Text Generation
Transformers
Safetensors
Arabic
English
llama
arabic
egyptian
coding
conversational
unsloth
trl
fine-tuned
text-generation-inference
Instructions to use BLACK0X80/horus-egy-coder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BLACK0X80/horus-egy-coder with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="BLACK0X80/horus-egy-coder") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("BLACK0X80/horus-egy-coder") model = AutoModelForCausalLM.from_pretrained("BLACK0X80/horus-egy-coder") messages = [ {"role": "user", "content": "Who are you?"}, ] inputs = tokenizer.apply_chat_template( messages, add_generation_prompt=True, tokenize=True, return_dict=True, return_tensors="pt", ).to(model.device) outputs = model.generate(**inputs, max_new_tokens=40) print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:])) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use BLACK0X80/horus-egy-coder with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "BLACK0X80/horus-egy-coder" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "BLACK0X80/horus-egy-coder", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/BLACK0X80/horus-egy-coder
- SGLang
How to use BLACK0X80/horus-egy-coder with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "BLACK0X80/horus-egy-coder" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "BLACK0X80/horus-egy-coder", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "BLACK0X80/horus-egy-coder" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "BLACK0X80/horus-egy-coder", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Unsloth Studio
How to use BLACK0X80/horus-egy-coder with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for BLACK0X80/horus-egy-coder to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for BLACK0X80/horus-egy-coder to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for BLACK0X80/horus-egy-coder to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="BLACK0X80/horus-egy-coder", max_seq_length=2048, ) - Docker Model Runner
How to use BLACK0X80/horus-egy-coder with Docker Model Runner:
docker model run hf.co/BLACK0X80/horus-egy-coder
| language: | |
| - ar | |
| - en | |
| license: apache-2.0 | |
| base_model: meta-llama/Llama-3.1-8B | |
| tags: | |
| - llama | |
| - arabic | |
| - egyptian | |
| - coding | |
| - text-generation | |
| - conversational | |
| - unsloth | |
| - trl | |
| - fine-tuned | |
| pipeline_tag: text-generation | |
| library_name: transformers | |
| # 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](https://github.com/unslothai/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`](https://huggingface.co/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](https://github.com/unslothai/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](https://github.com/BLACK0X80) | |
| - Web: [black0x80.vercel.app](https://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 🇪🇬* |