Deberta Xlarge Mnli
Microsoft's Deberta Xlarge Mnli is a chat model fine-tuned for natural language understanding tasks, particularly exceling at text generation. Its disentangled attention mechanism and enhanced mask decoder enable strong performance on tasks like MNLI, with an accuracy of 91.5/91.2. Notably, this model has a context window of 512 tokens, allowing it to process relatively long input sequences.
Input
Output
Context
1K
Max Output
1K
Parameters
1.5B
Technical Specifications
Model TypeChat
Context Window512 tokens
Max Output Tokens512 tokens
Parameters1.5B
Release DateMar 2, 2022
Training CutoffNot available
Licensemit
Open SourceYes
Input Modalities
Text
Output Modalities
Text
Capabilities
Resources & Links
Estimated GPU Requirements for Deberta Xlarge Mnli
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
Start building with the right model.
Automatically route workloads to the right model for every task, every time.