NeuralOmniBeagle 7B GGUF by MaziyarPanahi

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  Arxiv:1910.09700   2-bit   3-bit   4-bit   5-bit   6-bit   8-bit   Autotrain compatible Base model:mlabonne/neuralomni... Base model:mlabonne/omnibeagle... Base model:quantized:mlabonne/...   Endpoints compatible   Gguf   Mistral   Quantized   Region:us   Safetensors

NeuralOmniBeagle 7B GGUF Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
NeuralOmniBeagle 7B GGUF (MaziyarPanahi/NeuralOmniBeagle-7B-GGUF)

NeuralOmniBeagle 7B GGUF Parameters and Internals

Model Type 
text-generation
LLM NameNeuralOmniBeagle 7B GGUF
Repository ๐Ÿค—https://huggingface.co/MaziyarPanahi/NeuralOmniBeagle-7B-GGUF 
Model NameNeuralOmniBeagle-7B-GGUF
Model Creatormlabonne
Base Model(s)  NeuralOmniBeagle 7B   mlabonne/NeuralOmniBeagle-7B
Model Size7b
Required VRAM2.7 GB
Updated2024-12-23
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

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Note: green Score (e.g. "73.2") means that the model is better than MaziyarPanahi/NeuralOmniBeagle-7B-GGUF.

Rank the NeuralOmniBeagle 7B 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  
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 v20241217