update readme

README.md

@@ -13,12 +13,56 @@ base_model: unsloth/gemma-2b-it-bnb-4bit
 
 # Uploaded  model
 
-- **Developed by:** somosnlp
-- **License:** apache-2.0
-- **Finetuned from model :** unsloth/gemma-2b-it-bnb-4bit
+<!-- Resumen del modelo. -->
+
+- **Developed by:**  rovi27, sbenel, GaboTuco, iXrst, andreamorgar
+- **Funded by:** SomosNLP, HuggingFace 
+- **Model type:** Language model, instruction tuned
+- **Language(s):** `es-CL`, `es-ES`, `es-MX`,  `es-PE`
+- **License:** apache-2.0 
+- **Fine-tuned from model:** https://huggingface.co/unsloth/gemma-2b-bnb-4bit
+- **Dataset used:** [More Information Needed] <!-- Enlace al dataset utilizado para el ajuste -->
+
+### Model Sources
+
+- **Repository:** https://github.com/recetasdelaabuela/somosnlp
+- **Paper:** Comming soon!
+- **Demo:** https://huggingface.co/spaces/somosnlp/ComeBien_Demo
+- **Video presentation:** https://www.youtube.com/watch?v=WK-1F1TX5d4&list=PLTA-KAy8nxaASMwEUWkkTfMaDxWBxn-8J&index=19
 
 This gemma model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
 
 More info in https://huggingface.co/datasets/somosnlp/RecetasDeLaAbuela
 
+
+## Uses
+
+This models aims to provide a tool to improve healthy cooking habits.
+
+### Direct Use
+
+Enhance recipes from Spanish-speaking countries with their nutritional values to help improve our relationship with food. 
+The ultimate goal is to construct a Spanish-language specific intelligent nutrition assistant."
+
+
+### Out-of-Scope Use
+
+This model will not work well for nutrititional needs from under-represented areas, as well as recipes in other languages rather than Spanish.
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+This model has been trained using the data provided in the training dataset without the supervision of nutrition experts. 
+Please use it wisely and always consider the recommendations and guidelines from international health foundations. 
+
+The model has been trained with recipes in Spanish from different areas of the world. 
+Therefore, there can be biases regarding overrepresented areas, and some geographical areas may not be under-representation. 
+We encourage the open-source community to collaborate in improving the dataset to cover as many geographic areas as possible!
+
+### Recommendations
+
+Users should be made aware of the risks, biases and limitations of the model. 
+
+
 [<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)