Summary: The Evolution of China’s Open Source AI Landscape
In this second installment of our three-part series, we delve into the architectural and hardware innovations shaping China’s open-source community since the pivotal “DeepSeek Moment” in January 2025. Key insights include:
- Architectural Shift: A strong move towards Mixture-of-Experts (MoE) architectures—like Kimi K2 and MiniMax M2—emphasizes sustainability and cost-effective solutions.
- Expanding Modalities: Beyond text models, there’s a burgeoning focus on multimodal models, such as text-to-image and video generation, reflecting system-level capabilities rather than isolated breakthroughs.
- Preference for Smaller Models: The trend favors models in the 0.5B–30B range, which are easier to integrate and fine-tune for business applications.
- Permissive Licensing: Adoption of Apache 2.0 licenses promotes easier modifications and deployment, enhancing ecosystem fluidity.
As the community redefines AI systems, we anticipate a shift from mere model performance to innovative system design.
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