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.