Deberta Base Mnli, developed by Microsoft, is an open-source model that excels at natural language understanding (NLU) tasks, particularly those involving question answering and inference, such as SQuAD and MNLI. Its disentangled attention mechanism and enhanced mask decoder enable strong performance, as evidenced by its high scores on the MNLI-m and SQuAD benchmarks, with the MNLI-m score ranking in the top 25%. Notably, this model leverages a base DeBERTa architecture fine-tuned for the MNLI task, allowing it to effectively capture nuanced linguistic relationships.
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1K
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110M
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Estimates based on INT8 quantization. Actual requirements vary by framework and configuration.
Data sourced from official provider APIs and documentation
Last updated: Jun 24, 2026
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