Update README.md

README.md

@@ -33,6 +33,20 @@ datasets:
 
 ## Introduction
 
+This model is an effort in order to make a multi-lingual and _on device_ models which can be executed on the consumer hardware. The model follows the steps used in training _DeepSeek_ model. However, the model is _not a reasoning model_ and a generic question answering, conversational and _uncensored_ model which has been made with a cost of around $4000 USD. 
+
+If you're curious about the model you also can see our [GitHub](https://github.com/mann-e/hormoz) and learn more about the benchmarks and costs. 
+
+Also, this model is based on _Command R_'s architecture, since that architecture gave us the best results in multilingual chat. Specially with languages such as _Persian_ and _Arabic_. This way, you can consider this model like a commercially useaeble version of _aya expanse_ as well.
+
+### The name
+
+<p align="center">
+  <img src="https://github.com/Mann-E/hormoz/blob/main/hormoz-logo.png?raw=true" width=768px />
+</p>
+
+The name __Hormoz__ comes from the Persian word "هرمز" which has multiple meanings. It can point to the _strait of Hormoz_ in Persian Gulf or _Hormoz Island_ which is part of the Hormozgan Province in the south of Iran. Also it may point to "اورمزد" or _Ourmozd_ which is middle/ancient Persian name for the planet _Jupiter_ and derived from the term _Ahura Mazda_ or the Avestan term for God. 
+
 ## How to run (transformers)
 
 ### Install transformers
@@ -64,4 +78,12 @@ gen_tokens = model.generate(
 
 gen_text = tokenizer.decode(gen_tokens[0])
 print(gen_text)
-```
+```
+
+## License 
+
+This model is published under _MIT_ license. 
+
+### Commercial Use 
+
+Since this model is MIT licensed, you're free to do whatever you want with the model. However since we're a relatively small startup, we recommend you if you are a big corporate and you host this model, give us a capacity of your API as well. This way, we both can benefit from the model.