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Qwen2-72B: A Breakthrough in Large Language and Multimodal Models
- summary
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Qwen2, a new series of large language and multimodal models, outperforms its predecessors and rivals. The key model, Qwen2-72B, achieves high scores on various tests: 84.2 on MMLU, 37.9 on GPQA, 64.6 on HumanEval, 89.5 on GSM8K, and 82.4 on BBH. It handles 30 languages, ranging from English to Chinese.
Model weights and resources are freely available on Hugging Face, ModelScope, and GitHub, supporting customization and deployment.
| Scores | Value | Explanation |
|---|---|---|
| Objectivity | 7 | Comprehensive, balanced reporting with in-depth analysis. |
| Social Impact | 5 | Significant influence on public opinion in tech communities. |
| Credibility | 6 | Verified by multiple sources, highly credible. |
| Potential | 6 | High potential for significant tech advancements. |
| Practicality | 5 | Widely applied in practice, achieving good results. |
| Entertainment Value | 3 | Somewhat entertaining, primarily for tech enthusiasts. |