Baidu releases ERNIE 5.5 Flash Base with 280 billion parameters as an open-source foundation model
Baidu releases ERNIE 5.5 Flash Base with 280 billion parameters as an open-source foundation model
Same story3 other outlets also reported this
- ITHome · AI··First
Baidu Wenxin has open-sourced the ERNIE 5.5 Flash Base base model, with a total parameter of 280B.
- The Decoder··+9 h 36 min·Reading now
Baidu released the open-source ERNIE 5.5 Flash Base large model
Adds:The Decoder mentions the pre-training covers 3350 trillion tokens.
- MarkTechPost··+13 h 12 min
Baidu released ERNIE 5.5 Flash Base: a 280B MoE base model, activating 14B parameters per token.
In order of publication · later reports are added as they appear · Compared by AI from each outlet’s title and summary
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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Source: The Decoder · the-decoder.com