What are the hardware requirements for Arabic Orpo Llama 3 8B Instruct AWQ?

Arabic Orpo Llama 3 8B Instruct AWQ requires approximately 5.8 GB of VRAM and supports a context window of 8K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Arabic Orpo Llama 3 8B Instruct AWQ and how large is it?

Arabic Orpo Llama 3 8B Instruct AWQ is developed by MohamedRashad, a model with 8b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Arabic Orpo Llama 3 8B Instruct AWQ?

Arabic Orpo Llama 3 8B Instruct AWQ is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Arabic Orpo Llama 3 8B Instruct AWQ by MohamedRashad — VRAM 5.8GB, 8K context

Name: Arabic Orpo Llama 3 8B Instruct AWQ
Author: MohamedRashad

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

Model Card on HF 🤗: https://huggingface.co/MohamedRashad/Arabic-Orpo-Llama-3-8B-Instruct-AWQ

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 Name	Arabic Orpo Llama 3 8B Instruct AWQ
Repository 🤗	https://huggingface.co/MohamedRashad/Arabic-Orpo-Llama-3-8B-Instruct-AWQ
Model Name	Arabic ORPO 8B chat
Base Model(s)	...rabic Orpo Llama 3 8B Instruct MohamedRashad/Arabic-Orpo-Llama-3-8B-Instruct
Model Size	8b
Required VRAM	5.8 GB
Updated	2026-07-31
Maintainer	MohamedRashad
Model Type	llama3
Instruction-Based	Yes
Model Files	4.7 GB: 1-of-2 1.1 GB: 2-of-2
Supported Languages	ar en
AWQ Quantization	Yes
Quantization Type	awq
Model Architecture	LlamaForCausalLM
License	llama3
Context Length	8192
Model Max Length	8192
Transformers Version	4.40.1
Tokenizer Class	PreTrainedTokenizerFast
Vocabulary Size	128256
Torch Data Type	float16

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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...8B Instruct Gradient 1048K AWQ	1024K / 5.8 GB	8	0
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...ta Llama 3 8B Instruct 64K AWQ	64K / 5.8 GB	6	0
... Instruct 8B 32K V0.1 4bit AWQ	64K / 5.8 GB	9	0
Llama 3 8B Instruct AWQ	8K / 5.8 GB	25458	31
Meta Llama 3 8B Instruct AWQ	8K / 5.8 GB	6	0
Meta Llama 3 8B Instruct AWQ	8K / 5.8 GB	563	0
Meta Llama 3 8B Instruct AWQ	8K / 5.8 GB	7	0
Meta Llama 3 8B Instruct AWQ	8K / 5.8 GB	401	5

Note: green Score (e.g. "73.2") means that the model is better than MohamedRashad/Arabic-Orpo-Llama-3-8B-Instruct-AWQ.