Update README.md

README.md

@@ -14,14 +14,24 @@ pipeline_tag: text-generation
 ## Model Description
 Dravik is a specialized fine-tuned version of Mistral-7B designed specifically for generating adversarial prompts to test LLM safety systems. It helps security researchers systematically evaluate content filtering mechanisms and safety boundaries.
 
-## Technical Specifications
+
+## Model Details
 - **Base Model**: Mistral-7B
-- **Training**: LoRA fine-tuning with 4-bit quantization
-- **Hardware Requirements**:
+- **Specialization**: Security Research & Analysis
+- **Architecture**: Original Mistral with LoRA adaptation
+- **Fine-tuning Method**: QLoRA (4-bit quantization)
+
+## Hardware Requirements**:
   - GPU: 6GB VRAM minimum
-  - RAM: 16GB minimum
+  - RAM: 24GB minimum
   - CPU: Multi-core processor
 
+## Usage
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+model = AutoModelForCausalLM.from_pretrained("karanxa/Dravik")
+tokenizer = AutoTokenizer.from_pretrained("karanxa/Dravik")
+
 ## Intended Use
 This model is strictly for:
 - Security research testing of LLM safety mechanisms