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WizardLM 7B Uncensored GPTQ by 4bit

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  4bit   Autotrain compatible Dataset:ehartford/wizardlm alp...   Gptq   Instruct   Llama   Quantized   Region:us   Uncensored

WizardLM 7B Uncensored GPTQ Benchmarks

LLME Score: 0.1169
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

WizardLM 7B Uncensored GPTQ Parameters and Internals

LLM NameWizardLM 7B Uncensored GPTQ
Repository 🤗https://huggingface.co/4bit/WizardLM-7B-uncensored-GPTQ 
Base Model(s)  WizardLM 7B Uncensored   cognitivecomputations/WizardLM-7B-Uncensored
Model Size7b
Required VRAM3.9 GB
Updated2024-09-19
Maintainer4bit
Model Typellama
Instruction-BasedYes
Model Files  3.9 GB
GPTQ QuantizationYes
Quantization Typegptq|4bit
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length2048
Model Max Length2048
Transformers Version4.29.0.dev0
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32001
Torch Data Typefloat16
WizardLM 7B Uncensored GPTQ (4bit/WizardLM-7B-uncensored-GPTQ)

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Note: green Score (e.g. "73.2") means that the model is better than 4bit/WizardLM-7B-uncensored-GPTQ.

Rank the WizardLM 7B Uncensored GPTQ Capabilities

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Instruction Following and Task Automation  
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Censorship and Alignment  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803
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