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Model: neovalle/H4rmoniousBreezeDPO
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---
tags:
- text-generation
license: mit
datasets:
- neovalle/H4rmony_dpo
language:
- en
---
# Model Card for Model neovalle/H4rmoniousBreezeDPO
![image/png](https://cdn-uploads.huggingface.co/production/uploads/64aac16fd4a402e8dce11ebe/tD8ROHaejO5X3mza1HtcV.png)
## Model Details
### Model Description
This is model is a version of HuggingFaceH4/zephyr-7b-beta fine-tuned via DPO, using the H4rmony_dpo dataset, which aims
to better align the model with ecological values through the use of ecolinguistics principles.
- **Developed by:** Jorge Vallego
- **Funded by :** Neovalle Ltd.
- **Shared by :** airesearch@neovalle.co.uk
- **Model type:** mistral
- **Language(s) (NLP):** Primarily English
- **License:** MIT
- **Finetuned from model:** HuggingFaceH4/zephyr-7b-beta
## Uses
Intended as PoC to show the effects of H4rmony_dpo dataset with DPO fine-tuning..
### Direct Use
For testing purposes to gain insight in order to help with the continous improvement of the H4rmony_dpo dataset.
### Downstream Use
Its direct use in applications is not recommended as this model is under testing for a specific task only (Ecological Alignment)
### Out-of-Scope Use
Not meant to be used other than testing and evaluation of the H4rmony dataset and ecological alignment.
## Bias, Risks, and Limitations
This model might produce biased completions already existing in the base model, and others unintentionally introduced during fine-tuning.
## How to Get Started with the Model
It can be loaded and run in a Colab instance with High RAM.
## Training Details
Trained using DPO
### Training Data
H4rmony Dataset - https://huggingface.co/datasets/neovalle/H4rmony_dpo

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---
library_name: peft
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## Training procedure
The following `bitsandbytes` quantization config was used during training:
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- PEFT 0.5.0

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