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README.md
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# NeuralNovel/Mistral-7B-Instruct-v0.2-Neural-Story
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## Model Details
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### Model Description
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The **Mistral-7B-Instruct-v0.2-Neural-Story** model, developed by NeuralNovel and funded by Techmind, is a language model finetuned from Mistral-7B-Instruct-v0.2. The model is designed to generate instructive and narrative text, with a specific focus on storytelling. It has been tailored to provide detailed and creative responses in the context of narrative prompts.
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### Uses
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#### Direct Use
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The model can be directly used for generating instructive and narrative text, making it suitable for creative writing prompts and storytelling applications.
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#### Downstream Use [optional]
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The model can be further fine-tuned for specific tasks or integrated into larger applications for downstream use, depending on the user's requirements.
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#### Out-of-Scope Use
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The model may not perform well in scenarios unrelated to instructive and narrative text generation. Misuse or applications outside its designed scope may result in suboptimal outcomes.
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The model may exhibit biases or limitations inherent in the training data. It is essential to consider these factors when deploying the model to avoid unintended consequences.
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Trained using NVIDIA Tesla T40 24 GB.
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n_epochs = 3,
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# NeuralNovel/Mistral-7B-Instruct-v0.2-Neural-Story
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The **Mistral-7B-Instruct-v0.2-Neural-Story** model, developed by NeuralNovel and funded by Techmind, is a language model finetuned from Mistral-7B-Instruct-v0.2. The model is designed to generate instructive and narrative text, with a specific focus on storytelling. It has been tailored to provide detailed and creative responses in the context of narrative prompts.
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### Uses
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The model can be directly used for generating instructive and narrative text, making it suitable for creative writing prompts and storytelling applications.
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#### Out-of-Scope Use
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The model may not perform well in scenarios unrelated to instructive and narrative text generation. Misuse or applications outside its designed scope may result in suboptimal outcomes.
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The model may exhibit biases or limitations inherent in the training data. It is essential to consider these factors when deploying the model to avoid unintended consequences.
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### Hardware and Training
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Trained using NVIDIA Tesla T40 24 GB.
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```
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n_epochs = 3,
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