internlm/JanusCoderV-7B
JanusCoderV-7B is a 7 billion parameter multimodal model developed by InternLM, built upon Qwen2.5-VL-7B, with a context length of 32768 tokens. It is part of the JanusCoder suite, designed to create a unified visual-programmatic interface for code intelligence. This model excels at generating code from diverse inputs, including text, visual data, or a combination, enabling flexible content creation like data visualizations and interactive front-ends, as well as precise visual effect editing and complex animation construction.
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JanusCoderV-7B: Unified Visual-Programmatic Code Intelligence
JanusCoderV-7B, developed by InternLM, is a 7 billion parameter multimodal model based on Qwen2.5-VL-7B. It is a key component of the JanusCoder suite, which aims to establish a unified interface for code intelligence by integrating visual and programmatic capabilities. The model is trained on JANUSCODE-800K, the largest multimodal code corpus to date, which includes data synthesized from standard charts to complex interactive Web UIs and code-driven animations.
Key Capabilities
- Multimodal Code Generation: Generates code from textual instructions, visual inputs, or a combination of both.
- Flexible Content Creation: Capable of producing diverse outputs such as data visualizations and interactive front-ends.
- Precise Visual Editing: Supports program-driven editing of visual effects and complex animation construction.
- High Context Length: Features a 32768-token context window, enabling processing of extensive inputs.
Good For
- Developers requiring code generation from visual specifications or mixed-modality prompts.
- Applications involving the creation of interactive web interfaces and data visualizations.
- Tasks that demand precise programmatic control over visual effects and animations.
- Research and development in multimodal code intelligence and human-computer interaction.