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Llama 3 8B GPTQ 4 Bit by astronomer

 »  All LLMs  »  astronomer  »  Llama 3 8B GPTQ 4 Bit   URL Share it on

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  Arxiv:2210.17323   4-bit   Astronomer   Autotrain compatible Base model:meta-llama/meta-lla... Base model:quantized:meta-llam...   Dataset:wikitext   Endpoints compatible   Facebook   Finetuned   Gptq   Llama   Llama-3   Meta   Pretrained   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/astronomer/Llama-3-8B-GPTQ-4-Bit 

Llama 3 8B GPTQ 4 Bit Benchmarks

LLME Score: 0.1777
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 GPTQ 4 Bit (astronomer/Llama-3-8B-GPTQ-4-Bit)

Llama 3 8B GPTQ 4 Bit Parameters and Internals

Model Type 
llama, text-generation
Additional Notes 
This model is quantized to 4-bit using GPTQ methodology by David Xue from Astronomer. It uses the wikitext dataset for calibration.
LLM NameLlama 3 8B GPTQ 4 Bit
Repository 🤗https://huggingface.co/astronomer/Llama-3-8B-GPTQ-4-Bit 
Model NameMeta-Llama-3-8B
Model Creatorastronomer-io
Base Model(s)  Meta Llama 3 8B   meta-llama/Meta-Llama-3-8B
Model Size8b
Required VRAM5.7 GB
Updated2025-04-28
Maintainerastronomer
Model Typellama
Model Files  5.7 GB
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length8192
Model Max Length8192
Transformers Version4.38.2
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than astronomer/Llama-3-8B-GPTQ-4-Bit.

Rank the Llama 3 8B GPTQ 4 Bit 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
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