Unverified50% confidenceFactExact time
Google's T5-XXL text encoder has 11 billion parameters.
1
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50%
Confidence
Long-term
Relevance
9/5/2026
First Seen
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Related Claims
UnverifiedUMT5-XXL 是 Google UL2 研究衍生出的多任务文本编码器，参数量达数百亿级别75% similarVerifiedT5 was proposed by Google in 2019, unifying all NLP tasks into a text-to-text format.65% similarUnverifiedBERT由Google于2018年提出，采用双向编码架构，参数量通常在1亿至3.4亿之间63% similarUnverifiedSmall language models typically have parameter counts ranging from hundreds of millions to tens of billions, such as Microsoft's Phi-3 (3.8B), Google's Gemma 2B, and Meta's Llama 3.2 (1B/3B).63% similarUnverifiedGoogle DeepMind open-sourced Gemma 4, with 31B parameters, featuring a native multimodal design that omits the traditional encoder structure.62% similar
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