Early this morning, Clement Delangue, CEO of Hugging Face, one of the world's largest open source platforms, released an important news on social platforms, announcing that DeepSeek-R1 has received more than 10,000 likes on Hugging Face, becoming the most popular big model of the platform's nearly 1.5 million models. This achievement not only marks the technological excellence of DeepSeek-R1, but also reflects its wide recognition and influence in the global AI community.
The DeepSeek-R1's rise is impressive. Just weeks after its release, Clement Delangue has posted that the model has become one of the most popular models on Hugging Face. Now, its popularity has further increased, and with impressive results of more than 10,000 likes, it has surpassed nearly 1.5 million models on the platform and successfully reached the top. This achievement not only demonstrates the technical strength of DeepSeek-R1, but also proves its popularity in the developer community.
In addition, the variant version of DeepSeek-R1 also showed strong market demand and has been downloaded more than 10 million times. This data further confirms its popularity among developers and users, and also reflects its wide applicability in multiple application scenarios.
The rapid popularity of DeepSeek-R1 is not only due to its efficient performance, but also due to its innovation in the field of AI technology. As an open source big model, DeepSeek-R1 has attracted widespread attention from developers around the world with its powerful generalization capabilities, efficient training framework and support for multi-task learning. Its application scenarios cover multiple fields such as natural language processing, computer vision and multimodal interaction, providing strong support for the implementation of AI technology.
As an open source platform that brings together global AI developers, Hugging Face's model list is extremely competitive. The ability to stand out from millions of models not only demonstrates its technological strength, but also reflects its high recognition in the open source community. This achievement is not only an affirmation of the DeepSeek-R1 team, but also provides a model worth learning from and reference for AI developers around the world.