初始化项目，由ModelHub XC社区提供模型

Model: riotu-lab/ArabianGPT-01B
Source: Original Platform

README.md

@@ -0,0 +1,82 @@
+---
+license: apache-2.0
+language:
+- ar
+pipeline_tag: text-generation
+tags:
+- 'arabic '
+- text-generation
+widget:
+- text: "أعلنت وزارة الحج في المملكة العربية السعودية"
+  example_title: "مثال ١"
+- text: "يبدو اليوم جميلا، سأقوم بتحضير"
+  example_title: "مثال ٢"
+- text: "إن التقنيات الحديثة"
+  example_title: "مثال ٣"
+---
+# ArabianGPT Model Overview
+
+## Disclaimer for the Use of Large Language Models (LLMs) for Text Generation
+
+<p style="color: red;">We disclaim all responsibility for any harm, inaccuracies, or inappropriate content generated by ArabianGPT-0.1B, and users engage with and apply the model's outputs at their own risk.</p>
+
+> **Important Note:** Currently, we offer a raw pre-trained model. Our team is actively working on releasing instruction-based LLMs that are fine-tuned and augmented with LRHF. The first set of pre-trained models has been made available for community exploration. While we do have models fine-tuned for specific tasks such as summarization and sentiment analysis, they are still in the development phase.
+
+
+## How you can use this Pre-Trained?
+You are invited to utilize this pre-trained, native Arabic language model as an experimental tool to assess its capabilities, aid in its fine-tuning, and evaluate its performance across a variety of downstream tasks. We encourage you to review our technical report for a comprehensive understanding of the model's performance metrics and the specific downstream tasks it has been tested on. This will provide valuable insights into its applicability and effectiveness in diverse applications.
+
+
+## Introduction
+ArabianGPT-0.1B, developed under the ArabianLLM initiatives, is a specialized GPT-2 model optimized for Arabic language modeling. 
+It's a product of the collaborative efforts at Prince Sultan University's Robotics and Internet of Things Lab, focusing on enhancing natural language modeling and generation in Arabic. 
+This model represents a significant stride in LLM research, specifically addressing the linguistic complexities and nuances of the Arabic language.
+
+## Key Features
+- **Architecture**: GPT-2
+- **Model Size**: 134 million parameters
+- **Layers**: 12
+- **Model Attention Layers (MAL)**: 12
+- **Context Window Size**: 768 tokens
+
+## Training
+- **Dataset**: Scraped Arabic newspaper articles
+- **Data Size**: 15.5 GB
+- **Words**: 237.8 million
+- **Tokenizer**: Aranizer 64K
+- **Tokens**: Over 1.75 billion
+- **Hardware**: 2 NDIVIA A100 GPUs 
+- **Training Scale**: 7.5 million examples
+- **Training Duration**: 3 days
+- **Performance**: Final loss of 3.97
+
+
+## Role in ArabianLLM Initiatives
+ArabianGPT-0.1B (Base Model) is crucial for advancing Arabic language processing, addressing challenges unique to Arabic morphology and dialects.
+
+## Usage
+Suitable for Arabic text generation tasks. Example usage with Transformers Pipeline:
+```python
+from transformers import pipeline
+
+pipe = pipeline("text-generation", model="riotu-lab/ArabianGPT-01B", max_new_tokens=512)
+text = ''
+pipe.predict(text)
+```
+
+## Limitations and Ethical Considerations
+
+- The model may have context understanding or text generation limitations in certain scenarios.
+- Emphasis on ethical use to prevent misinformation or harmful content propagation.
+
+## Acknowledgments
+
+Special thanks to Prince Sultan University, particularly the Robotics and Internet of Things Lab.
+
+## Contact Information
+
+For inquiries: [riotu@psu.edu.sa](mailto:riotu@psu.edu.sa).
+
+## Disclaimer for the Use of Large Language Models (LLMs) for Text Generation
+
+<p style="color: red;">We disclaim all responsibility for any harm, inaccuracies, or inappropriate content generated by ArabianGPT-0.1B, and users engage with and apply the model's outputs at their own risk.</p>