Model Overview
Labess-7b-chat is an open model instruction-tuned for Tunisian Derja, it's a continual pre-training version of jais-adapted-7b-chat with tunisian_Derja_Dataset
Uploaded model
- Developed by: Linagora
- License: apache-2.0
- Finetuned from model : inceptionai/jais-adapted-7b-chat
Usage
Below we share some code snippets on how to get quickly started with running the model. First, install the Transformers library with:
pip install transformers
Usage
import torch
from transformers import pipeline
pipe = pipeline(
"text-generation",
model="linagora/Labess-7b-chat-16bit",
model_kwargs={"torch_dtype": torch.bfloat16},
device="cuda" # replace with "mps" to run on a Mac device
)
messages = [
{"role": "user", "content": 'وين تجي تونس؟'},
]
outputs = pipe(messages, max_new_tokens=64, do_sample=True, temperature=0.2)
assistant_response = outputs[0]["generated_text"][-1]["content"].strip()
print(assistant_response)
- Response:تونس هي بلاد في شمال إفريقيا هي بلاد جميلة برشة ومعروفة في العالم الكل هي بلاد فيها مناظر طبيعية
Citations
When using this model Labess-7b-chat, please cite:
@model{linagora2025LLM-tn,
author = {Wajdi Ghezaiel and Jean-Pierre Lorré},
title = {Labess-7b-chat:Tunisian Derja LLM},
year = {2025},
month = {January},
url = {https://huggingface.co/datasets/linagora/Labess-7b-chat-16bit}
}
Acknowledgements
Training of Labess-7b-chat was made possible by computing AI and storage resources by GENCI at IDRIS thanks to the grant 2024-AD011014561 on the supercomputer Jean Zay’s A100 partition.