DeepMount00
/

Mamba-QA-ITA-790m

Question Answering

text-generation-inference

question answering

Inference Endpoints

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DeepMount00 commited on Jan 30

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 # Question Answering Generative Model
-The key distinction between this model and DeepMount00/Mamba-QA-ITA lies in their performance and scale. This model boasts significantly improved performance and houses approximately 790 million parameters, a substantial increase from the 370 million parameters of DeepMount00/Mamba-QA-ITA. Furthermore, it delivers answers with greater accuracy and precision, enhancing the user experience and reliability of information.
 ## Overview
 The model is a question-answering generative system, evolved from the Mamba model with 790 million parameters. This advanced model is capable of responding to complex questions and understanding when the answer is not present in the provided context.

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 # Question Answering Generative Model
+The key distinction between this model and **DeepMount00/Mamba-QA-ITA** lies in their performance and scale. This model boasts significantly improved performance and houses approximately 790 million parameters, a substantial increase from the 370 million parameters of DeepMount00/Mamba-QA-ITA. Furthermore, it delivers answers with greater accuracy and precision, enhancing the user experience and reliability of information.
 ## Overview
 The model is a question-answering generative system, evolved from the Mamba model with 790 million parameters. This advanced model is capable of responding to complex questions and understanding when the answer is not present in the provided context.