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WizardLM 7B GPTQ by TheBloke

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  4-bit   Autotrain compatible   Gptq   Llama   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/TheBloke/wizardLM-7B-GPTQ 

WizardLM 7B GPTQ Benchmarks

LLME Score: 0.09869
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
WizardLM 7B GPTQ (TheBloke/wizardLM-7B-GPTQ)

WizardLM 7B GPTQ Parameters and Internals

Model Type 
llama, GPTQ
Additional Notes 
Quantization parameters can be adjusted for varied inference quality and VRAM usage.
Supported Languages 
English (fluent)
Training Details 
Hardware Used:
Latitude.sh hardware
Input Output 
Input Format:
Custom prompt format
Accepted Modalities:
text
Output Format:
Text response
Performance Tips:
Optimize quantization parameters for specific hardware for best performance.
Release Notes 
Version:
V1.0
Notes:
Different quantization parameters provided for optimization with diverse hardware
LLM NameWizardLM 7B GPTQ
Repository 🤗https://huggingface.co/TheBloke/wizardLM-7B-GPTQ 
Model Size7b
Required VRAM4.5 GB
Updated2025-04-26
MaintainerTheBloke
Model Typellama
Model Files  4.5 GB
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length2048
Model Max Length2048
Transformers Version4.28.1
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32001
Torch Data Typefloat32

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/wizardLM-7B-GPTQ.

Rank the WizardLM 7B GPTQ 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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Release v20241227
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