Pricing
| Type | Price (per 1M) |
|---|---|
| Input tokens | $0.05 |
| Output tokens | $0.25 |
Capabilities
VisionMultimodalReasoningFunction CallingTool UseJSON ModeCode Execution
About LLaVA 1.6 Vicuna 7B
LLaVA 1.6 Vicuna 7B is a sophisticated multimodal large language model that integrates a Vicuna-7B language model with a high-performing vision encoder, such as CLIP's ViT-L/14. This innovative combination enables it to process and understand both text and image inputs, making it ideal for tasks like image captioning, visual question answering, and multimodal chatbot interactions. It features enhanced image resolution capabilities, improved OCR, and logical reasoning skills, all while maintaining data efficiency. Despite these advancements, users should be aware of its performance variability and computational demands when handling high-resolution images. Being open-source, it invites community collaboration for further enhancements.
Model Specs
Released2024-01-31
Parameters7B
ArchitectureDecoder Only