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Lorastral-24B
Lorastral-24B is an open-source, child-friendly German language model fine-tuned for safe and engaging educational storytelling. It is optimized for ages 6–12 with age-aligned prompts and structured outputs.
Lorastral-24B is built on Mistral Small 24B and fine-tuned for readability and safety in educational contexts.
Features
- Based on Mistral Small 24B (open-source foundation)
- Age-adaptive outputs for primary school ages
- Child-appropriate language optimized for clarity
- Structured storytelling for learning through narratives
Readability Benchmarks
LORA already outperforms leading models in readability benchmarks for explaining German terms, ensuring content is more accessible to young learners. As the only model capable of differentiating between age groups (6-8 and 8-10 years), LORA delivers precisely tailored educational content:
Model | Flesch Reading Ease ↑ | Wiener Sachtextformel ↓ | Avg Sentence Length ↓ | Avg Word Length ↓ |
---|
Lorastral-24B (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 (higher is more readable) and lower Wiener Sachtextformel (lower is more readable) scores confirm LORA's superior readability for children.
At LORA, we recognize that gender bias in AI systems is a critical issue that needs to be addressed head-on. Many AI models reflect and even amplify real-world biases, including outdated gender stereotypes. For example, AI language models may associate doctors and engineers with men, while assigning roles like nurse and teacher to women. This bias stems from the human-generated data used to train AI. However, we believe AI also presents an opportunity to move beyond human biases and shape a more equitable future. That's why LORA we want to developing trustworthy, ethical AI for children.
Core Team
Supported by
Fachakademie Sozialpädagogik München Mitte / TRUSTIFAI