🇪🇬 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
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.