Hugging Face Overview
JanusCoder-8B: Unified Visual-Programmatic Code Intelligence
JanusCoder-8B, developed by InternLM, is an 8 billion parameter text model based on Qwen3-8B. It is a core component of the JanusCoder model suite, which aims to establish a unified interface for code intelligence across visual and programmatic inputs. The model is trained on JANUSCODE-800K, a large multimodal code corpus generated by an innovative synthesis toolkit.
Key Capabilities
- Unified Code Generation: Handles diverse visual-programmatic tasks, generating code from text, visual inputs, or a combination of both.
- Flexible Content Creation: Excels at generating code for data visualizations, interactive web UIs, and complex animations.
- Program-Driven Editing: Supports precise, program-driven editing of visual effects.
- Performance: Demonstrates strong performance across various code intelligence benchmarks, including PandasPlotBench, ArtifactsBench, and DTVBench (Manim, Wolfram), often outperforming models like Qwen3-8B and LLaMA3-8B-Instruct in these specific tasks.
Good for
- Developers requiring code generation from natural language descriptions for visual outputs.
- Creating data visualizations and interactive front-end components programmatically.
- Automating the generation and editing of complex animations and visual effects through code.
For more technical details, refer to the JanusCoder GitHub repository and the technical report.