Deberta Base Mnli
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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Frequently asked questions about Deberta Base Mnli
Answered from the entry's own fields: context, license, modalities, evidence, serving and the memory to self-host.
Deberta Base Mnli advertises a context window of 1,280 tokens, with a maximum output of 512 tokens in a single response. The figure is the creator's published maximum; a given host may serve less, and the gateway routes on what each host actually serves.
Yes. Deberta Base Mnli is an open-weight model released under the MIT license, so the weights can be downloaded and self-hosted within that license's terms.
Deberta Base Mnli accepts Text and produces Text. The capabilities card on this page lists which API features each deployment honours, such as function calling and structured output, with the source each was checked against.
No published benchmark result for Deberta Base Mnli is in the catalog yet, so the model is shown as unmeasured. It is not ranked or estimated; the router treats it as unknown for every task until a suite measures it.
Not on the managed pool today; Deberta Base Mnli is listed for reference and comparison. Connect your own provider key or endpoint that serves it and the gateway runs it on your account, with routing decisions recorded the same way.
Microsoft has not published a parameter count for Deberta Base Mnli, so the catalog cannot estimate its memory footprint. The capacity planner can size it from a parameter count you supply.
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Last updated: Aug 28, 2026
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