size mismatch for base model
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Assessment
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Newbie friendliness
- 25/100
- Issue type
- Bug
- Clarity
- Needs clarification
- Activity status
- Stale
- Tech stack
- python, pytorch
- Domain
- machine-learning
Research direction
Start from the inference initialization path that loads the provided base_model checkpoint and inspect the keyboard_embed parameter shapes shown in the error. Check how the model configuration and checkpoint define the two extra dimensions, then verify that inference completes without the reported size mismatch.
Written by the indexing model from the issue text.
Description
Hi, when I use the provided base_model to make an inference, during initialization, it report an error
size mismatch for blocks.xx.action_model.keyboard_embed.0.weight: copying a param with shape torch.Size([128, 6]) from checkpoint, the shape in current model is torch.Size([128, 4]).
What do these two extra dimensions represent?
Could you please guide me on how to resolve this issue?
I truly appreciate your help.
- Dominant language
- Python
- Stars
- 2.3k
- Forks
- 254
- PR merge metrics
- No merged PRs in 30d
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