Update README.md

README.md

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 - dpo
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+# Model Details
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/64aac16fd4a402e8dce11ebe/ERb9aFX_yeDlmqqnvQHF_.png)
+
+# Model Description
+
 This model is based on teknium/OpenHermes-2.5-Mistral-7B, DPO fine-tuned with the H4rmony_dpo dataset.
-Its completions should be more ecologically aware than the base model.
+Its completions should be more ecologically aware than the base model.
+
+    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: teknium/OpenHermes-2.5-Mistral-7B
+    Methodology: DPO
+
+# 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_dpo 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