#89 · Primary category: Foundation Models

DeepSeek-VL

foundation-models vision-language-model vision-language-pretraining

DeepSeek-VL: Towards Real-World Vision-Language Understanding

Project last updated:04/24/24

GitHub Stars

4.2K

Forks

597

Contributors

7

License

MIT

Why we included this project

DeepSeek-VL is an open vision-language model you can download, run, and fine-tune yourself instead of only calling through an API. It combines a hybrid vision encoder with the DeepSeek language backbone, and the design leans toward real workloads: it accepts 1024x1024 images within a fixed token budget, and the training mix covers web screenshots, PDFs, OCR output, charts, and textbooks. That makes it a reasonable fit for document understanding, reading formulas and diagrams, and answering questions about images. Both 1.3B and 7B checkpoints are available, so a small team can start with the lighter one and move up later. The repo ships model downloads, a quick-start guide, and a hosted demo, which makes it easy to try before investing in a bigger setup.

Articles for this project

No articles for this project yet.

To suggest a topic or contribute an article, contact us.

Related projects in this category