Baidu releases ERNIE 5.5 Flash Base with 280 billion parameters
Original title: Baidu releases ERNIE 5.5 Flash Base with 280 billion parameters as an open-source foundation model
Open foundation model with 280 billion parameters and 14 billion active per input, pre-trained on 33.5 trillion tokens.
Baidu released ERNIE-5.5-Flash-Base as an open-source foundation model without included fine-tuning. The mixture-of-experts model supports up to 1 million token context. Weights in FP8 and BF16 are available on Hugging Face.
- 14 billion parameters active per input
- Pre-trained on 33.5 trillion tokens
- Benchmarks competitive with DeepSeek-V4-Flash-Base in reasoning, code, and long-context tasks
- Vendors
- Baidu
- AI models
- ERNIE-5.5-Flash-Base
From the original article
1 min read at the-decoder.comBaidu releases ERNIE 5. 5 Flash Base: a 280-billion-parameter MoE model pre-trained on 33. 5 trillion tokens, shipped deliberately without fine-tuning, so developers can take it wherever they want.
By Matthias Bastian · the-decoder.com
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