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Question Builder by SicariusSicariiStuff

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Model Card on HF 🤗: https://huggingface.co/SicariusSicariiStuff/Question_Builder 

Question Builder Benchmarks

LLME Score: 0.18378
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Question Builder (SicariusSicariiStuff/Question_Builder)

Question Builder Parameters and Internals

Use Cases 
Primary Use Cases:
Creating new datasets for the open-source community
Additional Notes 
This model is designed to assist in creating new datasets and does not answer questions. The best use case is via API with short sentence inputs.
Input Output 
Performance Tips:
Use recommended prompt settings: Debug-deterministic with repetition_penalty 1.2
LLM NameQuestion Builder
Repository 🤗https://huggingface.co/SicariusSicariiStuff/Question_Builder 
Model Size8b
Required VRAM16.1 GB
Updated2025-03-21
MaintainerSicariusSicariiStuff
Model Typellama
Model Files  5.0 GB: 1-of-4   5.0 GB: 2-of-4   4.9 GB: 3-of-4   1.2 GB: 4-of-4
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length8192
Model Max Length8192
Transformers Version4.40.0.dev0
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|end_of_text|>
Vocabulary Size128256
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than SicariusSicariiStuff/Question_Builder.

Rank the Question Builder 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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