百度发布 ERNIE 5.5 Flash Base 开源基础模型，参数量达 2800 亿
Baidu releases ERNIE 5.5 Flash Base with 280 billion parameters as an open-source foundation model
百度发布 ERNIE 5.5 Flash Base 开源基础模型，参数量达 2800 亿，采用专家混合架构，预训练于 3350 亿个 token，支持上下文长度可达 100 万 token。模型未进行微调和后训练，开发者可自行决定模型应用方向。
原文给出了能力变化和开放入口，读者可以据此判断它会怎样改变现有工作流。
Baidu's AI development is still alive, but most of the work is on you. The Chinese company has released ERNIE-5.5-Flash-Base, an open foundation model that ships deliberately without fine-tuning or post-training. Developers are expected to decide for themselves where to take the model. A post-trained version is supposed to follow.
ERNIE 5.5 uses a mixture-of-experts architecture with 280 billion parameters, 14 billion of which are active per input. The model was pre-trained on 33.5 trillion tokens with a training context of up to 128,000 tokens, though it's designed to support a context of up to one million tokens during fine-tuning and inference.
In benchmarks for reasoning, code, and long-context tasks, the model competes with similarly sized open foundation models like DeepSeek V4 Flash or MiMo V2.5, according to Baidu. The weights are available on Hugging Face in FP8 and BF16.
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来源：The Decoder · the-decoder.com