Update README.md

README.md

@@ -25,27 +25,32 @@ This modelcard aims to be a base template for new models. It has been generated
 
 ### Model Description
 
-<!-- Provide a longer summary of what this model is. -->
-
+TowerInstruct is a language model that results from fine-tuning TowerBase on the TowerBricks supervised fine-tuning dataset. TowerInstruct v0.1 is the first model in the series. 
+The model is trained to handle several translation-related tasks, such as general machine translation (e.g., sentence- and document-level translation, terminology-aware translation, context-aware translation), automatic post edition, named-entity recognition, gramatical error correction, and paraphrase generation. 
+We will release more details in the upcoming technical report.
 
 
 - **Developed by:** Unbabel, Instituto Superior Técnico, CentraleSupélec University of Paris-Saclay 
-- **Model type:** [More Information Needed]
-- **Language(s) (NLP):** [More Information Needed]
+- **Model type:** A 7B parameter model fine-tuned on a mix of publicly available, synthetic datasets on translation-related tasks, as well as conversational datasets and code instructions.
+- **Language(s) (NLP):** English, Portuguese, Spanish, French, German, Dutch, Italian, Korean, Chinese, Russian
 - **License:** CC-BY-NC-4.0
-- **Finetuned from model [optional]:** LLaMA2
-
-### Model Sources [optional]
-
-<!-- Provide the basic links for the model. -->
-
-- **Repository:** TBA
-- **Paper [optional]:** TBA
-- **Demo [optional]:** TBA
-
-## Uses
-
-<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+- **Finetuned from model [optional]:** TowerBase
+
+## Intended uses & limitations
+
+The model was initially fine-tuned on a filtered and preprocessed supervised fine-tuning dataset (TowerBricks), which contains a diverse range of data sources:
+- Translation
+- Automatic Post Edition
+- Machine Translation Evaluation
+- Context-aware Translation
+- Terminology-aware Translation
+- Multi-reference Translation
+- Named-entity Recognition
+- Paraphrase Generation
+- Synthetic Chat data 
+- Code instructions
+
+You can find the dataset and all data sources of TowerBricks here.
 
 ### Direct Use