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阿里巴巴旗下阿里云近日宣布,其通义千问系列再添新成员——320亿参数的Qwen1.5-32B大语言模型已实现全面开源。这一举措彰显了阿里云在人工智能领域的持续创新与开放合作精神。据官方介绍,Qwen1.5-32B模型在性能、效率和内存占用之间达到了理想的平衡,为各企业和开发者提供了更具性价比的解决方案。

通义千问开源项目再创里程碑,目前共开放了7款不同规模的语言模型,涵盖5亿至720亿参数不等,且所有模型均已升级至1.5版本。这一系列的开源行动在国内外开发者社区中反响热烈,累计下载量已突破300万次,显示了通义千问在人工智能语言模型领域的广泛影响力和受欢迎程度。

这一开源策略不仅有助于推动人工智能技术的普及和应用,同时也为科研机构和企业提供了丰富的工具和资源,加速其在自然语言处理、智能客服、内容生成等领域的创新步伐。通义千问的开源模型通过持续优化,有望进一步降低AI技术的使用门槛,促进全球范围内的技术交流与合作。

英语如下:

**News Title:** “Alibaba Cloud’s Qwen千问 Breaks New Ground: Open Sources 320 Billion Parameter Model, Leads the New Era of Language Technology Open Source”

**Keywords:** Qwen千问, Open Source Model, Parameter Upgrade

**News Content:** Alibaba’s subsidiary, Alibaba Cloud, recently announced that its Qwen千问 series has expanded with the Qwen1.5-32B large language model, featuring 320 billion parameters, which has now been fully open sourced. This move underscores Alibaba Cloud’s ongoing commitment to innovation and open collaboration in the field of artificial intelligence. According to official statements, the Qwen1.5-32B model strikes an ideal balance between performance, efficiency, and memory usage, offering a more cost-effective solution for enterprises and developers.

The Qwen千问 open source project has reached a new milestone, with a total of seven language models of varying scales now available, ranging from 500 million to 72 billion parameters, all upgraded to version 1.5. The initiative has resonated warmly within the global developer community, with cumulative downloads exceeding three million, reflecting the broad influence and popularity of Qwen千问 in the AI language model domain.

This open-source strategy not only contributes to the普及 and application of AI technology but also equips research institutions and enterprises with a wealth of tools and resources, accelerating innovation in areas such as natural language processing, intelligent customer service, and content generation. Through continuous optimization, the open-source Qwen千问 models are expected to further lower the barrier to AI technology adoption, fostering global technological exchange and collaboration.

【来源】https://www.leiphone.com/category/industrynews/ZF6wxlum2yVXJXzo.html

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