nllg/TikZilla-3B
TikZilla-3B is a 3.1 billion parameter language model developed by nllg, based on the Qwen2.5-3B architecture, specifically fine-tuned for generating TikZ/LaTeX figures from natural language descriptions. With a context length of 32768 tokens, it excels at translating detailed textual prompts into complete, valid LaTeX code for scientific diagrams and plots. Its primary use case is automating the creation of complex vector graphics for academic and technical documents.
Loading preview...
TikZilla-3B Overview
TikZilla-3B is a specialized 3.1 billion parameter language model, built upon the Qwen2.5-3B architecture, designed for the unique task of generating TikZ/LaTeX figures from natural language input. Developed by nllg, this model was fine-tuned using supervised fine-tuning (SFT) on the DaTikZ-V4 dataset, specifically targeting the creation of scientific and technical diagrams.
Key Capabilities
- Natural Language to TikZ/LaTeX Conversion: Translates detailed text descriptions into executable LaTeX code for vector graphics.
- Scientific Figure Generation: Optimized for creating common scientific plots, diagrams, and illustrations.
- High Context Length: Supports a context window of 32768 tokens, allowing for complex and detailed figure descriptions.
- Complete LaTeX Output: Generates full LaTeX documents containing the TikZ figure, ready for compilation.
Good for
- Automating Figure Creation: Researchers and technical writers can quickly generate figures without manual TikZ coding.
- Academic Publishing: Ideal for producing high-quality, customizable vector graphics for papers, theses, and presentations.
- Prototyping Diagrams: Rapidly create visual representations from textual ideas.
- Educational Tools: Assisting in the creation of illustrative materials for STEM education.