This is model is a version of HuggingFaceH4/zephyr-7b-beta fine-tuned via Autotrain Reward Model, using the H4rmony 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 : email@example.com
- Model type: mistral
- Language(s) (NLP): Primarily English
- License: MIT
- Finetuned from model: HuggingFaceH4/zephyr-7b-beta
Intended as PoC to show the effects of H4rmony dataset.
For testing purposes to gain insight in order to help with the continous improvement of the H4rmony dataset.
Its direct use in applications is not recommended as this model is under testing for a specific task only (Ecological Alignment)
Not meant to be used other than testing and evaluation of the H4rmony dataset and ecological alignment.
This model might produce biased completions already existing in the base model, and others unintentionally introduced during fine-tuning.
It can be loaded and run in a Colab instance with High RAM. Code to load base and finetuned models to compare outputs:
Autotrained reward model
H4rmony Dataset - https://huggingface.co/datasets/neovalle/H4rmony
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