thu-ml / thu-ml/TurboDiffusion
Sparse Linear Layer weights are 0 for 14B 480p model
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Description
I downloaded them from Huggingface and upon inspection I noticed that layers with "local_attn" in their names are just 0 for 14B 480p model. This is not the case for 1.3B model. I was wondering if this is intended, or should I load it differently? I used regular torch.load to obtain state dictionary.
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First steps
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Research direction
Start by comparing the Hugging Face 14B 480p checkpoint with the 1.3B model, focusing on state-dictionary layers whose names contain "local_attn" and the regular torch.load path. Done means determining whether the zero weights are intentional or whether the checkpoint requires a different loading procedure.
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Assessment
- Tech stack
- python, pytorch
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100