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Ognoexperiment27Multi Verse Model 7B GGUF by MaziyarPanahi

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  2-bit   3-bit   4-bit   5-bit   6-bit   8-bit   Automerger   Autotrain compatible Base model:ammarali32/multi ve... Base model:automerger/ognoexpe... Base model:quantized:automerge...   Endpoints compatible   Gguf   Lazymergekit   Merge   Mergekit   Mistral   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/MaziyarPanahi/Ognoexperiment27Multi_verse_model-7B-GGUF 

Ognoexperiment27Multi Verse Model 7B GGUF Benchmarks

LLME Score: 0.16877
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Ognoexperiment27Multi Verse Model 7B GGUF (MaziyarPanahi/Ognoexperiment27Multi_verse_model-7B-GGUF)

Ognoexperiment27Multi Verse Model 7B GGUF Parameters and Internals

Model Type 
text-generation
Additional Notes 
The model is quantized using Maziyar Panahi's approach with support for GGUF format introduced by the llama.cpp team.
Supported Languages 
en (proficient)
LLM NameOgnoexperiment27Multi Verse Model 7B GGUF
Repository 🤗https://huggingface.co/MaziyarPanahi/Ognoexperiment27Multi_verse_model-7B-GGUF 
Model NameOgnoexperiment27Multi_verse_model-7B-GGUF
Model Creatorautomerger
Base Model(s)  ...periment27Multi Verse Model 7B   automerger/Ognoexperiment27Multi_verse_model-7B
Model Size7b
Required VRAM2.7 GB
Updated2025-05-15
MaintainerMaziyarPanahi
Model Typemistral
Model Files  3.0 GB   3.9 GB   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
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureAutoModel

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Rank the Ognoexperiment27Multi Verse Model 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  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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