deepseek vl

We have hosted the application deepseek vl in order to run this application in our online workstations with Wine or directly.

Quick description about deepseek vl:

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: