Update README.md

README.md

@@ -39,13 +39,13 @@ tags:
 EuroBERT is a family of multilingual encoder models designed for a variety of tasks—such as classification, retrieval, or evaluation metrics— supporting 15 languages, mathematics and code, and sequences of up to 8,192 tokens.
 EuroBERT models exhibit the strongest multilingual performance across [domains and tasks](#Evaluation) compared to similarly sized systems.
 
-It is available in the following sizes:
+It is available in 3 sizes:
 
-- [EuroBERT-210m](https://huggingface.co/EuroBERT/EuroBERT-210m) - 12 layers, 210 million parameters
-- [EuroBERT-610m](https://huggingface.co/EuroBERT/EuroBERT-610m) - 26 layers, 610 million parameters
-- [EuroBERT-2.1B](https://huggingface.co/EuroBERT/EuroBERT-2.1B) - 32 layers, 2.1 billion parameters
+- [EuroBERT-210m](https://huggingface.co/EuroBERT/EuroBERT-210m) - 210 million parameters
+- [EuroBERT-610m](https://huggingface.co/EuroBERT/EuroBERT-610m) - 610 million parameters
+- [EuroBERT-2.1B](https://huggingface.co/EuroBERT/EuroBERT-2.1B) - 2.1 billion parameters
 
-For more information about EuroBERT, please refer to the [release blog post](***) for a high-level overview and our [arXiv pre-print](***) for in-depth information.
+For more information about EuroBERT, please check our [blog](***) post and the [arXiv](***) preprint.
 
 ## Usage