egypt-llm-finetune

🇪🇬 My First Fine-Tuned Egyptian AI LLM

Model ID: quantumsquatan/egypt-llm-finetune

This is my first fine-tuned LLM, created while learning from the Hugging Face LLM Course in Egypt.

Model Description

• Base Model: TinyLlama/TinyLlama-1.1B-Chat-v1.0
• Fine-tuning Method: LoRA (Low-Rank Adaptation)
• Developer: quantumsquatan (Egyptian CS student)
• Languages: English + Egyptian Arabic context
• Training Data: 41 custom examples focused on Computer Science, AI explanations, student life in Egypt, and general knowledge.

Intended Use

Great for:

• Explaining CS and AI concepts in simple terms
• Helping students understand programming and machine learning
• Casual Arabic/English conversation with Egyptian flavor

How to Use

python
Copy code
from transformers import pipeline

pipe = pipeline(
    "text-generation",
    model="quantumsquatan/egypt-llm-finetune",
    device_map="auto"
)

messages = [
    {"role": "user", "content": "Explain neural networks simply."}
]

print(pipe(messages, max_new_tokens=200)[0]["generated_text"])

Limitations

This is an educational first fine-tune trained on a small custom dataset. It may make mistakes, hallucinate, or produce incomplete answers. Always verify important technical, academic, legal, medical, or financial information with reliable sources.