Unverified50% confidenceFactExact time
Mainstream international open-source models such as Qwen, Gemma, and Llama 3, whose training data includes multilingual data, can meet basic application requirements on Japanese tasks.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
9/11/2026
First Seen
Valid until: 12/10/2026
Sources
Related Entities
Related Claims
UnverifiedAlibaba's Qwen series performs prominently on multilingual and code tasks.72% similarUnverifiedThe Qwen team adopted a four-stage training process, with the first stage establishing foundational language capabilities on approximately 36 trillion tokens of multilingual corpus.72% similarUnverified现代多语言模型如mT5、BLOOM和Llama系列在数百种语言的文本上联合训练，通过共享词汇表和跨语言注意力机制构建跨语言语义地图69% similarUnverifiedQwen的参数规模从70亿到数千亿不等，训练数据涵盖中英文及多语言语料69% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/909055API
curl https://kongchang.com/api/v1/knowledge/claims/909055MCP
get_claim(id=909055)