HomeMeituan Open Sources LongCat-2.0 Large Model, a Milestone for Domestic Computing Power
On July 6th, the AI field saw a major milestone as Meituan officially announced the open-source release of its foundational large model, LongCat-2.0. Industry experts regard this move as a significant breakthrough in applying domestic computing power to large-scale AI models.
As the first foundational large model in the industry trained and inferred entirely on domestic computing chips, LongCat-2.0 demonstrates impressive technical strength. Officially released on June 30th, both training and inference were successfully completed on a domestic computing cluster consisting of 50,000 cards, fully showcasing the stability and high performance of domestic chips when handling trillion-parameter-level models.
To promote technological inclusivity and ecosystem growth, Meituan adopted a comprehensive open-source strategy. On July 6th, the model weights, inference engine, and detailed technical documentation for LongCat-2.0 were simultaneously released on major developer platforms such as GitHub, Hugging Face, and ModelScope. Notably, the model is distributed under the MIT open-source license, allowing developers and companies to use it for commercial purposes free of charge, significantly lowering the barrier for small and medium-sized enterprises to adopt cutting-edge AI technology.
The domestic chip ecosystem responded quickly. On the same day Meituan announced the open-source release, three domestic chip manufacturers—Huawei Ascend, MoLeLineage, and Muxi Technologies—jointly announced that they had completed inference adaptation for the LongCat-2.0 model. This collaborative effort not only validates the model's compatibility with domestic hardware but also marks the rapid maturation of the integrated hardware-software ecosystem combining domestic chips with domestic large models.
This open-source initiative is not only a concentrated demonstration of technical capability but also provides a solid technical foundation for China's AI industry's self-reliance and control through the construction of a complete open-source ecosystem. As more developers contribute to optimizing and applying LongCat-2.0, the voice of domestic AI computing power in international competition is expected to grow further.
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On July 6th, the AI field saw a major milestone as Meituan officially announced the open-source release of its foundational large model, LongCat-2.0. Industry experts regard this move as a significant breakthrough in applying domestic computing power to large-scale AI models.
As the first foundational large model in the industry trained and inferred entirely on domestic computing chips, LongCat-2.0 demonstrates impressive technical strength. Officially released on June 30th, both training and inference were successfully completed on a domestic computing cluster consisting of 50,000 cards, fully showcasing the stability and high performance of domestic chips when handling trillion-parameter-level models.
To promote technological inclusivity and ecosystem growth, Meituan adopted a comprehensive open-source strategy. On July 6th, the model weights, inference engine, and detailed technical documentation for LongCat-2.0 were simultaneously released on major developer platforms such as GitHub, Hugging Face, and ModelScope. Notably, the model is distributed under the MIT open-source license, allowing developers and companies to use it for commercial purposes free of charge, significantly lowering the barrier for small and medium-sized enterprises to adopt cutting-edge AI technology.
The domestic chip ecosystem responded quickly. On the same day Meituan announced the open-source release, three domestic chip manufacturers—Huawei Ascend, MoLeLineage, and Muxi Technologies—jointly announced that they had completed inference adaptation for the LongCat-2.0 model. This collaborative effort not only validates the model's compatibility with domestic hardware but also marks the rapid maturation of the integrated hardware-software ecosystem combining domestic chips with domestic large models.
This open-source initiative is not only a concentrated demonstration of technical capability but also provides a solid technical foundation for China's AI industry's self-reliance and control through the construction of a complete open-source ecosystem. As more developers contribute to optimizing and applying LongCat-2.0, the voice of domestic AI computing power in international competition is expected to grow further.
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