qassim-university/qu-llm-assistant

QU-LLM Assistant — wesam3/qu-llm-assistant

A fine-tuned Qwen2.5-1.5B-Instruct model specialised in answering student advisory questions for Qassim University (جامعة القصيم). The model is distributed as a Q4\K\M GGUF file for efficient local inference with llama.cpp / Ollama.

Model Details

Training Data

• —Dataset: 15,903 curated Q&A pairs extracted from official Qassim University documents (bylaws, handbooks, academic calendars, policy circulars).
• —Source: Publicly available PDFs and web pages from qu.edu.sa.
• —Language split: ~80 % Arabic, ~20 % English.
• —Date range: Multi-year corpus covering historical and current university policies.

Usage

Ollama (recommended)

ollama run wesamhamad/qu-llm-assistant

Or pull the GGUF manually and create a local Modelfile:

FROM ./qassim-gpt-q4_k_m.gguf
SYSTEM "أنت مساعد ذكاء اصطناعي متخصص في الإجابة على استفسارات طلاب جامعة القصيم."

ollama create qu-llm-assistant -f Modelfile
ollama run qu-llm-assistant

llama.cpp

llama-cli -m qassim-gpt-q4_k_m.gguf \
  --chat-template qwen \
  -p "ما هي متطلبات التسجيل في الفصل الدراسي الأول؟"

Python (llama-cpp-python)

from llama_cpp import Llama

llm = Llama(model_path="qassim-gpt-q4_k_m.gguf", chat_format="qwen")
response = llm.create_chat_completion(messages=[
    {"role": "system",  "content": "أنت مساعد أكاديمي لجامعة القصيم."},
    {"role": "user",    "content": "كيف أتقدم لطلب إعادة تقييم الدرجات؟"},
])
print(response["choices"][0]["message"]["content"])

Intended Use & Limitations

• —Intended use: Helping students navigate university regulations, registration procedures, scholarship requirements, and academic policies at Qassim University.
• —Out-of-scope: General-purpose chat, medical/legal advice, topics unrelated to the university.
• —Hallucinations: Like all LLMs the model may occasionally produce incorrect information. Always verify critical details with the official university portal.

Citation

@misc{qu-llm-assistant-2025,
  author    = {Wesam Hamad},
  title     = {QU-LLM Assistant: Fine-tuned Qwen2.5-1.5B for Qassim University Advisory},
  year      = {2025},
  publisher = {HuggingFace},
  url       = {https://huggingface.co/wesam3/qu-llm-assistant}
}

License

Apache-2.0 — see LICENSE.