Chameleon 7B
Meta AI
• Framework: UnknownChameleon 7B is a multimodal foundation model developed by Meta AI that unifies text, image, and code understanding within a single early-fusion transformer architecture. Designed for cross-modal reasoning, it achieves 83.4% on ScienceQA and 58.7% on MathVista benchmarks, showcasing strong performance in visual question answering, mathematical reasoning, and code understanding. By processing multiple input types simultaneously, Chameleon 7B enables seamless contextual alignment across visual and textual data. This open-source model supports tasks like captioning, visual comprehension, document reasoning, and multimodal problem-solving, making it a valuable tool for AI research and enterprise applications.
Chameleon 7B AI Model
Model Performance Statistics
Views
Released
Last Checked
Version
- Multimodal reasoning
- Code generation
- Visual QA
- Parameter Count
- N/A
Dataset Used
Multimodal instruction datasets
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