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Download README.md from Quislab/README: direct link, hf CLI and curl.
- Browser
- Download file 1.21 kB
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https://huggingface.co/spaces/Quislab/README/resolve/main/README.md
- Command line
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hf download hf://spaces/Quislab/README/README.md
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curl -L -o README.md https://huggingface.co/spaces/Quislab/README/resolve/main/README.md
1.21 kB
| title: Quislab | |
| sdk: static | |
| emoji: 🐢 | |
| colorFrom: red | |
| colorTo: pink | |
| short_description: Internal World Models, Personal AI, Long-Context Inteligence | |
| <div align="center"> | |
| # Quis Lab | |
| [](https://quislab.com/) | |
| --- | |
| </div> | |
| # Who we are | |
| [QuisLab](https://img.shields.io/badge/Website-quislab.com-blue?style=flat-square&logo=google-chrome) is a U.S.-based research lab dedicated to exploring the frontiers of artificial intelligence and advancing the development of Internal World Models (IWM). | |
| Our core research team brings together leading AI researchers and engineers who continuously push the boundaries of Internal World Models, long-context intelligence, multimodal systems, agents, and other emerging areas of AI. | |
| --- | |
| # Open by default | |
| At the same time, Quis remains committed to advancing openness and innovation in AI, contributing cutting-edge models and technical capabilities to the global open-source community. | |
| We believe that what matters most is not following established consensus, but continuously exploring what remains unknown. | |
| [Website](https://quislab.com/) | |
| --- |