Yi-VL-34B

Maintainer: 01-ai

Total Score

243

Last updated 5/28/2024

🛠️

PropertyValue
Model LinkView on HuggingFace
API SpecView on HuggingFace
Github LinkNo Github link provided
Paper LinkNo paper link provided

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Model overview

The Yi-VL-34B model is the open-source, multimodal version of the Yi Large Language Model (LLM) series developed by the team at 01.AI. This model demonstrates exceptional performance, ranking first among all existing open-source models in the latest benchmarks including MMMU in English and CMMMU in Chinese. It is the first open-source 34B vision language model worldwide.

The Yi-VL series includes several model versions, such as the Yi-VL-34B and Yi-VL-6B. These models are capable of multi-round text-image conversations, allowing users to engage in visual question answering with a single image. Additionally, the Yi-VL models support bilingual text in both English and Chinese.

Model inputs and outputs

Inputs

  • Text prompts
  • Images

Outputs

  • Text responses based on the provided inputs

Capabilities

The Yi-VL-34B model can handle multi-round text-image conversations, allowing users to engage in visual question answering with a single image. The model also supports bilingual text in both English and Chinese, making it a versatile tool for cross-language communication.

What can I use it for?

The Yi-VL-34B model can be used in a variety of applications that require multimodal understanding and generation, such as visual question answering, image captioning, and language-guided image editing. Potential use cases include building interactive chatbots, developing AI-powered virtual assistants, and creating educational or entertainment applications that seamlessly integrate text and visual content.

Things to try

Experiment with the Yi-VL-34B model's capabilities by engaging in multi-round conversations about images, asking questions about the content, and exploring its ability to understand and respond to both text and visual inputs. Additionally, try using the model's bilingual support to converse with users in different languages and facilitate cross-cultural communication.



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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