WizardLM 2 7B GGUF by MaziyarPanahi

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  Arxiv:2304.12244   Arxiv:2306.08568   Arxiv:2308.09583   2-bit   3-bit   4-bit   5-bit   6-bit   8-bit   Autotrain compatible Base model:microsoft/wizardlm-... Base model:quantized:microsoft...   Endpoints compatible   Gguf   Mistral   Quantized   Region:us   Safetensors

WizardLM 2 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").
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WizardLM 2 7B GGUF Parameters and Internals

Model Type 
text-generation
Use Cases 
Areas:
Research, Commercial applications
Applications:
Writing, Coding, Math, Reasoning, Multilingual applications
Primary Use Cases:
Multilingual support, Text generation
Limitations:
None specified
Supported Languages 
Multilingual (High proficiency)
Training Details 
Methodology:
Fully AI powered synthetic training system
LLM NameWizardLM 2 7B GGUF
Repository ๐Ÿค—https://huggingface.co/MaziyarPanahi/WizardLM-2-7B-GGUF 
Model NameWizardLM-2-7B-GGUF
Model Creatormicrosoft
Base Model(s)  microsoft/WizardLM-2-7B   microsoft/WizardLM-2-7B
Model Size7b
Required VRAM2.7 GB
Updated2025-06-09
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   7.7 GB   14.5 GB
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureAutoModel
WizardLM 2 7B GGUF (MaziyarPanahi/WizardLM-2-7B-GGUF)

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Note: green Score (e.g. "73.2") means that the model is better than MaziyarPanahi/WizardLM-2-7B-GGUF.

Rank the WizardLM 2 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 v20241124