Deberta Base
Deberta Base is an open-source chat model developed by Microsoft, exceling at text generation tasks. It achieves notable scores on natural language understanding (NLU) tasks, including a score of 93.1 on SQuAD 1.1, with its disentangled attention mechanism being a key technical trait.
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1K
Max Output
1K
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Frequently asked questions about Deberta Base
Answered from the entry's own fields: context, license, modalities, evidence, serving and the memory to self-host.
Deberta Base advertises a context window of 512 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 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 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 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 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, so the catalog cannot estimate its memory footprint. The capacity planner can size it from a parameter count you supply.
Fields collected from public registries, host APIs and benchmark publishers, each tagged with its source.
Last updated: Aug 28, 2026
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