# Arabic text generation

FaseehGPT is a GPT-style language model designed specifically for Arabic text processing, optimized for resource-constrained environments, and capable of generating coherent Arabic text.

This is a Transformer model optimized with Unsloth, specifically tailored for Arabic text generation tasks.

An Arabic text generation model fine-tuned based on Llama-3-8B-Instruct, focusing on improving the coherence and accuracy of Arabic text.

AraGPT2 is a series of large language models pre-trained for Arabic text generation tasks, available in four sizes: base, medium, large, and mega.

Arabic language model trained on T5v1.1 small architecture, incorporating multiple Arabic datasets for training

AraGPT2 is a pre-trained Arabic text generation model based on the GPT2 architecture, developed by AUB MIND Lab, supporting multiple model size variants.

A GPT2 model trained on Arabic Wikipedia dataset based on gpt2-small architecture, suitable for text generation tasks.