Meta Llama 3 70B Instruct GPTQ by OxxoCodes

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Meta Llama 3 70B Instruct GPTQ is an open-source language model by OxxoCodes. Features: 70b LLM, VRAM: 39.8GB, Context: 8K, License: other, Quantized, Instruction-Based, LLM Explorer Score: 0.13.

  4-bit   4bit   Conversational   Endpoints compatible   Gptq   Instruct   Llama   Llama-3   Quantized   Region:us

Meta Llama 3 70B Instruct GPTQ Benchmarks

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 70B Instruct GPTQ Parameters and Internals

Model Type 
conversational
Additional Notes 
This is a 4-bit GPTQ quantized version of the model.
LLM NameMeta Llama 3 70B Instruct GPTQ
Repository 🤗https://huggingface.co/OxxoCodes/Meta-Llama-3-70B-Instruct-GPTQ 
Base Model(s)  Meta Llama 3 120B Instruct   mlabonne/Meta-Llama-3-120B-Instruct
Model Size70b
Required VRAM39.8 GB
Updated2026-04-21
MaintainerOxxoCodes
Model Typellama
Instruction-BasedYes
Model Files  39.8 GB
GPTQ QuantizationYes
Quantization Typegptq|4bit
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length8192
Model Max Length8192
Transformers Version4.38.2
Vocabulary Size128256
Torch Data Typefloat16

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Meta Llama 3 70B Instruct GPTQ8K / 39.8 GB176319
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...g Llama 3 70B Instruct GPTQ 4B8K / 39.8 GB60
...g Llama 3 70B Instruct GPTQ 8B8K / 74.4 GB11
...erkrautLM 70B Instruct GPTQ 8B8K / 74.4 GB61
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Note: green Score (e.g. "73.2") means that the model is better than OxxoCodes/Meta-Llama-3-70B-Instruct-GPTQ.

Rank the Meta Llama 3 70B Instruct GPTQ 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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Release v20260328a