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BLACK0X80/horus-egy-coder

sourceHugging Faceapache-2.0updated 3mo agoView on Hugging Face

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Horus-Egy-Coder

Egyptian Arabic coding assistant — a fine-tuned Llama 3.1-8B model specialized in helping Arabic and Egyptian developers write, debug, and understand code.

Built in Egypt 🇪🇬 | Powered by Unsloth + TRL

Model Description

horus-egy-coder is a fine-tuned version of meta-llama/Llama-3.1-8B-Instruct trained to assist Arabic-speaking developers — with native understanding of Egyptian Arabic technical dialect. It can explain code in Arabic, help debug in conversational Egyptian, and write clean code with Arabic comments.

Property	Value
Base model	meta-llama/Llama-3.1-8B-Instruct
Parameters	1B (quantized BF16)
Training	Unsloth + HuggingFace TRL (2x faster)
License	Apache 2.0
Language	Arabic 🇪🇬 / English
Task	Code generation, explanation, debugging

Quick Start

python

from transformers import AutoTokenizer, AutoModelForCausalLM
import torch

model_name = "BLACK0X80/horus-egy-coder"

tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForCausalLM.from_pretrained(
    model_name,
    torch_dtype=torch.bfloat16,
    device_map="auto"
)

messages = [
    {
        "role": "system",
        "content": "أنت مساعد برمجة بيتكلم عربي مصري. بتشرح الكود بالعربي وبتساعد المطورين."
    },
    {
        "role": "user", 
        "content": "اكتبلي function بـ Python بتحسب الـ factorial"
    }
]

input_ids = tokenizer.apply_chat_template(
    messages,
    tokenize=True,
    add_generation_prompt=True,
    return_tensors="pt"
).to(model.device)

output = model.generate(
    input_ids,
    max_new_tokens=512,
    temperature=0.7,
    do_sample=True
)

print(tokenizer.decode(output[0][input_ids.shape[1]:], skip_special_tokens=True))

Example Interactions

Example 1 — Code explanation in Arabic:

User: فسرلي الكود ده
      for i in range(len(arr)-1):
          for j in range(len(arr)-i-1):
              if arr[j] > arr[j+1]:
                  arr[j], arr[j+1] = arr[j+1], arr[j]

Model: ده Bubble Sort — خوارزمية ترتيب بسيطة.
       بتعمل loop على الـ array وبتقارن كل عنصر بالي بعده،
       لو العنصر الأكبر جه الأول بتبدلهم...

Example 2 — Debugging:

User: الكود ده بيطلع IndexError، مش عارف ليه
Model: المشكلة في السطر ده... جرب كذا...

🔢 GGUF Version (للأجهزة المحدودة)

لو جهازك مش عنده GPU كبير، استخدم النسخة المضغوطة:

`BLACK0X80/horus-egy-coder-Q4_K_M-GGUF`

bash

# تشغيل بـ llama.cpp
./llama-cli -m horus-egy-coder-Q4_K_M.gguf \
  -p "أنت مساعد برمجة عربي مصري." \
  --chat-format llama-3

Training Details

—Framework: Unsloth (2x faster training, 60% less memory)
—Library: HuggingFace TRL (SFT Trainer)
—Base: unsloth/Meta-Llama-3.1-8B-Instruct-bnb-4bit
—Quantization: BF16

Intended Use

Good for:

—شرح الكود بالعربي المصري
—كتابة functions وscripts بـ Python
—Debugging مع تفسير الأخطاء بالعربي
—تعليم البرمجة للمبتدئين العرب

Limitations:

—النموذج fine-tuned على بيانات محدودة — ممكن يغلط في كود معقد جداً
—مش متخصص في لغات غير Python بنفس الكفاءة
—مش مناسب لـ production code بدون مراجعة بشرية

About HORUS-AI

HORUS-AI is an Egyptian AI initiative focused on building Arabic and Egyptian-dialect AI models. Named after the ancient Egyptian god of knowledge, we aim to make AI accessible to Arabic-speaking developers.

—GitHub: BLACK0X80
—Web: black0x80.vercel.app

Citation

bibtex

@misc{horus-egy-coder-2025,
  title={Horus-Egy-Coder: Egyptian Arabic Coding Assistant},
  author={BLACK0X80 and HORUS-AI},
  year={2025},
  url={https://huggingface.co/BLACK0X80/horus-egy-coder},
  note={Fine-tuned from meta-llama/Llama-3.1-8B-Instruct}
}

Made with ❤️ in Egypt 🇪🇬