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# Lightweight NLU
Rubert Tiny
MIT
An extremely compact distilled version (45MB, 12M parameters) of the bert-base-multilingual-cased model for Russian and English, prioritizing speed and size over absolute accuracy
Large Language Model
Transformers Supports Multiple Languages
Transformers Supports Multiple LanguagesR
cointegrated
36.18k
41
Deberta V3 Small
MIT
DeBERTa-v3 is an improved natural language understanding model developed by Microsoft, optimized through ELECTRA-style pretraining and gradient-disentangled embedding sharing technology to achieve efficient performance while maintaining a relatively small parameter count.
Large Language Model Transformers English
Transformers EnglishD
microsoft
189.23k
51
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