---
language:
- ar
- en
base_model:
- ALLaM-AI/ALLaM-7B-Instruct-preview
pipeline_tag: text-generation
library_name: transformers
license: apache-2.0
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---


# Yehia: A Simple (nice to talk to) Arabic Model

<center>
  <img src="https://cdn-uploads.huggingface.co/production/uploads/6116d0584ef9fdfbf45dc4d9/1OUwFm2hWBAHLCVvh2JkG.png" width="75%">
</center>

## 🤔 What is Yehia?
Yehia is a 7-billion-parameter language model built to be more than just a tool—it’s a companion. Based on ALLaM-AI’s [ALLaM-7B-Instruct-preview](https://huggingface.co/ALLaM-AI/ALLaM-7B-Instruct-preview), Yehia is designed to offer thoughtful, kind, and helpful conversations in both Arabic and English.

[You can chat with Yehia from here 👋](https://huggingface.co/spaces/Navid-AI/Yehia-7B-preview)

### 📰 Interesting News

As of **2/3/2025**, Yehia is the best Arabic model on [AraGen-Leaderboard](https://huggingface.co/spaces/inceptionai/AraGen-Leaderboard) between the sizes of 0.5B up to 25B 🔥

 <img src="https://cdn-uploads.huggingface.co/production/uploads/6116d0584ef9fdfbf45dc4d9/58HX7laDAJCkWOTZm_KY7.png">

## 🛠️ How Yehia was made?
Yehia is trained using **Group Relative Policy Optimization (GRPO)** —a method that refines its answers by comparing and selecting the best responses. Its development follows the **3C3H** metric, prioritizing:

- **Correctness ✅:** Accurate information to build trust.  
- **Completeness 📚:** Full, well-rounded answers.  
- **Conciseness ✂️:** Clear, to-the-point responses.  
- **Helpfulness 🤝:** Always aiming to support and uplift.  
- **Honesty 💬:** Transparent, straightforward communication.  
- **Harmlessness ❤️:** Promoting kindness and safety.

And the Judge model of our answer was none other than `claude-sonnet-3.5` 🔍

## 🚀 Getting Started
To start using Yehia, you can easily load the model with the `transformers` library:

```python
from transformers import AutoTokenizer, AutoModelForCausalLM
import torch

model_name = "Navid-AI/Yehia-7B-preview"
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForCausalLM.from_pretrained(model_name, torch_dtype=torch.bfloat16, attn_implementation="flash_attention_2", device_map="auto")

messages = [
    {"role": "system", "content": "أنت يحيى، ذكاءٌ اصطناعيٌّ طورته شركة 'نفيد'، متخصصٌ في التفكير المنطقي والتحليل الدقيق. مهمتك إلهام المستخدمين ودعمهم في رحلتهم نحو التعلّم، النمو، وتحقيق أهدافهم من خلال تقديم حلولٍ ذكيةٍ ومدروسة."},
    {"role": "user", "content": "مرحباً يا يحيى! كيف حالك اليوم؟"}
]

inputs = tokenizer.apply_chat_template(messages, add_generation_prompt=True, return_tensors="pt", return_dict=True).to(model.device)
outputs = model.generate(**inputs, max_new_tokens=512)
print(tokenizer.decode(outputs[0], skip_special_tokens=True))
```

**Note:** If `flash_attention_2` is giving you any problems just remove it.

## 🌟 What Can Yehia Do?
- **Explain Concepts 💡:** Break down educational topics in Arabic to help learners understand easily.
- **Engage in Conversations 🗣️:** Offer friendly and supportive chats that uplift users.
- **Promote Learning 📖:** Encourage curiosity and provide knowledge in an accessible way.

Yehia shines in conversations that feel personal and uplifting, always striving to improve.

## 💭 Remember
Yehia’s name means *“God is gracious”* in Arabic—reflecting its mission to bring grace and connection to every interaction. Whether you’re a student, creator, or just curious, Yehia is here to brighten your day.

## 📌 Citation
If you would like to cite Yehia in your work, please use the following BibTeX entry:

```
@misc{yehia2025,
  title={Yehia 7B Preview},
  author={Navid-AI},
  year={2025},
  howpublished={\url{https://huggingface.co/Navid-AI/Yehia-7B-preview}}
}
```