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Meta Llama 3 70B Instruct GPTQ by MaziyarPanahi

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Meta Llama 3 70B Instruct GPTQ is an open-source language model by MaziyarPanahi. Features: 70b LLM, VRAM: 39.8GB, Context: 8K, Quantized, Instruction-Based, LLM Explorer Score: 0.15.

  4-bit   Autotrain compatible Base model:meta-llama/meta-lla... Base model:quantized:meta-llam...   Conversational   En   Endpoints compatible   Facebook   Finetuned   Gptq   Has space   Instruct   Llama   Llama-3   Meta   Pytorch   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/MaziyarPanahi/Meta-Llama-3-70B-Instruct-GPTQ 

Meta Llama 3 70B Instruct GPTQ Benchmarks

LLME Score: 0.14997
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 (MaziyarPanahi/Meta-Llama-3-70B-Instruct-GPTQ)
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Meta Llama 3 70B Instruct GPTQ Parameters and Internals

Model Type 
text-generation
Use Cases 
Areas:
research, commercial applications
Additional Notes 
Quantized version (GPTQ) of Meta-Llama-3-70B-Instruct, finetuned and optimized for 4-bit performance.
Supported Languages 
en (proficient)
Input Output 
Accepted Modalities:
text
Output Format:
generated text
LLM NameMeta Llama 3 70B Instruct GPTQ
Repository 🤗https://huggingface.co/MaziyarPanahi/Meta-Llama-3-70B-Instruct-GPTQ 
Model NameMeta-Llama-3-70B-Instruct-GPTQ
Model Creatormeta-llama
Base Model(s)  Meta Llama 3 70B Instruct   meta-llama/Meta-Llama-3-70B-Instruct
Model Size70b
Required VRAM39.8 GB
Updated2025-09-23
MaintainerMaziyarPanahi
Model Typellama
Instruction-BasedYes
Model Files  39.8 GB
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureLlamaForCausalLM
Context Length8192
Model Max Length8192
Transformers Version4.39.2
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typefloat16

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...ta Llama 3 70B Instruct Marlin8K / 39.5 GB3046
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Note: green Score (e.g. "73.2") means that the model is better than MaziyarPanahi/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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