Llama 3 8B Instruct AWQ by casperhansen

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  4-bit   Autotrain compatible   Awq   Conversational   Endpoints compatible   Instruct   Llama   Quantized   Region:us   Safetensors   Sharded   Tensorflow

Llama 3 8B Instruct 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 8B Instruct AWQ (casperhansen/llama-3-8b-instruct-awq)

Llama 3 8B Instruct AWQ Parameters and Internals

LLM NameLlama 3 8B Instruct AWQ
Repository ๐Ÿค—https://huggingface.co/casperhansen/llama-3-8b-instruct-awq 
Base Model(s)  Llama3 8B Instruct   afshinO/llama3-8B-Instruct
Model Size8b
Required VRAM5.8 GB
Updated2024-12-21
Maintainercasperhansen
Model Typellama
Instruction-BasedYes
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 Version4.40.0
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typefloat16

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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 v20241217