Comments (1)
I‘ve solved this problem according to https://github.com/facebookresearch/llama/issues/287/, which is due to the damage of tokenizer.model.
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Related Issues (20)
- it seems like you use llava model, I want to know when training model, do you add the position information like " the cat is at [0.2, 0.2, 0.5, 0.5], or without any position information in training?
- Inconsistent performance on MMBench HOT 1
- About accelerate config
- I have collected the download addresses for all the training data and posted them here for others to download conveniently. HOT 3
- training on 8 V100 is too slow, shikra_pretrain_final19_stage2 nearly 800h。 Does anyone have a similar situation?
- Could you share your prompt or code to generate QA data from GPT4
- Inconsistent performance on REC task HOT 4
- Wrong output when the inference stage HOT 1
- training detail HOT 1
- How to make the model accurately output the dimensions of bbox and point
- question about detection
- TypeError: Image.__init__() got an unexpected keyword argument 'source' HOT 2
- When I was creating a demo using "Python mllm/demo/webdemo. py -- model_path/path/to/shikra/ckpt", the following error occurred. HOT 4
- Requirements for the demo HOT 1
- ValueError: Trying to set a tensor of shape torch.Size([32003, 4096]) in "weight" (which has shape torch.Size([32000, 4096])), this look incorrect. HOT 2
- When I run the example in the demo, I get the error.
- train on a single dataset HOT 1
- Custom Dataset Creation
- Can the LLama model here be replaced with GPT-4?
- How to implement cross-modal referencing? HOT 2
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