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.
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Data sourced from official provider APIs and documentation
Last updated: Aug 8, 2026
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