metadata

license: mit
language:
  - fa
library_name: transformers
tags:
  - text-generation-inference
inference: false
pipeline_tag: text-generation

PersianLLaMA: Towards Building First Persian Large Language Model

🌟 Introduction

Welcome to the home of PersianLLaMA, the pioneering large language model for the Persian language. With 13 billion parameters, this model is trained on a diverse corpus and designed to excel in multiple NLP tasks, setting a new benchmark for Persian language understanding and generation.

🛠 Model Description

PersianLLaMA is not just a model but a comprehensive tool for:

📝 Text Generation: Crafting coherent and contextually appropriate text.
🎯 Instruct Tuning: Executing tasks based on detailed instructions, ideal for scenarios where the model needs to adhere to specific guidelines or produce outputs tailored to particular requirements.
❓ Question Answering: Providing accurate answers to Persian queries.
📊 Text Summarization: Condensing Persian texts into precise summaries.

This model has been collaboratively developed by a team of experts, including Mohammad Amin Abbasi, Arash Ghafouri, Mahdi Firouzmandi, Hassan Naderi, and Behrouz Minaei Bidgoli.

🚀 Quick Start

To integrate PersianLLaMA into your project, follow these steps:

from transformers import AutoModelForCausalLM, AutoTokenizer

model_name = "your-huggingface-username/persianllama"
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForCausalLM.from_pretrained(model_name)

prompt = "این متن به فارسی است"
inputs = tokenizer(prompt, return_tensors="pt")
outputs = model.generate(inputs["input_ids"])
print(tokenizer.decode(outputs[0], skip_special_tokens=True))

📈 Evaluation and Benchmarks

PersianLLaMA demonstrates superior performance over existing models, with robust evaluation metrics that highlight its capabilities in natural language understanding and generation.

📜 Citing PersianLLaMA

If you find PersianLLaMA useful in your research, please consider citing:

@article{abbasi2023persianllama,
  title={PersianLLaMA: Towards Building First Persian Large Language Model},
  author={Abbasi, Mohammad Amin and others},
  journal={https://arxiv.org/abs/2312.15713},
  year={2023}
}

📄 License

PersianLLaMA is open-sourced under the MIT license.