Deberta V2 Xlarge
Deberta V2 Xlarge is a chat model developed by Microsoft, exceling at text generation tasks with its disentangled attention and enhanced mask decoder architecture. It achieves top-notch performance on several NLU tasks, including SST-2 with 97.5% accuracy and RTE with 93.9% accuracy, showcasing its strength in natural language understanding.
Input
Output
Context
1K
Max Output
1K
Parameters
900M
Technical Specifications
Model TypeChat
Context Window512 tokens
Max Output Tokens512 tokens
Parameters900M
Release DateMar 2, 2022
Training CutoffNot available
Licensemit
Open SourceYes
Input Modalities
Text
Output Modalities
Text
Capabilities
Resources & Links
Estimated GPU Requirements for Deberta V2 Xlarge
Estimates based on INT8 quantization. Actual requirements vary by framework and configuration.
Related Tools
Data sourced from official provider APIs and documentation
Last updated: Jun 23, 2026
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