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Meta Llama 3 8B Instruct GPTQ 4bit by stan-hua

 »  All LLMs  »  stan-hua  »  Meta Llama 3 8B Instruct GPTQ 4bit   URL Share it on

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  Arxiv:1910.09700   4-bit   4bit   Autotrain compatible   Conversational   Endpoints compatible   Gptq   Instruct   Llama   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/stan-hua/Meta-Llama-3-8B-Instruct-GPTQ-4bit 

Meta Llama 3 8B Instruct GPTQ 4bit Benchmarks

LLME Score: 0.19051
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Meta Llama 3 8B Instruct GPTQ 4bit (stan-hua/Meta-Llama-3-8B-Instruct-GPTQ-4bit)

Meta Llama 3 8B Instruct GPTQ 4bit Parameters and Internals

LLM NameMeta Llama 3 8B Instruct GPTQ 4bit
Repository 🤗https://huggingface.co/stan-hua/Meta-Llama-3-8B-Instruct-GPTQ-4bit 
Model Size8b
Required VRAM5.8 GB
Updated2025-02-22
Maintainerstan-hua
Model Typellama
Instruction-BasedYes
Model Files  4.7 GB: 1-of-2   1.1 GB: 2-of-2
GPTQ QuantizationYes
Quantization Typegptq|4bit
Model ArchitectureLlamaForCausalLM
Context Length8192
Model Max Length8192
Transformers Version4.41.1
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typefloat16

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Meta Llama 3 8B Instruct GPTQ8K / 5.8 GB1281
Meta Llama 3 8B Instruct GPTQ8K / 5.8 GB80
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Note: green Score (e.g. "73.2") means that the model is better than stan-hua/Meta-Llama-3-8B-Instruct-GPTQ-4bit.

Rank the Meta Llama 3 8B Instruct GPTQ 4bit 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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