Yi-VL-6B
Maintainer: 01-ai
109
👨🏫
| Property | Value |
|---|---|
| Model Link | View on HuggingFace |
| API Spec | View on HuggingFace |
| Github Link | No Github link provided |
| Paper Link | No paper link provided |
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Model overview
Yi-VL-6B is the open-source, multimodal version of the Yi Large Language Model (LLM) series, enabling content comprehension, recognition, and multi-round conversations about images. Developed by 01-ai, Yi-VL-6B demonstrates exceptional performance, ranking first among all existing open-source models in the latest benchmarks including MMMU in English and CMMMU in Chinese. The model is based on the LLaVA architecture, which combines a Vision Transformer (ViT), a projection module, and a large language model. This allows Yi-VL-6B to excel at tasks like visual question answering, image description, and multi-round text-image conversations.
Model inputs and outputs
Inputs
- Text: Yi-VL-6B can accept text inputs for tasks like visual question answering and multi-round conversations.
- Images: The model can process images as inputs, supporting a resolution of 448x448 pixels.
Outputs
- Text: Yi-VL-6B generates text outputs in response to the provided inputs, such as answers to visual questions or descriptions of images.
Capabilities
Yi-VL-6B offers a range of capabilities, including multi-round text-image conversations, bilingual text support (English and Chinese), and strong image comprehension. For example, the model can accurately describe the contents of an image, answer questions about it, and engage in follow-up conversations about the visual information.
What can I use it for?
Yi-VL-6B can be a valuable tool for a variety of applications that involve both language and visual understanding, such as:
- Visual question answering: Allowing users to ask questions about the contents of an image and receive detailed, informative responses.
- Image captioning: Generating descriptive captions for images, which can be useful for accessibility, search, or content organization.
- Multimodal task automation: Automating workflows that require both text and visual inputs, such as document processing, inventory management, or customer service.
- Educational and training applications: Enhancing learning experiences by incorporating visual information and enabling interactive question-answering.
Things to try
One interesting aspect of Yi-VL-6B is its ability to handle fine-grained visual details. Try providing the model with high-resolution images (up to 448x448 pixels) and see how it responds to questions that require a deep understanding of the visual elements. You can also experiment with multi-round conversations, where the model demonstrates its capacity to maintain context and engage in extended dialogues about the images.
This summary was produced with help from an AI and may contain inaccuracies - check out the links to read the original source documents!
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