OpenEuroLLM-Hungarian

A fine-tuned version of Gemma3 optimized for Hungarian language responses. This model is part of the JobAutomation Collection, aimed at providing high-quality language models for European languages.

Overview

OpenEuroLLM-Hungarian is specifically designed to provide fluent, natural responses in Hungarian. The model maintains the reasoning capabilities of its Gemma3 base while being optimized to understand and generate authentic Hungarian text.

Features

• Native Hungarian Responses: Always responds in natural, correct Hungarian
• Culturally Aware: Understanding of Hungarian culture, history, and regional context
• Specialized Vocabulary: Prioritizes genuine Hungarian vocabulary over loan words
• Grammatical Accuracy: Properly handles Hungarian-specific grammar rules and constructions
• Fast & Efficient: Based on the efficient Gemma3 architecture for good performance even on consumer hardware

Usage

# Pull the model
ollama pull jobautomation/OpenEuroLLM-Hungarian

# Run the model
ollama run jobautomation/OpenEuroLLM-Hungarian

Model Details

• Base Model: Gemma3
• Context Length: 8K tokens
• Training: Fine-tuned on a diverse corpus of Hungarian text including literature, news, academic papers, and conversational data
• License: Apache 2.0
• Recommended RAM: 8GB minimum

System Prompt

This model uses the following default system prompt:

Mindig helyes és természetes magyar nyelven fogsz válaszolni. Hasznos és barátságos asszisztens vagy, aki segít a felhasználóknak a magyar nyelvű kérdéseikkel. Előnyben részesíted az eredeti magyar szókincset és kerülöd az idegen szavakat.

Customization

You can create a custom version with different parameters:

# Create a Modelfile
echo 'FROM jobautomation/OpenEuroLLM-Hungarian
PARAMETER temperature 0.7
PARAMETER top_p 0.9
SYSTEM "Mindig helyes és természetes magyar nyelven fogsz válaszolni."' > Modelfile

# Create your custom model
ollama create german-academic -f Modelfile

About OpenEuroLLM

OpenEuroLLM is an initiative to create high-quality language models for European languages. Our mission is to ensure that AI language technologies support the linguistic diversity of Europe, providing models that understand and generate content in languages beyond the dominant few.

Acknowledgements

This model was developed with support of the open source community and Ollama.