初始化项目，由ModelHub XC社区提供模型

Model: AiLab-IMCS-UL/EuroLLM-9B-Instruct-LVportals-15K
Source: Original Platform

README.md

@@ -0,0 +1,22 @@
+---
+license: apache-2.0
+language:
+- lv
+base_model:
+- utter-project/EuroLLM-9B-Instruct
+tags:
+- legal
+pipeline_tag: text-generation
+---
+
+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.
+
+Quantized versions of the model are available for use with Ollama or other local LLM runtime environments that support the GGUF format.
+
+The data preparation, fine-tuning process, and comprehensive evaluation are described in more detail in:
+
+> Artis Pauniņš. Evaluation and Adaptation of Large Language Models for Question-Answering on Legislation. Master’s Thesis. University of Latvia, 2025.
+
+**Note**:
+
+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.