Update README.md

README.md

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 tags:
 - children
 - readability
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+---
+
+# Lorastral-7B-2024-02-exp (Experimental)  
+
+**Lorastral-7B-2024-02-exp** is an experimental **child-friendly AI model** designed to provide **bias-reduced, age-appropriate** language for educational and storytelling applications. Fine-tuned on a carefully curated dataset with input from educators, LORA aims to make **STEM learning engaging and inclusive** for young learners.  
+
+### 🚀 Features  
+- **Bias-Reduced**: Designed to minimize gender and cultural stereotypes.  
+- **Optimized for Kids**: Uses child-appropriate language and educational content.  
+- **Interactive Storytelling**: Supports engaging, personalized narratives for learning.  
+
+### 📊 Benchmark Performance  
+LORA already outperforms leading models in **readability** benchmarks, ensuring content is more accessible to young learners:  
+
+| Model | Flesch Reading Ease ↑ | Wiener Sachtextformel ↓ | Avg Sentence Length ↓ | Avg Word Length ↓ |  
+|--------|----------------------|----------------------|--------------------|----------------|  
+| **Lorastral-8B (LORA)** | **80.24** | **2.70** | **9.06** | **1.39** |  
+| Mistral-8B | 71.70 | 4.22 | 14.92 | 1.42 |  
+| GPT-4o | 77.17 | 3.09 | 13.89 | 1.37 |  
+| Gemini 1.5 Pro | 80.36 | 2.73 | 12.94 | 1.34 |  
+| Claude 3.5 Sonnet | 44.34 | 8.83 | 42.29 | 1.41 |  
+
+Higher **Flesch Reading Ease** and lower **Wiener Sachtextformel** scores confirm LORA’s superior readability for children.  
+
+### ⚠️ Experimental Status  
+This is an early version and may still exhibit biases or limitations. We welcome feedback from educators, parents, and researchers to improve future iterations.  
+
+### 🔗 Get Involved  
+We encourage community contributions! If you have insights, feedback, or dataset recommendations, please reach out.