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# Model Card for Mistral-Interact
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- **Better understanding of user judgments:** Among all the open-source models, Mistral-Interact is the best at predicting task vagueness and missing details that users regard as necessary.
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- **Comprehensive summarization of user intentions:** Mistral-Interact is effective in making an explicit and comprehensive summary based on detailed user intentions.
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- **Enhanced model-user interaction experience:** Mistral-Interact inquires about missing details in vague tasks more reasonably and friendly than other open-source models, thus promoting a clearer understanding of the user’s implicit intentions.
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# Model Card for Mistral-Interact
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- Base IN3: https://huggingface.co/datasets/hbx/IN3
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- IN3-interaction: https://huggingface.co/datasets/hbx/IN3-interaction
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- Paper: https://arxiv.org/abs/2402.09205
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- Model: https://huggingface.co/hbx/Mistral-Interact
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- Repo: https://github.com/HBX-hbx/Mistral-Interact
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Using the [constructed interaction data](https://huggingface.co/datasets/hbx/IN3-interaction), we adapt Mistral-7B into Mistral-Interact, a powerful and robust variant of Mistral, capable of judging the vagueness of user instruction, actively querying for missing details with suggestions, and explicitly summarizing the detailed and clear user intentions. It has the following features:
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- **Better understanding of user judgments:** Among all the open-source models, Mistral-Interact is the best at predicting task vagueness and missing details that users regard as necessary.
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- **Comprehensive summarization of user intentions:** Mistral-Interact is effective in making an explicit and comprehensive summary based on detailed user intentions.
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- **Enhanced model-user interaction experience:** Mistral-Interact inquires about missing details in vague tasks more reasonably and friendly than other open-source models, thus promoting a clearer understanding of the user’s implicit intentions.
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