Tapex Base Finetuned Wikisql
Microsoft's Tapex Base Finetuned Wikisql is a chat model based on the BART architecture, leveraging a transformer encoder-encoder design to empower existing models with table reasoning skills. It is genuinely best at table question answering on relatively simple questions, as demonstrated by its ability to solve questions such as those related to notes for South Australia or player positions.
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Frequently asked questions about Tapex Base Finetuned Wikisql
Answered from the entry's own fields: context, license, modalities, evidence, serving and the memory to self-host.
Tapex Base Finetuned Wikisql advertises a context window of 1,024 tokens. 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. Tapex Base Finetuned Wikisql is an open-weight model released under the MIT license, so the weights can be downloaded and self-hosted within that license's terms.
Tapex Base Finetuned Wikisql 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 Tapex Base Finetuned Wikisql 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; Tapex Base Finetuned Wikisql 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 Tapex Base Finetuned Wikisql, 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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