lm-sys / lm-sys/FastChat

load model error when fintuning baichuan-13b

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#2,010 2 comments 0 reactions 0 assignees View on GitHub

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Python
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Description

use train_baichuan.py to finetuning baichuan-13b but :

size mismatch for model.layers.38.mlp.gate_proj.weight: copying a param with shape torch.Size([13824, 5120]) from checkpoint, the shape in current model is torch.Size([13696, 5120])

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First steps

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  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start with train_baichuan.py and reproduce the reported model-loading failure. Compare the checkpoint tensor shape for model.layers.38.mlp.gate_proj.weight with the current model configuration; done means identifying and documenting the configuration or checkpoint mismatch and confirming that the model loads successfully.

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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

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