README.md

---
base_model: nbeerbower/flammen17-py-DPO-v1-7B
datasets:
- jondurbin/py-dpo-v0.1
inference: false
library_name: transformers
license: apache-2.0
merged_models:
- nbeerbower/flammen17-mistral-7B
pipeline_tag: text-generation
quantized_by: Suparious
tags:
- 4-bit
- AWQ
- text-generation
- autotrain_compatible
- endpoints_compatible
- experimental
---
# nbeerbower/flammen17-py-DPO-v1-7B AWQ

- Model creator: [nbeerbower](https://huggingface.co/nbeerbower)
- Original model: [flammen17-py-DPO-v1-7B](https://huggingface.co/nbeerbower/flammen17-py-DPO-v1-7B)

![image/png](https://huggingface.co/nbeerbower/flammen13X-mistral-7B/resolve/main/flammen13x.png)

## Model Summary

A Mistral 7B LLM built from merging pretrained models and finetuning on [Jon Durbin](https://huggingface.co/jondurbin)'s [py-dpo-v0.1](https://huggingface.co/datasets/jondurbin/py-dpo-v0.1).

Finetuned using an A100 on Google Colab. 🙏

[Fine-tune a Mistral-7b model with Direct Preference Optimization](https://towardsdatascience.com/fine-tune-a-mistral-7b-model-with-direct-preference-optimization-708042745aac) - [Maxime Labonne](https://huggingface.co/mlabonne)