---
license: apache-2.0
library_name: transformers
base_model:
- nbeerbower/mistral-nemo-kartoffel-PRUNE3
datasets:
  - nbeerbower/GreatFirewall-DPO
  - nbeerbower/Schule-DPO
  - nbeerbower/Purpura-DPO
  - nbeerbower/Arkhaios-DPO
  - jondurbin/truthy-dpo-v0.1
  - antiven0m/physical-reasoning-dpo
  - flammenai/Date-DPO-NoAsterisks
  - flammenai/Prude-Phi3-DPO
  - Atsunori/HelpSteer2-DPO
  - jondurbin/gutenberg-dpo-v0.1
  - nbeerbower/gutenberg2-dpo
  - nbeerbower/gutenberg-moderne-dpo
---
> 🧪 **Experimental**
>
> An attempt to recover intelligence with a quick train, results are meh

# Dumpling-Mistral-Nemo-8B

[nbeerbower/mistral-nemo-kartoffel-PRUNE3](https://huggingface.co/nbeerbower/mistral-nemo-kartoffel-PRUNE3) finetuned on: 
* [nbeerbower/GreatFirewall-DPO](https://huggingface.co/datasets/nbeerbower/GreatFirewall-DPO)
* [nbeerbower/Schule-DPO](https://huggingface.co/datasets/nbeerbower/Schule-DPO)
* [nbeerbower/Purpura-DPO](https://huggingface.co/datasets/nbeerbower/Purpura-DPO)
* [nbeerbower/Arkhaios-DPO](https://huggingface.co/datasets/nbeerbower/Arkhaios-DPO)
* [jondurbin/truthy-dpo-v0.1](https://huggingface.co/datasets/jondurbin/truthy-dpo-v0.1)
* [antiven0m/physical-reasoning-dpo](https://huggingface.co/datasets/antiven0m/physical-reasoning-dpo)
* [flammenai/Date-DPO-NoAsterisks](https://huggingface.co/datasets/flammenai/Date-DPO-NoAsterisks)
* [flammenai/Prude-Phi3-DPO](https://huggingface.co/datasets/flammenai/Prude-Phi3-DPO)
* [Atsunori/HelpSteer2-DPO](https://huggingface.co/datasets/Atsunori/HelpSteer2-DPO) (1,000 samples)
* [jondurbin/gutenberg-dpo-v0.1](https://huggingface.co/datasets/jondurbin/gutenberg-dpo-v0.1)
* [nbeerbower/gutenberg2-dpo](https://huggingface.co/datasets/nbeerbower/gutenberg2-dpo)
* [nbeerbower/gutenberg-moderne-dpo](https://huggingface.co/datasets/nbeerbower/gutenberg-moderne-dpo).

### Method

[QLoRA ORPO tune](https://mlabonne.github.io/blog/posts/2024-04-19_Fine_tune_Llama_3_with_ORPO.html) with 2x RTX 3090 for 2 epochs.