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--- |
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datasets: |
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- DuckyBlender/racist-dataset |
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language: |
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- en |
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tags: |
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- not-for-all-audiences |
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- racist |
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- nsfw |
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license: gpl-3.0 |
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pipeline_tag: text-generation |
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--- |
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**Phi-3-Mini Racist Fine-Tune: An Efficient Racist Model (for Educational Purposes)** |
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**Model Description** |
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This fine-tuned Phi-3-mini model is designed to be as racist and controversial as possible. **Please note that the model's output may be offensive or disturbing to some individuals.** |
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- GGUF: [https://huggingface.co/DuckyBlender/racist-phi3-GGUF](https://huggingface.co/DuckyBlender/racist-phi3-GGUF) |
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- Ollama: [https://ollama.com/duckyblender/racist-phi3](https://ollama.com/duckyblender/racist-phi3) |
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**Why?** |
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----------------- |
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This entire model is basically a test of which is stronger - the ethical side of the model, or the new controvertial LoRA weights. The LoRA weights won. I've decided to document this. |
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**Training Details** |
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----------------- |
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* Trained on a single RTX 4060 for approximately 1 hour |
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* Utilized 4-bit QLORA for efficient training |
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* Despite the short training period, the model adapted quickly and sometimes produces responses that are **too good** |
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**Original Purpose** |
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This model was originally created for the [Sussy Ducky Bot](https://github.com/DuckyBlender/sussy_ducky_bot) telegram bot. |
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**Prompt Template** |
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The prompt template used for this model is identical to the Phi 3 template. |
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**NSFW Warning** |
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**Please be advised that this model's output may contain explicit or offensive content. Viewer discretion is strongly advised.** |
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Use this model at your own risk, and please engage with the output responsibly. |
