Update README.md

README.md

@@ -28,7 +28,7 @@ This is a Large Language Model (LLM) fine-tuned to solve sst problems with detai
 - **Fine-tuning Method**: PEFT (Parameter-Efficient Fine-Tuning) with QLoRA
 - **Quantization**: 4-bit quantization for reduced memory usage
 - **Training Framework**: Unsloth, optimized for efficient fine-tuning of large language models
-- **Training Environment**: Google Colab (free tier), NVIDIA T4 GPU (12GB VRAM), 12GB RAM
+- **Training Environment**: Google Colab (free tier), NVIDIA T4 GPU (16GB VRAM), 12GB RAM
 - **Dataset Used**: Combination of ambrosfitz/10k_history_data_v4, adamo1139/basic_economics_questions_ts_test_1, adamo1139/basic_economics_questions_ts_test_2, adamo1139/basic_economics_questions_ts_test_3, adamo1139/basic_economics_questions_ts_test_4
 
 ## Capabilities