新加坡AISG发布新一代大语言模型Qwen-Sea-Lion-v4，底层架构从Meta Llama切换为阿里Qwen3-32B，在东南亚语言评估基准Sea-Helm的<2000亿参数开源榜单夺冠。切换主因：Qwen3预训练覆盖119种语言/方言，对印尼语等低资源语言适配更优；分词优化放弃西方常用方案，原生多语架构降低后续训练门槛。
aisingapore
Qwen-SEA-LION-v4-32B-IT是基于Qwen3-32B构建的东南亚语言大语言模型，专门针对东南亚地区进行了预训练和指令微调。该模型在包含7种东南亚语言的SEA-Pile v2语料库上继续预训练，并在800万对高质量问答数据上进行指令微调，具备强大的多语言理解和推理能力。
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