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README.md
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## Fine Tuning
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### - PEFT Parameters
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- lora_alpha=64
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## Credits
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- Meta ([https://huggingface.co/meta-llama](https://huggingface.co/meta-llama)): for the original Llama-3;
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- failspy ([https://huggingface.co/failspy](https://huggingface.co/failspy)): for the base model and the orthogonalization implementation;
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- NobodyExistsOnTheInternet ([https://huggingface.co/NobodyExistsOnTheInternet](https://huggingface.co/NobodyExistsOnTheInternet)): for the incredible dataset;
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- Undi95 ([https://huggingface.co/Undi95](https://huggingface.co/Undi95)) and Sao10k ([https://huggingface.co/Sao10K](https://huggingface.co/Sao10K)): my main inspirations for doing these models =]
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## Fine Tuning
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### - Quantization Configuration
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- load_in_4bit=True
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- bnb_4bit_quant_type="fp4"
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- bnb_4bit_compute_dtype=compute_dtype
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- bnb_4bit_use_double_quant=False
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### - PEFT Parameters
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- lora_alpha=64
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## Credits
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- Meta ([https://huggingface.co/meta-llama](https://huggingface.co/meta-llama)): for the original Llama-3;
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- HuggingFace: for hosting this model and for creating the fine-tuning tools;
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- failspy ([https://huggingface.co/failspy](https://huggingface.co/failspy)): for the base model and the orthogonalization implementation;
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- NobodyExistsOnTheInternet ([https://huggingface.co/NobodyExistsOnTheInternet](https://huggingface.co/NobodyExistsOnTheInternet)): for the incredible dataset;
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- Undi95 ([https://huggingface.co/Undi95](https://huggingface.co/Undi95)) and Sao10k ([https://huggingface.co/Sao10K](https://huggingface.co/Sao10K)): my main inspirations for doing these models =]
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