Update README.md

README.md

@@ -43,7 +43,7 @@ The model understands the unique challenges, medical realities, and daily life c
 - **Base Model**: teknium/OpenHermes-2.5-Mistral-7B
 - **Training Method**: QLoRA (4-bit quantization with LoRA adapters)
 - **Training Data**: 119,117 total entries (35,779 domain text + 83,337 instruction pairs)
-- **Hardware**: RTX 4070 Super (8GB VRAM)
+- **Hardware**: RTX 4070 Super (12GB VRAM)
 - **Training Time**: ~20 hours total (Phase 1 + Phase 2)
 
 ## Usage
@@ -355,7 +355,7 @@ Training data underwent extensive preprocessing:
 #### Speeds, Sizes, Times
 
 - **Total training time:** ~20 hours (8h Phase 1 + 12h Phase 2)
-- **Hardware:** RTX 4070 Super (8GB VRAM)
+- **Hardware:** RTX 4070 Super (12GB VRAM)
 - **Final model size:** 30MB (LoRA adapter only)
 - **Base model size:** 7B parameters (not included in adapter)
 - **Training throughput:** ~3.5 samples/second average
@@ -415,7 +415,7 @@ Evaluation considered multiple factors:
 
 Training carbon emissions estimated using energy consumption data:
 
-- **Hardware Type:** RTX 4070 Super (8GB VRAM)
+- **Hardware Type:** RTX 4070 Super (12GB VRAM)
 - **Hours used:** ~20 hours total training time
 - **Cloud Provider:** Local training (personal hardware)
 - **Compute Region:** North America
@@ -437,7 +437,7 @@ The use of QLoRA significantly reduced training time and energy consumption comp
 
 #### Hardware
 
-- **GPU:** NVIDIA RTX 4070 Super (8GB VRAM)
+- **GPU:** NVIDIA RTX 4070 Super (12GB VRAM)
 - **CPU:** Modern multi-core processor
 - **RAM:** 32GB system memory
 - **Storage:** NVMe SSD for fast data loading