Update README.md

README.md

@@ -9,7 +9,6 @@ library_name: transformers
 tags:
 - trl
 - Reinforcement learning
-- Qwen2.5-1B
 ---
 # **Bellatrix-Tiny-1.5B-R1**
 
@@ -58,5 +57,4 @@ Despite its capabilities, Bellatrix has some limitations:
 2. **Dependence on Training Data**: It is only as good as the quality and diversity of its training data, which may lead to biases or inaccuracies.  
 3. **Computational Resources**: The model’s optimized transformer architecture can be resource-intensive, requiring significant computational power for fine-tuning and inference.  
 4. **Language Coverage**: While multilingual, some languages or dialects may have limited support or lower performance compared to widely used ones.  
-5. **Real-World Contexts**: It may struggle with understanding nuanced or ambiguous real-world scenarios not covered during training.
-
+5. **Real-World Contexts**: It may struggle with understanding nuanced or ambiguous real-world scenarios not covered during training.