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--- |
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license: apache-2.0 |
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datasets: |
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- ajibawa-2023/General-Stories-Collection |
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language: |
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- en |
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tags: |
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- story |
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- art |
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- general audience |
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- knowledge |
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--- |
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**General-Stories-Mistral-7B** |
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This model is based on my dataset [General-Stories-Collection](https://huggingface.co/datasets/ajibawa-2023/General-Stories-Collection) which has **1.3 million** stories especially meant for General audience. |
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After an extensive training period spanning over 15 days, this model has been meticulously honed to deliver captivating narratives with broad appeal. |
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Leveraging a vast synthetic dataset comprising approximately **1.3 million** stories tailored for diverse readership, this model possesses a deep understanding of narrative intricacies and themes. |
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We're excited to introduce this powerful tool, ready to spark imagination and entertain readers worldwide with its versatile storytelling capabilities. |
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As we embark on this exciting journey of AI storytelling, we invite you to explore the endless possibilities our model has to offer. Whether you're a writer seeking inspiration, a reader in search of a captivating tale, or a creative mind eager to push the boundaries of storytelling, our model is here to inspire, entertain, and enrich your literary experience. |
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Kindly note this is qLoRA version. |
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**GGUF & Exllama** |
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Standard Q_K & GGUF: TBA |
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Exllama: TBA |
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**Training** |
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Entire dataset was trained on 4 x A100 80GB. For 2 epoch, training took more than 30 Hours. Axolotl codebase was used for training purpose. Entire data is trained on Mistral-7B-v0.1. |
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**Example Prompt:** |
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This model uses **ChatML** prompt format. |
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``` |
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<|im_start|>system |
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You are a Helpful Assistant.<|im_end|> |
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<|im_start|>user |
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{prompt}<|im_end|> |
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<|im_start|>assistant |
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``` |
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You can modify above Prompt as per your requirement. |
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I want to say special Thanks to the Open Source community for helping & guiding me to better understand the AI/Model development. |
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Thank you for your love & support. |
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**Example Output** |
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Example 1 |
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Example 2 |
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Example 3 |
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Example 4 |
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