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Meta Llama 3 70B Instruct GPTQ by cortecs

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

  4-bit   4bit   Autotrain compatible   Conversational   Dataset:wikitext   Endpoints compatible   Gptq   Instruct   Llama   Quantized   Region:us
Model Card on HF 🤗: https://huggingface.co/cortecs/Meta-Llama-3-70B-Instruct-GPTQ 

Meta Llama 3 70B Instruct GPTQ Benchmarks

LLME Score: 0.13048
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 (cortecs/Meta-Llama-3-70B-Instruct-GPTQ)
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Meta Llama 3 70B Instruct GPTQ Parameters and Internals

Model Type 
text generation, language model
Use Cases 
Areas:
research, commercial applications
Applications:
natural language processing, text completion, translation
Limitations:
Data contamination not checked
Supported Languages 
English (advanced), Spanish (advanced), French (advanced), German (advanced), Italian (advanced)
Training Details 
Data Sources:
wikitext
Methodology:
Quantized using GPTQ
Model Architecture:
LLaMA architecture
Safety Evaluation 
Ethical Considerations:
Data contamination was not checked
Input Output 
Input Format:
JSON
Accepted Modalities:
text
Output Format:
text
LLM NameMeta Llama 3 70B Instruct GPTQ
Repository 🤗https://huggingface.co/cortecs/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
Updated2025-09-23
Maintainercortecs
Model Typellama
Instruction-BasedYes
Model Files  39.8 GB
GPTQ QuantizationYes
Quantization Typegptq|4bit
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length8192
Model Max Length8192
Transformers Version4.40.1
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than cortecs/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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