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GermanEduScorer Qwen2 1.5B by pL-Community

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  Autotrain compatible   Conversational   De   Endpoints compatible   Qwen2   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/pL-Community/GermanEduScorer-Qwen2-1.5b 

GermanEduScorer Qwen2 1.5B Benchmarks

LLME Score: 0.18396
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
GermanEduScorer Qwen2 1.5B (pL-Community/GermanEduScorer-Qwen2-1.5b)

GermanEduScorer Qwen2 1.5B Parameters and Internals

Model Type 
text-generation
Additional Notes 
The model achieved a highest quality rating close to ~95% for educational content evaluation.
Supported Languages 
German (full)
Training Details 
Data Sources:
cis-lmu/GlotCC-V1
Data Volume:
380k unique entries
Methodology:
ORPO finetune
Context Length:
32000
Model Architecture:
qwen2
LLM NameGermanEduScorer Qwen2 1.5B
Repository 🤗https://huggingface.co/pL-Community/GermanEduScorer-Qwen2-1.5b 
Model Size1.5b
Required VRAM3.1 GB
Updated2025-04-24
MaintainerpL-Community
Model Typeqwen2
Model Files  3.1 GB   0.0 GB
Supported Languagesde
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.41.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than pL-Community/GermanEduScorer-Qwen2-1.5b.

Rank the GermanEduScorer Qwen2 1.5B Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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Release v20241227
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