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mosama/Yehia-7B-preview-W4A16_ASYM
Yehia-7B-preview-W4A16_ASYM is a text generation model from mosama. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as apache-2.0.
<center <img src="https://cdn-uploads.huggingface.co/production/uploads/6116d0584ef9fdfbf45dc4d9/1OUwFm2hWBAHLCVvh2JkG.png" width="75%" </center
Downloads · 30 days
11
9% of all-time downloads
All-time downloads
126
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7.1B
4.4 GB on disk
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.safetensors4.4 GB · 100%
How the weights are stored.
I326.5B · 92%
From the Hugging Face model README
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, Yehia is designed to offer thoughtful, kind, and helpful conversations in both Arabic and English.
You can chat with Yehia from here 👋
As of 2/3/2025, Yehia is the best Arabic model on AraGen-Leaderboard between the sizes of 0.5B up to 25B 🔥
<img src="https://cdn-uploads.huggingface.co/production/uploads/6116d0584ef9fdfbf45dc4d9/58HX7laDAJCkWOTZm_KY7.png">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:
And the Judge model of our answer was none other than claude-sonnet-3.5 🔍
To start using Yehia, you can easily load the model with the transformers library:
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.
Yehia shines in conversations that feel personal and uplifting, always striving to improve.
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.
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}}
}