为乌干达20多种语言构建开源大模型，突破非洲语种覆盖瓶颈
Sunflower: A New Approach To Expanding Coverage of African Languages in Large Language Models
- 基于Qwen 3架构，专为乌干达多语言设计
- Sunflower 14B/32B在多数乌干达语言上达到领先理解能力
- 开源模型助力医疗、教育等场景破除语言障碍
非洲有超过2000种活语言，多数未被主流语言技术覆盖。当前领先的大语言模型虽在斯瓦希里语、约鲁巴语等常见语言上表现良好，但优先支持使用者最多的语言，导致对分散语言的支持零散。我们主张采用区域性聚焦策略，以乌干达为例展开案例研究。本文介绍了Sunflower 14B与32B模型的开发，其基于Qwen 3架构，在绝大多数乌干达语言上实现顶尖的理解能力。模型已开源，可用于降低医疗、教育等领域中的语言壁垒。
原文摘要 · Abstract (English)
There are more than 2000 living languages in Africa, most of which have been bypassed by advances in language technology. Current leading LLMs exhibit strong performance on a number of the most common languages (e.g. Swahili or Yoruba), but prioritise support for the languages with the most speakers first, resulting in piecemeal ability across disparate languages. We contend that a regionally focussed approach is more efficient, and present a case study for Uganda, a country with high linguistic diversity. We describe the development of Sunflower 14B and 32B, a pair of models based on Qwen 3 with state of the art comprehension in the majority of all Ugandan languages. These models are open source and can be used to reduce language barriers in a number of important practical applications.
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