22 lines
1.1 KiB
Markdown
22 lines
1.1 KiB
Markdown
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---
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license: apache-2.0
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language:
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- lv
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base_model:
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- utter-project/EuroLLM-9B-Instruct
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tags:
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- legal
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pipeline_tag: text-generation
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---
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This is a fine-tuned version of the **EuroLLM-9B-Instruct** model, adapted for answering questions about legislation in Latvia. The model was fine-tuned on a [dataset](http://hdl.handle.net/20.500.12574/130) of ~15 thousand question–answer pairs sourced from the [LVportals.lv](https://lvportals.lv/e-konsultacijas) archive.
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Quantized versions of the model are available for use with Ollama or other local LLM runtime environments that support the GGUF format.
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The data preparation, fine-tuning process, and comprehensive evaluation are described in more detail in:
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> Artis Pauniņš. Evaluation and Adaptation of Large Language Models for Question-Answering on Legislation. Master’s Thesis. University of Latvia, 2025.
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**Note**:
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The model may occasionally generate overly long responses. To prevent this, it is recommended to set the `num_predict` parameter to limit the number of tokens generated - either in your Python code or in the `Modelfile`, depending on how the model is run.
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