Model: oscarstories/lorastral24b_0604
Author: oscarstories
Pipeline: text-generation
Library: transformers
Tags: transformers, safetensors, mistral, text-generation, instruct, children, educational, fine-tuned, open-source, child-friendly, german, story-telling, safe-language, NLP, language-model, ai4kids, conversational, de, base_model:mistralai/Mistral-Small-24B-Instruct-2501, base_model:quantized:mistralai/Mistral-Small-24B-Instruct-2501, license:mit, model-index, text-generation-inference, endpoints_compatible, 8-bit, bitsandbytes, region:us
Base models (quantized): id: mistralai/Mistral-Small-24B-Instruct-2501
Card metadata: model-index: name: LORA - Child-Friendly Language Model
results: task: name: AI2 ARC (Easy)
type: multiple-choice
dataset: name: ai2_arc_easy
type: ai2_arc
metrics: name: Accuracy
type: accuracy
value: 0.854
verified: no, name: Normalized Accuracy
type: exact_match
value: 0.861
verified: no, task: name: AI2 ARC (Challenge)
type: multiple-choice
dataset: name: ai2_arc_challenge
type: ai2_arc
metrics: name: Accuracy
type: accuracy
value: 0.625
verified: no, name: Normalized Accuracy
type: exact_match
value: 0.662
verified: no, task: name: Winogrande
type: multiple-choice
dataset: name: winogrande
type: winogrande
metrics: name: Accuracy
type: accuracy
value: 0.762
verified: no
license: mit
library_name: transformers
tags: mistral, instruct, children, educational, fine-tuned, open-source, child-friendly, german, story-telling, safe-language, NLP, language-model, ai4kids
inference: parameters: max_new_tokens: 512
temperature: 0.7
top_p: 0.9
do_sample: yes
model_creator: Oscar Finance / HeyQQ GmbH
model_name: LORA - Child-Friendly Mistral
model_type: causal-language-model
base_model: mistralai/Mistral-Small-24B-Instruct-2501
language: de
finetuned_from: mistralai/Mistral-Small-24B-Instruct-2501
pipeline_tag: text-generation
model_description: LORA is a fine-tuned version of the Mistral Small 24B Instruct model optimized for child-friendly language generation in educational contexts. Built by Oscar Finance, LORA focuses on safe, age-appropriate, and engaging storytelling tailored for children aged 6 to 12.
The model was trained using a curated blend of high-quality open datasets and manually created narratives that reflect pedagogical goals.
Its outputs are filtered for emotional safety, simplicity, and positive tone, making it suitable for use in apps like Oscar, der Geldfuchs.

training: data_preprocessing: All data underwent strict filtering and alignment to ensure:
- Age-appropriateness (CEFR A1–A2 level)
- Positive tone and moral guidance
- Gender-balanced characters and inclusive language

training_regime: bf16 mixed precision
compute_resources: type: NVIDIA H100 x2
memory: 2 x 80 GB HBM3
vram_required: 47.14 GB
throughput: ~7.1k tokens/sec
finetuning_method: supervised fine-tuning (SFT)
training_time: ~100 hours
intended_use: LORA is intended to be used as a child-safe story and dialogue generator for educational applications, story-based learning platforms, and interactive learning tools. It is especially suited for German-language projects but supports English as well.

limitations: While LORA is designed for child-friendly outputs, it may still produce text that requires human moderation in edge cases. It is not suitable for legal, medical, or critical advisory tasks.

ethical_considerations: - Promotes safe, inclusive, and non-violent content
- Avoids biased, gendered, or culturally insensitive material
- Designed with educational partners and child psychologists

authors: name: Dima Rubanov, Matthias Neumayer, Andreas Schaubmaier
affiliation: HeyQQ GmbH
contact: hello@oscarstories.com, name: Oscar Stories Team
references: name: Oscar Stories
url: https://oscarstories.com
model_card_contact: email: hello@oscarstories.com
organization: HeyQQ GmbH
Likes: 2 | All-time downloads: 289
Created: 2025-06-06 12:00:33