Update README.md

README.md

@@ -22,7 +22,6 @@ metrics:
 ##  Training Results
 - **Training Samples**: 19,480 (SQL analytics + technical conversations)
 - **Hardware**: NVIDIA 4x A10G GPU (96GB VRAM)
-- **Framework**: Unsloth optimization (2x speedup)
 
 ## 📋 Model Description
 This is a high-performance fine-tuned version of **Meta-Llama-3.1-8B-Instruct**, specifically optimized for:
@@ -86,8 +85,6 @@ print(response)
 | **Final Loss** | 0.0508 |
 | **Loss Reduction** | **96.7%** |
 | **Training Time** | 8.9 hours |
-| **GPU Utilization** | ~90% (A10G) |
-| **Memory Usage** | 18-22GB VRAM |
 
 ## 🎯 Use Cases
 - **SQL Generation**: Create complex queries from natural language
@@ -113,9 +110,7 @@ The model was trained on a curated dataset of **19,480 high-quality examples** i
 This model inherits the **Llama 3.1 license** from the base model. Please review the [official license](https://github.com/meta-llama/llama-models/blob/main/models/llama3_1/LICENSE) for usage terms.
 
 ## 🙏 Acknowledgments
-- Built with [Unsloth](https://github.com/unslothai/unsloth) for optimized training
 - Based on Meta's Llama 3.1 8B Instruct model
-- Trained on NVIDIA A10G GPU infrastructure
 
 ## 📈 Model Card Contact
 For questions about this model, please open an issue in the repository or contact the model author.