README.md

---
license: mit
language:
- de
base_model:
- mistralai/Mistral-7B-Instruct-v0.3
tags:
- children
- readability
---

# 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 for eplaining german terms, 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, it may also producte non-coherent output. 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.