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---
library_name: transformers
license: apache-2.0
base_model:
- nbeerbower/Mahou-1.5-mistral-nemo-12B-lorablated
datasets:
- nbeerbower/Arkhaios-DPO
- nbeerbower/Purpura-DPO
---

![image/png](https://huggingface.co/nbeerbower/Mistral-Nemo-Prism-12B/resolve/main/prism-cover.png?download=true)

> 🧪 **Just Another Model Experiment**
>
> 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!

# Mistral-Nemo-Prism-12B-v7

[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).

The goal was to reduce archaic language and purple prose in a completely uncensored model.

### Method

[ORPO tuned](https://mlabonne.github.io/blog/posts/2024-04-19_Fine_tune_Llama_3_with_ORPO.html) with 8x A40 for 10 epochs.

For this version, beta was increased to 2.

**In conclusion, LoRA does not seem to be able to completely remove some of the language issues deeply embedded in the model.**