Deberta Large Mnli
Microsoft's Deberta Large Mnli is a chat model fine-tuned for natural language understanding tasks, particularly exceling at tasks like MNLI, where it achieves an accuracy of 91.3/91.1. Notably, it utilizes disentangled attention and an enhanced mask decoder, and has a context window of 512 tokens. With top-notch performance on several GLUE benchmark tasks, including SST-2 with an accuracy of 96.5, it demonstrates strong capabilities in text generation and understanding.
Input
Output
Context
1K
Max Output
1K
Parameters
350M
Technical Specifications
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Resources & Links
Estimated GPU Requirements for Deberta Large 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
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