Fine-tuned ALLaM-7B (SDAIA) for Qassim University student advisory. Arabic-native model trained on 12,320 Q&A pairs from 2024-2026 official university documents. Higher quality Arabic responses. Apache-2.0 licensed.

qu-llm-assistant-allam

Arabic-native AI assistant built on Saudi Arabia’s ALLaM-7B model (SDAIA), fine-tuned for Qassim University student advisory services.

Why ALLaM?

ALLaM is developed by SDAIA (Saudi Data & AI Authority) — a sovereign Arabic-first language model. This variant offers superior Arabic comprehension and generation compared to multilingual alternatives, with no character bleeding issues.

Quick Start

ollama run wesamhamad/qu-llm-assistant-allam

Model Details

Spec	Value
Base Model	ALLaM-7B-Instruct (SDAIA / humain-ai)
Parameters	7 billion
Quantization	GGUF Q4_K_M (4.3 GB)
Training Data	12,320 Q&A pairs (2024-2026 only)
Languages	Arabic (primary), English
License	Apache-2.0

Compared to v1 (Qwen)

Property	v1 (Qwen)	v2 (ALLaM)
Base Model	Qwen2.5-1.5B-Instruct	ALLaM-7B-Instruct (SDAIA)
Size	986 MB	4.3 GB
Training Data	15,903 pairs (all years)	12,320 pairs (2024-2026 only)
Arabic Quality	Good	Excellent (native Arabic model)
Speed	~4s per answer	~8-12s per answer
Ollama	`wesamhamad/qu-llm-assistant`	`wesamhamad/qu-llm-assistant-allam`

Choose v1 for speed, v2 for Arabic quality and recency.

Training Data

Source corpus: 262 PDF documents + 800+ HTML pages from qu.edu.sa
12,320 curated Q&A pairs filtered to 2024-2026 documents only
Quality pipeline: OCR with Tesseract Arabic, deduplication, garbled text removal, semantic similarity filtering
Coverage: Admissions, study regulations, examinations, discipline, cooperative training, student services, graduation, transfers, complaints, and graduate studies

Fine-tuning

Method: LoRA via Unsloth
LoRA config: rank=16, alpha=32
Epochs: 1
Hardware: Google Colab T4 GPU (16 GB VRAM)
Batch: 1 x 16 gradient accumulation with gradient checkpointing

Example Prompts

Prompt	Category
ما هي شروط القبول في جامعة القصيم؟	Admissions
كم ساعة أقدر أسجل في الفصل كحد أقصى؟	Study Regulations
ما عقوبة الغش في الاختبارات النهائية؟	Discipline
وش متطلبات التدريب التعاوني وكيف أسجل فيه؟	Cooperative Training
كيف أقدم على التخرج وما هي الشروط المطلوبة؟	Graduation
ما هي شروط التحويل بين الكليات داخل الجامعة؟	Transfers
كيف أقدم شكوى أو تظلم على درجة في مادة؟	Complaints
ما هي الخدمات التي تقدمها عمادة شؤون الطلاب؟	Student Services

RAG Integration

For best results, pair this model with the full RAG pipeline:

18,505 document chunks indexed in ChromaDB
BGE-M3 embeddings for multilingual semantic search
Gradio chat UI with source citations and confidence scores

Also Available On

HuggingFace: wesam3/qu-llm-assistant-allam
Lightweight variant: wesamhamad/qu-llm-assistant (Qwen 1.5B, 986 MB)
GitHub: wesamhamad/qassim-gpt

Limitations

Answers are based on training data from 2024-2026 documents and may not reflect the latest policy changes
The model may occasionally generate plausible-sounding but inaccurate information
Best used as a supplementary tool alongside official university channels
Optimized for Qassim University context; may not generalize well to other institutions
Responses should be treated as informational guidance, not official university decisions

License

Apache 2.0

Author

Qassim University — Deanship of Information Technology / wesamhamad