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# Argument Mining with LLaMA 3.1

This Space demonstrates a fine-tuned LLaMA 3.1 model for extracting arguments from historical newspapers.

## 🔍 Use Cases
- Identify argumentative units in (historical) news
- Argument Mining
- Provide structured XML output for downstream research

## ⚡ Key Features
- Extracts **original argument text**
- Provides structured `<argument>`, `<claim>`, `<explanation>` fields
- Multi-argument support per article
- Designed for **dqualitative data research**

## 📊 Technical Details
- Base model: `Meta-Llama-3.1-8B-Instruct`
- Fine-tuned with LoRA adapters and 4-bit quantization
- Training data: German historical newspapers (annotated)

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