Comments (2)
If you want to use the v0 checkpoint, you could switch to the v0 branch. The latest model has fixed several issues and removed some dependencies that were difficult to install (such as FusedLayerNorm in Apex), making it incompatible with the v0 checkpoint. Converting the v0 checkpoint to fit the current model may result in precision issues.
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Besides, for the latest version we follow the same recipe and no more extra data is used. Sorry for your inconvenience.
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Related Issues (20)
- The code and detailed implementation of Figure 4 and Figure 5 in the paper mPLUG-Owl2 HOT 1
- Is there model checkpoint for multi-language(mainly chinese) videos?
- 对图像进行坐标检测,生成的bbox是resize成正方形之后的值吗? HOT 5
- how to realize multi-image correlation in vqa task? HOT 4
- file configuration_qwen.py not found HOT 1
- No module named 'mplug_owl2.model.multiway HOT 1
- The updated owl2 based on qwen14b? HOT 1
- other downstream tasks available? Like Visual Reasoning, requires the model to predict whether a sentence describes a pair of images HOT 1
- Cannot run inference
- Issue with gradio webui
- cls_token problem with image. HOT 3
- Zero3 train: Invalidate trace cache @ step 391: expected module 25, but got module 5
- Is there any code for fine-tuning the video model?
- QuickStart Code for mplug_owl2.1 has lots of errors. HOT 3
- Please can you split the model into 4GB chunks rather than 1 x 16GB. SafeTensors would be a nice addition also.
- 为什么输出全是英文
- How to do few-shot learning or in-context learning with mPLUG-Owl2?
- ModuleNotFoundError: No module named 'transformers_modules.mPLUG-Owl2'
- mPLUG-Owl2.1输出全是英文
- mplug-owl2-llama2-7b initialization error
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