3 2 weeks ago

Fine-tuned Qwen2.5-1.5B for Qassim University student advisory. Arabic-native RAG-powered assistant trained on 3,919 Q&A pairs from university policies, regulations, and student guides.

ollama run wesamhamad/qassim-gpt

Details

2 weeks ago

48a5091c4dbe · 986MB ·

qwen2
·
1.54B
·
Q4_K_M
{{ if .System }}<|im_start|>system {{ .System }}<|im_end|> {{ end }}{{ if .Prompt }}<|im_start|>user
أنت مساعد جامعة القصيم الذكي. أجب على أسئلة الطلاب بالل
{ "num_ctx": 4096, "stop": [ "<|im_end|>", "<|im_start|>" ], "temper

Readme

Qassim-GPT

A fine-tuned Arabic language model for Qassim University student services. Built on Qwen2.5-1.5B-Instruct with LoRA fine-tuning on university-specific data.

Quick Start

ollama run wesamhamad/qassim-gpt

Model Details

Spec Value
Base Model Qwen2.5-1.5B-Instruct
Fine-tuning LoRA (rank=16, 3 epochs)
Training Data 3,919 curated Q&A pairs
Quantization Q4_K_M (GGUF)
Languages Arabic (primary), English
License MIT

Training Data

  • 777 HTML pages scraped from qu.edu.sa
  • 262 PDF documents (policies, regulations, student guides)
  • 3,919 filtered Q&A pairs covering admissions, registration, exams, transfers, scholarships, and more

Use Cases

  • Student advisory chatbot
  • University policy Q&A
  • Academic regulation lookup
  • Admissions guidance

Example

>>> ما شروط القبول في جامعة القصيم؟
>>> كيف أقدر أعتذر عن الفصل الدراسي؟
>>> ما عقوبة الغش في الاختبارات؟

RAG Integration

For best results, pair this model with the full RAG pipeline: - 18,505 document chunks in ChromaDB - BGE-M3 embeddings for Arabic semantic search - Gradio chat UI with citations

Built By

Qassim University — Deanship of Information Technology

Acknowledgments