Update README with comprehensive system requirements and performance expectations

- Added detailed memory and storage requirements for optimal performance.
- Included hardware compatibility information across various platforms.
- Documented device categories and their respective performance metrics.
- Specified software dependencies for core and optional packages to aid setup.

README.md

@@ -112,10 +112,54 @@ print(response)
 
 ### 🔧 **System Requirements**
 
+#### **💾 Memory Requirements**
 - **Minimum RAM**: 21GB (base model + LoRA adapter + working memory)
-- **Recommended**: 48GB+ for optimal performance
-- **Storage**: 182MB (LoRA adapter only) + 16GB (base model)
-- **GPU**: Optional, CPU-optimized for Apple Silicon and x86
+- **Recommended RAM**: 48GB+ for optimal performance and concurrent operations
+- **Sweet Spot**: 32GB+ provides excellent performance for most use cases
+
+#### **💿 Storage Requirements**
+- **LoRA Adapter**: 182MB (this model)
+- **Base Model**: ~16GB (Qwen3-8B, downloaded separately)
+- **Cache & Dependencies**: ~2-3GB (transformers, tokenizers, PyTorch)
+- **Total Storage**: ~19GB for complete setup
+
+#### **🖥️ Hardware Compatibility**
+
+| **Platform**                 | **Status**  | **Performance**   | **Notes**                    |
+| ---------------------------- | ----------- | ----------------- | ---------------------------- |
+| **Apple Silicon (M1/M2/M3)** | ✅ Excellent | Fast inference    | CPU-optimized, MPS supported |
+| **Intel/AMD x86-64**         | ✅ Excellent | Good performance  | 16+ cores recommended        |
+| **NVIDIA GPU**               | ✅ Optimal   | Fastest inference | RTX 4090/5090, A100, H100    |
+| **AMD GPU**                  | ⚠️ Limited   | Basic support     | ROCm required, experimental  |
+
+#### **📱 Device Categories**
+
+| **Device Type**     | **RAM** | **Performance** | **Use Case**                |
+| ------------------- | ------- | --------------- | --------------------------- |
+| **High-end Laptop** | 32-64GB | 🟢 Excellent     | Development, personal use   |
+| **Workstation**     | 64GB+   | 🟢 Optimal       | Team deployment, production |
+| **Cloud Instance**  | 32GB+   | 🟢 Scalable      | API serving, multiple users |
+| **Entry Laptop**    | 16-24GB | 🟡 Limited       | Light testing only          |
+
+#### **⚡ Performance Expectations**
+
+- **Loading Time**: 30-90 seconds (depending on hardware)
+- **First Response**: 60-120 seconds (model warming)
+- **Subsequent Responses**: 30-60 seconds average
+- **Tokens per Second**: 2-5 tokens/sec (CPU), 10-20 tokens/sec (GPU)
+
+#### **🔧 Software Dependencies**
+```bash
+# Core requirements
+torch>=2.0.0
+transformers>=4.35.0
+peft>=0.5.0
+
+# Optional but recommended
+accelerate>=0.24.0
+bitsandbytes>=0.41.0  # For quantization
+flash-attn>=2.0.0     # For GPU optimization
+```
 
 ### 🏅 **Strengths & Use Cases**