Comments (2)
Yes, the training code will be released soon. The current training pipeline we are using is too complex and difficult to be extended. For this reason, we are in the process of refactoring an open-source version that will be more user-friendly.
Stay tuned!
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We have just updated the code for instruction tuning. Please refer to the README for more details.
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Related Issues (20)
- Can you release the pre-trained ckpt (without sft) for mplug-owl2?
- RuntimeError: indices should be either on cpu or on the same device as the indexed tensor (cpu) HOT 2
- unable to load model HOT 3
- Encountered flash_attn_2_cuda error while running finetune_lora.sh HOT 1
- cur_input_embeds = torch.cat([cur_input_embeds_1, cur_image_features[0:0], cur_input_embeds_2], dim=0),其中cur_image_features[0:0]表示这是一个没有维度的向量,图像的特征并没有真正加进去 HOT 1
- implementation of pre-training stage
- The Quick Start Code cannot be executed in mPLUG-Owl2 HOT 8
- RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cuda:2 and cuda:0! (when checking argument for argument weight in method wrapper_CUDA__cudnn_convolution)
- 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
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