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TopEvolution7RAG GGUF by MaziyarPanahi

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TopEvolution7RAG GGUF Benchmarks

LLME Score: 0.23977
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

TopEvolution7RAG GGUF Parameters and Internals

LLM NameTopEvolution7RAG GGUF
Repository 🤗https://huggingface.co/MaziyarPanahi/TopEvolution7RAG-GGUF 
Model NameTopEvolution7RAG-GGUF
Model Creatormergekit-community
Base Model(s)  mergekit-community/TopEvolution7RAG   mergekit-community/TopEvolution7RAG
Required VRAM2.7 GB
Updated2024-09-18
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
TopEvolution7RAG GGUF (MaziyarPanahi/TopEvolution7RAG-GGUF)

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Note: green Score (e.g. "73.2") means that the model is better than MaziyarPanahi/TopEvolution7RAG-GGUF.

Rank the TopEvolution7RAG GGUF Capabilities

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

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803
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