This is a simplified guide to an AI model called Qwen-Vl-Chat maintained by Nomagick. If you like these kinds of analysis, you should join AImodels.fyi or follow us on Twitter.
Model overview
qwen-vl-chat is a multimodal LLM-based AI assistant, developed by nomagick, which is trained with alignment techniques. It supports more flexible interaction, such as multi-round question answering and creative capabilities, compared to the base qwen-vl model.
Similar models include qwen-14b-chat and chatglm2-6b, both of which are large language models focused on open-ended dialogue. qwen-14b-chat is a text-only model, while chatglm2-6b is a bilingual chat LLM. majicmix is a separate model for generating new images from text prompts.
Model inputs and outputs
qwen-vl-chat accepts a variety of inputs, including images, text, and bounding boxes. It can output text, bounding boxes, and even generate images in response to prompts. The model is designed to excel at tasks like visual question answering, text recognition, and multimodal storytelling.
Inputs
- Image: An image provided as a URL or local file path
- Text: A text prompt for the model to respond to
- Bounding box: Coordinates for a bounding box in an image
Outputs
- Text: The model's response to the given prompt
- Bounding box: Detected bounding boxes with corresponding text labels
- Image: Generated images (in some configurations)
Capabilities
qwen-vl-chat has strong performance ...
Top comments (0)