WizardLM 2 7B GGUF Q4 K M by KLMFOREVER

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  Arxiv:2304.12244   Arxiv:2306.08568   Arxiv:2308.09583   4-bit   Autotrain compatible Base model:microsoft/wizardlm-... Base model:quantized:microsoft...   Endpoints compatible   Gguf   Mistral   Q4   Quantized   Region:fr   Region:us   Safetensors

WizardLM 2 7B GGUF Q4 K M Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
WizardLM 2 7B GGUF Q4 K M (KLMFOREVER/WizardLM-2-7B-GGUF-Q4-K_M)

WizardLM 2 7B GGUF Q4 K M Parameters and Internals

Model Type 
text-generation
Use Cases 
Areas:
text generation
Limitations:
Not suitable for real-time conversation
Considerations:
Supports multi-turn conversation format.
Input Output 
Input Format:
Prompt should be formatted as per Vicuna multi-turn conversation style.
Accepted Modalities:
text
Output Format:
Text-based responses
LLM NameWizardLM 2 7B GGUF Q4 K M
Repository ๐Ÿค—https://huggingface.co/KLMFOREVER/WizardLM-2-7B-GGUF-Q4-K_M 
Model NameWizardLM-2-7B-GGUF
Model Creatormicrosoft
Base Model(s)  microsoft/WizardLM-2-7B   microsoft/WizardLM-2-7B
Model Size7b
Required VRAM4.4 GB
Updated2025-02-22
MaintainerKLMFOREVER
Model Typemistral
Model Files  4.4 GB
GGUF QuantizationYes
Quantization Typegguf|q4
Model ArchitectureAutoModel

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Note: green Score (e.g. "73.2") means that the model is better than KLMFOREVER/WizardLM-2-7B-GGUF-Q4-K_M.

Rank the WizardLM 2 7B GGUF Q4 K M 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 v20241227