MetaMath Cybertron Starling GGUF by MaziyarPanahi

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MetaMath Cybertron Starling GGUF Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
MetaMath Cybertron Starling GGUF (MaziyarPanahi/MetaMath-Cybertron-Starling-GGUF)
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MetaMath Cybertron Starling GGUF Parameters and Internals

Model Type 
text-generation
Additional Notes 
This model can be utilized in multiple quantized formats; supports GGUF with guidance on implementing performance improvements.
Supported Languages 
en (Proficient)
LLM NameMetaMath Cybertron Starling GGUF
Repository ๐Ÿค—https://huggingface.co/MaziyarPanahi/MetaMath-Cybertron-Starling-GGUF 
Model NameMetaMath-Cybertron-Starling-GGUF
Model CreatorQ-bert
Base Model(s)  MetaMath Cybertron Starling   Q-bert/MetaMath-Cybertron-Starling
Model Size7b
Required VRAM2.7 GB
Updated2025-08-19
MaintainerMaziyarPanahi
Model Typemistral
Model Files  2.7 GB   3.8 GB   3.5 GB   3.2 GB   4.4 GB   4.1 GB   5.1 GB   5.0 GB   5.9 GB   7.7 GB
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureAutoModel
Licenseapache-2.0

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Note: green Score (e.g. "73.2") means that the model is better than MaziyarPanahi/MetaMath-Cybertron-Starling-GGUF.

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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 v20241124