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.