Update README.md

README.md

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-Our spaces:
+**Our Github Page**: [https://github.com/Q-Future](https://github.com/Q-Future)
 
-HF Spaces that our group maintains (Great thanks to the research GPU grants!):
+### Our Spaces
+
+Great thanks to the research GPU grants!
 
 - **Q-Align** (*Most Powerful Visual Scorer*): <a href="https://huggingface.co/spaces/teowu/OneScorer"><img src="https://huggingface.co/datasets/huggingface/badges/raw/main/open-in-hf-spaces-sm-dark.svg" alt="Open in Huggingface Spaces"></a>
 - **Q-Instruct** (*Low-level Vision-Language Assistant/Chatbot, support 1-4 images*): <a href="https://huggingface.co/spaces/teowu/Q-Instruct-v1"><img src="https://huggingface.co/datasets/huggingface/badges/raw/main/open-in-hf-spaces-sm-dark.svg" alt="Open in Huggingface Spaces"></a>
 
-Corresponding models:
+
+### 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.