Baidu open-sources ERNIE-5.5-Flash-Base, a 280B-parameter sparse MoE

Baidu has published ERNIE-5.5-Flash-Base on Hugging Face. Its model card describes ERNIE 5.5 Flash as an efficient sparse mixture-of-experts language model with 280B total and 14B active parameters, pretrained from scratch on 33.5T tokens with a 128K training context. Fine-tuning and inference support up to 1M tokens of context.

This is the base checkpoint from the end of pretraining: it has had no mid-training or post-training, so it is not an instruction-tuned chat model. A Chinese-language post sharing the release called it comparable in size class to DeepSeek V4 Flash; that comparison is the poster's, not Baidu's.