Korkortlarare - Swedish Driving License Theory Assistant

A fine-tuned Qwen2.5-7B-Instruct model specialized for Swedish driving license theory (körkortsteori).

Model Details

  • Base Model: Qwen2.5-7B-Instruct
  • Fine-tuning Method: LoRA with Unsloth
  • Training Data: 4,080 Swedish driving license Q&A pairs
  • Format: GGUF F16 (full precision)
  • Size: 15.2 GB
  • Language: Swedish (sv)

Intended Use

This model is designed to help users study for the Swedish driving license theory test (körkortsteori). It can answer questions about:

  • Traffic rules (Trafikregler)
  • Road signs (Vägmärken)
  • Safety (Säkerhet)
  • Vehicle and environment (Fordon och Miljö)
  • Parking and special situations
  • Laws and regulations
  • Practical driving

Usage with Ollama

ollama run SlipsKnuten/korkortlarare

Or download and create locally:

ollama create korkortlarare -f Modelfile

Usage with llama.cpp

./main -m korkortlarare-f16.gguf -p "Vad innebär högerregeln?"

Training

The model was fine-tuned using:

  • Framework: Unsloth + TRL
  • Method: SFT (Supervised Fine-Tuning) with LoRA
  • Epochs: 5
  • Dataset: Custom Swedish driving license Q&A dataset

Limitations

  • The model is specifically trained for Swedish driving license theory and may not perform well on other topics
  • Always verify important information with official sources (Trafikverket)
  • This is an educational tool and should not replace official study materials

License

Apache 2.0

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GGUF
Model size
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Architecture
qwen2
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