README.md

---
base_model: inceptionai/jais-adapted-7b-chat
language:
- ar
license: apache-2.0
tags:
- text-generation-inference
- transformers
- unsloth
- llama
- trl
datasets:
- linagora/Tunisian_Derja_Dataset
library_name: transformers
---
## 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:

```sh
pip install transformers
```
# Usage
```python
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:

```bibtex
@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/Wajdi1976/Labess-7b-chat}
}

```
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)