small-models-for-glam/Qwen3-0.6B-SFT-name-parser-yaml

The small-models-for-glam/Qwen3-0.6B-SFT-name-parser-yaml is a 0.6 billion parameter Qwen3-based causal language model developed by small-models-for-glam. Fine-tuned using Supervised Fine-Tuning (SFT) with TRL, this specialized model excels at parsing cultural heritage person names into a structured YAML format. It accurately extracts first name, last name, middle names, temporal data, titles, and extra information from diverse international name patterns, making it ideal for digital humanities, library science, and archive management applications.