Comments (1)
Not tested this before. I suggest you try our Video-LLaMA with transformers==4.28.0 first and then upgrade transformers to 4.29.x to compare the difference between the model outputs. If there exists any unexpected result, feel free to create a PR.
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Related Issues (20)
- 如何部署LLama2训练出的video llama?
- 能否更新下README HOT 1
- 训练获取Dataloader中 的数据出错
- Do you have any plans to open-source the pre-training and fine-tuning checkpoints based on Llama 2 Chinese version?
- Interesting prompt template HOT 1
- Gradio does not work, stuck on uploading forever. HOT 1
- change the frames and query_tokens size
- Multiple Video-Text pair Support HOT 1
- The question about llama parameters during pre-training and fine-tuning. HOT 2
- Hugging Face Spaces not working! HOT 1
- Prompt
- How to finetune video-llama using deepspeed?
- Very poor audio understanding HOT 1
- 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
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