Update README.md

README.md

@@ -16,7 +16,6 @@ datasets:
 
 ## Intended uses & limitations
 #### How to use
-You can use this model with Transformers.
 
 ```python
 
@@ -44,15 +43,27 @@ response = tokenizer.decode(output_ids[0][input_ids.shape[1]:], skip_special_tok
 print(response)
 ```
 
-## Eval results
+
+#### Example outputs
+
+```
+Ilana (Instruction): '...'
+
+mistral_7b_yo_instruct: '...'
+```
+
+#### Eval results
 Coming soon
 
 #### Limitations and bias
 This model is limited by its training dataset of entity-annotated news articles from a specific span of time. This may not generalize well for all use cases in different domains.  
 
-## Training data
+#### Training data
 This model is fine-tuned on 60k+ instruction-following demonstrations built from an aggregation of datasets ([AfriQA](https://huggingface.co/datasets/masakhane/afriqa), [XLSum](https://huggingface.co/datasets/csebuetnlp/xlsum), [MENYO-20k](https://huggingface.co/datasets/menyo20k_mt)), and translations of [Alpaca-gpt4](https://huggingface.co/datasets/vicgalle/alpaca-gpt4)).
 
+### Use and safety
+We emphasize that mistral_7b_yo_instruct is intended only for research purposes and is not ready to be deployed for general use, namely because we have not designed adequate safety measures.
+
 ### BibTeX entry and citation info
 ```
 @article{