Llama 3 Refueled AWQ by solidrust

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Llama 3 Refueled AWQ Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 3 Refueled AWQ (solidrust/Llama-3-Refueled-AWQ)

Llama 3 Refueled AWQ Parameters and Internals

Model Type 
text-generation
Additional Notes 
AWQ models are optimized with 4-bit weight quantization method, providing efficient and fast inference mainly on NVidia GPUs.
Input Output 
Input Format:
tokens
Accepted Modalities:
text
Output Format:
generated text
LLM NameLlama 3 Refueled AWQ
Repository ๐Ÿค—https://huggingface.co/solidrust/Llama-3-Refueled-AWQ 
Base Model(s)  Llama 3 Refueled   refuelai/Llama-3-Refueled
Model Size2b
Required VRAM5.8 GB
Updated2025-01-15
Maintainersolidrust
Model Typellama
Model Files  4.7 GB: 1-of-2   1.1 GB: 2-of-2
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureLlamaForCausalLM
Context Length8192
Model Max Length8192
Transformers Version4.40.2
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than solidrust/Llama-3-Refueled-AWQ.

Rank the Llama 3 Refueled 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 v20241227