Update README.md

README.md

@@ -43,11 +43,11 @@ We have published a comprehensive [report](https://arxiv.org/pdf/2501.13944) wit
 ## Model Training
 
 #### Pretraining
-Fanar was continually pretrained on 1T tokens, with a balanced focus on Arabic and English: ~515B English tokens from a carefully curated subset of the [Dolma](https://huggingface.co/datasets/allenai/dolma) dataset, 410B Arabic tokens that we collected, parsed, and flitered from a variety of sources, 102B code tokens curated from [The Stack](https://github.com/bigcode-project/the-stack-v2) dataset. Our codebase used the [LitGPT](https://github.com/Lightning-AI/litgpt) framework. 
+Fanar-1-9B was continually pretrained on 1T tokens, with a balanced focus on Arabic and English: ~515B English tokens from a carefully curated subset of the [Dolma](https://huggingface.co/datasets/allenai/dolma) dataset, 410B Arabic tokens that we collected, parsed, and flitered from a variety of sources, 102B code tokens curated from [The Stack](https://github.com/bigcode-project/the-stack-v2) dataset. Our codebase used the [LitGPT](https://github.com/Lightning-AI/litgpt) framework. 
 
 ## Getting Started
 
-Fanar is compatible with the Hugging Face `transformers` library (≥ v4.40.0). Here's how to load and use the model:
+Fanar-1-9B is compatible with the Hugging Face `transformers` library (≥ v4.40.0). Here's how to load and use the model:
 
 ```python
 from transformers import AutoTokenizer, AutoModelForCausalLM