Omniracle

Qwen2支持哪些具体语言？

Qwen2支持的具体语言包括：

  1. 多种语言支持：Qwen2支持多达27种语言，涵盖了多种语言的高质量数据集。这些语言的支持使得Qwen2能够处理多样化的语言任务。

  2. 主要语言：Qwen2在中文和英文方面表现尤为突出，优化了对这两种语言的处理能力。

  3. 编程语言支持：Qwen2还支持多种编程语言，能够处理与代码相关的任务。

  4. 长文本处理能力：Qwen2-72B-Instruct模型支持高达128K tokens的长文本输入，适合处理复杂的语言任务。

综上所述，Qwen2不仅支持多种自然语言，还具备处理编程语言的能力，适合多种应用场景。

- RESOURCES -

yzsydlc/qwen2 · Hugging Face

yzsydlc/qwen2 · Hugging Face

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Qwen2: 阿里巴巴集团的新一代多语言大模型_qwen2模型测试参数-CSDN博客

文章浏览阅读1k次，点赞21次，收藏26次。多语言支持：Qwen2在29种语言上进行了训练，包括英语和中文。这使得它能够处理和理解多种语言的文本，为跨语言应用提供了强大支持。多种规模：Qwen2提供了四种不同参数规模的模型版本：0.5B、1.5B、7B和72B。这种梯度化的设计使得用户可以根据具体需求和资源限制选择合适的模型。超长上下文：在7B和72B版本中，模型的上下文长度已经扩展到了128K个令牌(tokens)。这大大增强了模型处理长文本和复杂任务的能力。先进架构。_qwen2模型测试参数......

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