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README.md
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license: other
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license_name: concedo
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license_link: LICENSE
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---
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---
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license: other
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license_name: concedo
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license_link: LICENSE
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---
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<div align="center">
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# Phi-SoSerious-Mini-V1
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</div>
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![image/png](https://cdn-uploads.huggingface.co/production/uploads/63cd4b6d1c8a5d1d7d76a778/eKsJlyzm30gxwAM-doIC-.png)
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# Let's put a smile on that face!
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This is a finetune of https://huggingface.co/microsoft/Phi-3-mini-4k-instruct trained on a variant of the Kobble Dataset.
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Training was done in under 4 hours on a single Nvidia RTX 3090 GPU with qLora (LR 1.2e-4, rank 16, alpha 16, batch size 3, gradient acc. 3, 2048 ctx).
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You can obtain the GGUF quantization of this model here:
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## Dataset and Objectives
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The Kobble Dataset is a semi-private aggregated dataset made from multiple online sources and web scrapes, augmented with some synthetic data.
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It contains content chosen and formatted specifically to work with KoboldAI software and Kobold Lite.
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The objective of this model was to produce a usable version of Phi-3-mini usable for storywriting, conversations and instructions, and without excess tendency for refsual.
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#### Dataset Categories:
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- Instruct: Single turn instruct examples presented in the Alpaca format, with an emphasis on uncensored and unrestricted responses.
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- Chat: Two participant roleplay conversation logs in a multi-turn raw chat format that KoboldAI uses.
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- Story: Unstructured fiction excerpts, including literature containing various erotic and provocative content.
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<!-- prompt-template start -->
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## Prompt template: Alpaca
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```
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### Instruction:
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{prompt}
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### Response:
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```
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<!-- prompt-template end -->
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**Note:** *No assurances will be provided about the **origins, safety, or copyright status** of this model, or of **any content** within the Kobble dataset.*
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*If you belong to a country or organization that has strict AI laws or restrictions against unlabelled or unrestricted content, you are advised not to use this model.*
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