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baidu
Baidu: ERNIE 4.5 21B A3B
A sophisticated text-based Mixture-of-Experts (MoE) model featuring 21B total parameters with 3B activated per token, delivering exceptional multimodal understanding and generation through heterogeneous MoE structures and modality-isolated routing. Supporting an extensive 131K token context length, the model achieves efficient inference via multi-expert parallel collaboration and quantization, while advanced post-training techniques including SFT, DPO, and UPO ensure optimized performance across diverse applications with specialized routing and balancing losses for superior task handling.
baidu/ernie-4.5-21b-a3b
Context Size
120K
Input Price
430.5 Ks/M
Output Price
1,722 Ks/M
Architecture
Text
Supported Parameters
frequency_penaltymax_tokenspresence_penaltyrepetition_penaltyseedstoptemperaturetool_choicetoolstop_ktop_p
Details
TokenizerOther
Max Completion8,000 tokens
Provider Context120K tokens
ModeratedNo