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teowu commited on Feb 26

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@@ -21,7 +21,7 @@ Great thanks to the research GPU grants!
 ### 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.*

 ### 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`: AutoModel for Low-level Visual Dialog (Description, Comparison, Question Answering). Trained with the scaled Co-Instruct-562K 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.*