Unverified50% confidenceFactExact time
ERNIE 5.5 Flash Base uses a 43-layer Transformer architecture with 64 attention heads and was trained on 33.5T tokens.
1
Sources
50%
Confidence
Long-term
Relevance
11/5/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedThe name ERNIE 5.5 Flash Base suggests its positioning in lightweight design and inference efficiency.68% similarUnverifiedBaidu's ERNIE 5.5 Flash Base has been officially open-sourced, with 280B total parameters, 14B activated parameters, and support for million-level context.67% similarUnverifiedERNIE 5.5 Flash Base uses a hybrid MLA and HCA attention architecture, with the KV Cache portion optimized using MLA while most layers remain HCA structure.65% similarUnverifiedTransformers库集成了GPTQ、AWQ、bitsandbytes等量化技术和Flash Attention加速方案63% similarUnverifiedLlama-3 70B采用80层Transformer、每层64个注意力头、每头128维配置，并采用GQA设计63% similar
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