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Baidu has released ERNIE 5.5 Flash Preview, the first post-training version of the Wenxin large model Base. The model features 280B total parameters and 14B activated parameters, supports a 1M context window, and delivers outstanding performance in areas such as coding, 3D modeling, knowledge work, and content creation. It strikes a balance between intelligence and inference efficiency, achieves competitive scores across multiple benchmarks, and offers extremely fast decoding speed. The model API is now available on the Qianfan platform, and the weights will be open-sourced by November 25. As an intermediate post-training version, the model may still exhibit capability gaps due to insufficient training, and the official release will be refined based on real-world performance and user feedback.
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