--- title: README emoji: 🌍 colorFrom: gray colorTo: red sdk: static pinned: false --- **Our Github Page**: [https://github.com/Q-Future](https://github.com/Q-Future) ### Our Spaces Great thanks to the research GPU grants! - **Q-Align** (*Most Powerful Visual Scorer*): Open in Huggingface Spaces - **Q-Instruct** (*Low-level Vision-Language Assistant/Chatbot, support 1-4 images*): Open in Huggingface Spaces - **Q-Bench** (*Benchmark for General Purpose MLLMs*): Open in Huggingface Spaces ### Our Mainstream Models - `q-future/one-align`: AutoModel for Visual Scoring. Trained with Mixture of existing datasets: See [Github](https://github.com/Q-Future/Q-Align) for details. - `q-future/co-instruct-preview`: AutoModel for Low-level Visual Dialog (Description, Comparison, Question Answering). Trained with the scaled 480K new Q-Instruct dataset (*will also release soon!*). - `q-future/q-instruct-mplug-owl2-1031`: Older version of Q-Instruct, as reported by [**paper**](https://q-future.github.io/Q-Instruct/fig/Q_Instruct_v0_1_preview.pdf). Trained with **released** Q-Instruct-200K dataset. *Though we have other model variants released for the community to replicate our results, please use the previous ones as they are proved to have more stable performance.*