Comments (2)
Hello.
When you are launching the latest version of Video-LLaMA, you should use the VL & AL checkpoints aligned with the same language decoder (because the VL branch and the AL branch share the language decoder). So, for your first question, the answer is NO.
For your second question, the *-vicuna13b-v2 checkpoints (for VL branch) were uploaded to Hugging Face in the previous release where our Video-LLaMA only contained one VL branch at that time (i.e., without audio support).
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OK,get,thanks
from video-llama.
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?
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- inf value occurs during forwarding process when fine-tuning VL branch with LLAVA-150K+MiniGPT4-3.5K+webvid-instruct HOT 1
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