Comments (4)
If it's a bloom model you can use this: https://github.com/huggingface/transformers/blob/main/src/transformers/models/bloom/convert_bloom_original_checkpoint_to_pytorch.py
Else I have been using the below command with below repo sucessfully
https://github.com/TurkuNLP/Megatron-DeepSpeed
python Megatron-DeepSpeed/tools/convert_checkpoint/deepspeed_to_transformers.py --input_folder checkpoints_2b855b55bc4ul2ndfixnew/global_step52452 --output_folder lm5-2b8-55b-c4/transformers --target_tp 1 --target_pp 1
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@Muennighoff Thanks for you reply! Could you tell me the version of Transformers?
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I'm using the latest one i.e. 4.26.1
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thanks ! the first method is successful, but the second method is also failed :(
I encounter a ValueError: too many values to unpack (expected 2)
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Related Issues (20)
- Were the checkpoints selected based on the held-out performance or seen task performance? HOT 2
- How to fineutne mT0 with specific down-stream data? HOT 3
- Questions on creating instruction data HOT 1
- Use Petals without sharing GPU HOT 11
- Controlled generation HOT 1
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- how to repreduce bloomz-* HOT 6
- mT0-xxl finetuning HOT 6
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- Dose mt0&bloomz trained on dev, devtest datasets of Flores-200? HOT 2
- Parsing the xP3 dataset HOT 1
- Getting machine-translated prompts of xP3mt HOT 4
- P3megds URL is not available HOT 1
- Some datasets are not in xP3all HOT 4
- What is the training config? HOT 3
- I can't find the model weights that you used for experimentation. HOT 1
- Quesiton about MTFDataset HOT 1
- Why does the number of templates differ between languages? HOT 4
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