VisCoder2-3B is a lightweight multi-language visualization coding model trained for executable code generation, rendering, and iterative self-debugging. We evaluate VisCoder2-3B on VisPlotBench, which includes 888 executable visualization tasks spanning 8 languages, supporting both standard generation and multi-turn self-debugging. > VisCoder2-3B shows consistent performance across multiple languages and achieves notable improvements under the multi-round self-debug setting. If you use VisCoder2-3B or related datasets in your research, please cite: For evaluation scripts and more information, see our GitHub repository.
Модальности:
Генерация текста
Области применения:
Генерация кода Диалог / чат
Задача: Генерация текста
Автор: TIGER-Lab
Теги: qwen2, code, conversational, en, text-generation-inference, endpoints_compatible
Лайков: 3 | Загрузок: 40
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
