This is the Linux app named DeepSeek VL whose latest release can be downloaded as DeepSeek-VLsourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
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DeepSeek VL
DESCRIPTION
DeepSeek-VL is DeepSeek’s initial vision-language model that anchors their multimodal stack. It enables understanding and generation across visual and textual modalities—meaning it can process an image + a prompt, answer questions about images, caption, classify, or reason about visuals in context. The model is likely used internally as the visual encoder backbone for agent use cases, to ground perception in downstream tasks (e.g. answering questions about a screenshot). The repository includes model weights (or pointers to them), evaluation metrics on standard vision + language benchmarks, and configuration or architecture files. It also supports inference tools for forwarding image + prompt through the model to produce text output. DeepSeek-VL is a predecessor to their newer VL2 model, and presumably shares core design philosophy but with earlier scaling, fewer enhancements, or capability tradeoffs.
Features
- Multimodal model accepting image + text inputs
- Visual grounding: image-based reasoning or captioning support
- Model weight artifacts and benchmark evaluation results
- Inference tooling for multimodal prompts and responses
- Integration-ready design for agent pipelines
- Foundation for newer models (like VL2) to build upon
Programming Language
Python
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/deepseek-vl.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
