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README.md
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- nbeerbower/gutenberg-moderne-dpo
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base_model:
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- nbeerbower/Mahou-1.5-mistral-nemo-12B-lorablated
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- nbeerbower/gutenberg-moderne-dpo
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base_model:
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- nbeerbower/Mahou-1.5-mistral-nemo-12B-lorablated
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![image/png](https://huggingface.co/nbeerbower/MN-Moderne-EXPERIMENT/resolve/main/moderne-fft-cover.png?download=true)
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> 🧪 **Just Another Model Experiment**
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> This is one of many experimental iterations I'm sharing publicly while I mess around with training parameters and ideas. It's not a "real" release - just me being transparent about my learning process. Feel free to look under the hood, but don't expect anything production-ready!
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# Mistral-Nemo-Moderne-12B-FFT-experimental
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[Mahou-1.5-mistral-nemo-12B-lorablated](https://huggingface.co/nbeerbower/Mahou-1.5-mistral-nemo-12B-lorablated) finetuned on [gutenberg2-dpo](https://huggingface.co/datasets/nbeerbower/gutenberg2-dpo) and [gutenberg-moderne-dpo](https://huggingface.co/datasets/nbeerbower/gutenberg-moderne-dpo).
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**This model has erratic behavior and poor performance**
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### Method
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[ORPO tuned](https://mlabonne.github.io/blog/posts/2024-04-19_Fine_tune_Llama_3_with_ORPO.html) with 8x A100 for 1.5 epochs.
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This was a full finetune. I think the issues with the model can be chalked up to conflicts with Mistral Instruct and ChatML.
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