Update README.md

README.md

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 ## 🌟 Key Features
 
-Fine-tuned with 500,000+ high-quality Turkish instructions
-Adapted to Turkish culture and local context
-Built on Google's cutting-edge Gemma architecture
+- Fine-tuned with 500,000+ high-quality Turkish instructions
+- LoRA method was used for fine-tuning without quantization.
+- Adapted to Turkish culture and local context
+- Built on Google's cutting-edge Gemma architecture
 
 📝 Model Details
 The model is the Turkish-speaking member of Google's innovative Gemma model family. This model has been trained using Supervised Fine-Tuning (SFT) on carefully curated high-quality Turkish instructions. Leveraging the foundations of Gemini technology, this model demonstrates superior performance in Turkish language processing tasks.
 
 ## 🔧 Technical Specifications
 
-Architecture: Decoder-only transformer
-Base Model: Google Gemma 2 9B
-Training Data: 500,000+ specially selected Turkish instructions
-Language Support: Turkish (with comprehensive local context understanding) and other common languages.
+- Architecture: Decoder-only transformer
+- Base Model: Google Gemma 2 9B
+- Training Data: 500,000+ specially selected Turkish instructions
+- Language Support: Turkish (with comprehensive local context understanding) and other common languages.
 
 ## 💡 Use Cases