QLoRA fin-tunes a custom model with 4-bits, and inference the video, then we got :
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RuntimeError: Error(s) in loading state_dict for Videollama2MistralForCausalLM:
size mismatch for model.mm_projector.readout.0.weight: copying a param with shape torch.Size([4096, 4096]) from checkpoint, the shape in current model is torch.Size([8388608, 1]).
size mismatch for model.mm_projector.readout.2.weight: copying a param with shape torch.Size([4096, 4096]) from checkpoint, the shape in current model is torch.Size([8388608, 1]).
RuntimeError: Error(s) in loading state_dict for Videollama2MistralForCausalLM: size mismatch for model.mm_projector.readout.0.weight: copying a param with shape torch.Size([4096, 4096]) from checkpoint, the shape in current model is torch.Size([8388608, 1]). size mismatch for model.mm_projector.readout.2.weight: copying a param with shape torch.Size([4096, 4096]) from checkpoint, the shape in current model is torch.Size([8388608, 1]).
Hello,I'm a phD student from ZJU, I also use videollama2 to do my own research,we create a WeChat group to discuss some issues of videollama2 and help each other,could you join us? Please contact me: WeChat number == LiangMeng19357260600, phone number == +86 19357260600,e-mail == liangmeng89@zju.edu.cn.