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--- |
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library_name: transformers |
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license: apache-2.0 |
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base_model: |
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- nbeerbower/Mahou-1.5-mistral-nemo-12B-lorablated |
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datasets: |
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- nbeerbower/Arkhaios-DPO |
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- nbeerbower/Purpura-DPO |
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--- |
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![image/png](https://huggingface.co./nbeerbower/Mistral-Nemo-Prism-12B/resolve/main/prism-cover.png?download=true) |
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> 🧪 **Just Another Model Experiment** |
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> |
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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-Prism-12B-v7 |
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[Mahou-1.5-mistral-nemo-12B-lorablated](https://huggingface.co./nbeerbower/Mahou-1.5-mistral-nemo-12B-lorablated) finetuned on [Arkhaios-DPO](https://huggingface.co./datasets/nbeerbower/Arkhaios-DPO) and [Purpura-DPO](https://huggingface.co./datasets/nbeerbower/Purpura-DPO). |
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The goal was to reduce archaic language and purple prose in a completely uncensored model. |
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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 A40 for 10 epochs. |
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For this version, beta was increased to 2. |
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**In conclusion, LoRA does not seem to be able to completely remove some of the language issues deeply embedded in the model.** |