本文主要是介绍开源模型应用落地-qwen2模型小试-入门篇（六），希望对大家解决编程问题提供一定的参考价值，需要的开发者们随着小编来一起学习吧！
一、前言
经过前五篇“qwen模型小试”文章的学习，我们已经熟练掌握qwen大模型的使用。然而，就在前几天开源社区又发布了qwen1.5版本，它是qwen2模型的测试版本。在基于transformers的使用方式上有较大的调整，现在，我们赶紧跟上脚步，去体验一下新版本模型的推理质量。
二、术语
2.1. Qwen1.5
Qwen1.5 is the beta version of Qwen2, a transformer-based decoder-only language model pretrained on a large amount of data. In comparison with the previous released Qwen, the improvements include:
- 6 model sizes, including 0.5B, 1.8B, 4B, 7B, 14B, and 72B;
- Significant performance improvement in human preference for chat models;
- Multilingual support of both base and chat models;
- Stable support of 32K context length for models of all sizes
- No need of
trust_remote_code.
For more details, please refer to our <
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