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Math Roberta by uf-aice-lab

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  Autotrain compatible   Education   En   Endpoints compatible   Math learning   Pytorch   Region:us   Roberta
Model Card on HF 🤗: https://huggingface.co/uf-aice-lab/math-roberta 

Math Roberta Benchmarks

LLME Score: 0.001
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Math Roberta (uf-aice-lab/math-roberta)
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Math Roberta Parameters and Internals

Model Type 
NLP
Use Cases 
Areas:
math learning environments
Primary Use Cases:
text classification, semantic search, Q&A
Supported Languages 
en (English)
Training Details 
Data Sources:
Algebra Nation
Data Volume:
3,000,000 math discussion posts
Hardware Used:
8 Nvidia RTX 1080Ti GPUs
LLM NameMath Roberta
Repository 🤗https://huggingface.co/uf-aice-lab/math-roberta 
Required VRAM0 GB
Updated2025-08-22
Maintaineruf-aice-lab
Model Typeroberta
Model Files  2.8 GB   1.4 GB   0.0 GB   0.0 GB
Supported Languagesen
Model ArchitectureRobertaForCausalLM
Licensemit
Context Length514
Model Max Length514
Transformers Version4.11.3
Vocabulary Size50265
Torch Data Typefloat32

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Note: green Score (e.g. "73.2") means that the model is better than uf-aice-lab/math-roberta.

Rank the Math Roberta 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 v20241124
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