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---
license: cc-by-nc-sa-4.0
datasets:
- QCRI/LlamaLens-English
- QCRI/LlamaLens-Arabic
- QCRI/LlamaLens-Hindi
language:
- ar
- en
- hi
base_model:
- meta-llama/Llama-3.1-8B-Instruct
pipeline_tag: text-generation
tags:
- Social-Media
- Hate-Speech
- Summarization
- offensive-language
- News-Genre
---
# LlamaLens: Specialized Multilingual LLM forAnalyzing News and Social Media Content
## Overview
LlamaLens is a specialized multilingual LLM designed for analyzing news and social media content. It focuses on 19 NLP tasks, leveraging 52 datasets across Arabic, English, and Hindi.
<p align="center">
<picture>
<img width="352" alt="capablities_tasks_datasets" src="./llamalens-avatar.png">
</picture>
</p>
## Model Inference
TBA
# License
This model is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0).
# Citation
Please cite [our paper](https://arxiv.org/pdf/2410.15308) when using this model:
```
@article{kmainasi2024llamalensspecializedmultilingualllm,
title={LlamaLens: Specialized Multilingual LLM for Analyzing News and Social Media Content},
author={Mohamed Bayan Kmainasi and Ali Ezzat Shahroor and Maram Hasanain and Sahinur Rahman Laskar and Naeemul Hassan and Firoj Alam},
year={2024},
journal={arXiv preprint arXiv:2410.15308},
volume={},
number={},
pages={},
url={https://arxiv.org/abs/2410.15308},
eprint={2410.15308},
archivePrefix={arXiv},
primaryClass={cs.CL}
}
```
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