code | |
| HumanEval | 31.1% |
| MBPP | 37.4% |
| general | |
| C-Eval | 70.6% |
| MMLU | 56.5% |
| MMLU-Pro | 21.8% |
| knowledge | |
| ARC-Challenge | 43.9 |
| CMMLU | 70.3 |
| math | |
| GSM8K | 58.5% |
| MATH | 21.7% |
| reasoning | |
| BIG-Bench Hard | 37.2% |
| HellaSwag | 66.6 |
| Winogrande | 66.2 |
| safety | |
| TruthfulQA | 45.9% |
Best result per row highlighted in cyan. Each benchmark links to its definition and sources; each model links to its full scorecard.
Qwen2-1.5B 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 13 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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