metadata
license: apache-2.0
language:
- sv
library_name: transformers
base_model: Qwen/Qwen2.5-7B-Instruct
tags:
- gguf
- swedish
- driving-license
- körkort
- fine-tuned
- qwen2
pipeline_tag: text-generation
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