Comments (1)
Thank you for your attention. Technically it is frame-aware because we add absolute frame positional embeddings over the frame tokens, however, as the training data for teaching the model to be aware of different frames is rare, this capability is supposed to be very weak.
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Related Issues (20)
- RuntimeError: Error(s) in loading state_dict for LlamaForCausalLM: size mismatch for model.embed_tokens.weight: copying a param with shape torch.Size([32001, 4096]) from checkpoint, the shape in current model is torch.Size([32000, 4096]). size mismatch for lm_head.weight: copying a param with shape torch.Size([32001, 4096]) from checkpoint, the shape in current model is torch.Size([32000, 4096]).
- Dear author, How much time does it cost to train this model? With what type of GPU cards?
- Unable to access LLaMA weights to build Vicuna-7B HOT 1
- inf value occurs during forwarding process when fine-tuning VL branch with LLAVA-150K+MiniGPT4-3.5K+webvid-instruct HOT 1
- example model deployment
- A demo without gradio HOT 1
- multi-cards training
- Hugging Face demo runtime error HOT 2
- How to select the video encoder of the chinese version with BiLLA or Ziya ? HOT 2
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- What is the input sample of the forward function in videollama HOT 1
- 如何提升下游任务上finetune的效果
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- Is video-LLaMA capable of comprehending videos that have faces surrounded by bounding boxes(face recognition)
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- Compatibility b/w torch and torchvision?
- .
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