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Llama 3 8B LexiFun Uncensored V1 AWQ by bartowski

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Llama 3 8B LexiFun Uncensored V1 AWQ Benchmarks

LLME Score: 0.21183
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Llama 3 8B LexiFun Uncensored V1 AWQ Parameters and Internals

LLM NameLlama 3 8B LexiFun Uncensored V1 AWQ
Repository 🤗https://huggingface.co/bartowski/Llama-3-8B-LexiFun-Uncensored-V1-AWQ 
Base Model(s)  ...ama 3 8B LexiFun Uncensored V1   Orenguteng/Llama-3-8B-LexiFun-Uncensored-V1
Model Size8b
Required VRAM5.8 GB
Updated2024-09-19
Maintainerbartowski
Model Typellama
Model Files  4.7 GB: 1-of-2   1.1 GB: 2-of-2
Supported Languagesen
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length8192
Model Max Length8192
Transformers Version4.38.2
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|end_of_text|>
Vocabulary Size128256
Torch Data Typefloat16
Llama 3 8B LexiFun Uncensored V1 AWQ (bartowski/Llama-3-8B-LexiFun-Uncensored-V1-AWQ)

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Note: green Score (e.g. "73.2") means that the model is better than bartowski/Llama-3-8B-LexiFun-Uncensored-V1-AWQ.

Rank the Llama 3 8B LexiFun Uncensored V1 AWQ 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 v2024072803
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