Arabic Orpo Llama 3 8B Instruct AWQ by MohamedRashad

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Arabic Orpo Llama 3 8B Instruct AWQ is an open-source language model by MohamedRashad. Features: 8b LLM, VRAM: 5.8GB, Context: 8K, License: llama3, Quantized, Instruction-Based, LLM Explorer Score: 0.12.

  4-bit   Ar   Awq   Conversational   En   Endpoints compatible   Instruct   Llama   Quantized   Region:us   Safetensors   Sharded   Tensorflow

Arabic Orpo Llama 3 8B Instruct AWQ Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Arabic Orpo Llama 3 8B Instruct AWQ Parameters and Internals

Model Type 
llama3
Additional Notes 
The model supports inputs in both Arabic and English and is used for text generation.
Supported Languages 
ar (unknown), en (unknown)
LLM NameArabic Orpo Llama 3 8B Instruct AWQ
Repository 🤗https://huggingface.co/MohamedRashad/Arabic-Orpo-Llama-3-8B-Instruct-AWQ 
Model NameArabic ORPO 8B chat
Base Model(s)  ...rabic Orpo Llama 3 8B Instruct   MohamedRashad/Arabic-Orpo-Llama-3-8B-Instruct
Model Size8b
Required VRAM5.8 GB
Updated2026-07-08
MaintainerMohamedRashad
Model Typellama3
Instruction-BasedYes
Model Files  4.7 GB: 1-of-2   1.1 GB: 2-of-2
Supported Languagesar en
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureLlamaForCausalLM
Licensellama3
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 MohamedRashad/Arabic-Orpo-Llama-3-8B-Instruct-AWQ.

Rank the Arabic Orpo Llama 3 8B Instruct AWQ 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