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According to official data, Alibaba's Qwen3 large model has exceeded 12.5 million downloads globally within just one month since its open-source launch. It has drawn significant attention on major AI open-source platforms such as Hugging Face, ModelScope Community, and Ollama. Currently, Qwen3 offers four model versions with sizes of 0.6B, 8B, 30B, and 32B respectively, each exceeding one million downloads on the above-mentioned platforms, demonstrating strong global developer appeal. Particularly on Hugging Face platform, millions of users

As large language models accelerate their application, connecting AI systems with existing digital business chains has become a critical issue. On April 15th, Alipay, in collaboration with the ModelScope Community, pioneered the launch of the "Payment MCP Server" service in China, enabling AI agents to access payment capabilities with a single click, bridging the final mile from AI service to AI commercialization. Tests show that AI developers can use natural language to access Alipay's payment services, quickly enabling payments within AI agents. This product is currently available on the ModelScope Community MCP Plaza, Alipay's treasure box, and Alipay itself.

Alibaba DAMO Academy, in collaboration with the ModelScope community, recently announced the open sourcing of a new multilingual benchmark testing set, P-MMEval, aimed at comprehensively evaluating the multilingual capabilities of Large Language Models (LLMs) and conducting comparative analysis of cross-language transfer abilities. This testing set covers efficient datasets for both basic and specialized capabilities, ensuring consistency in multilingual coverage across all selected datasets, and provides parallel samples across multiple languages, supporting up to 10 languages from 8 different language families, including English, Chinese, and Arabic.