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Fix Low CPU Memory Mode Issues for Quantized Peft #90

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merged 8 commits into from
Oct 17, 2024
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fabianlim
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@fabianlim fabianlim commented Oct 11, 2024

Since transformers >=0.45 we are having issues with low_cpu_mem_mode as described in #83 . This PR address them

Note: this PR fixes will apply only if the following commits are applied:

Regressionss

Mistral 7B

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Granite 3b

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Signed-off-by: Yu Chin Fabian Lim <[email protected]>
Signed-off-by: Yu Chin Fabian Lim <[email protected]>
Signed-off-by: Yu Chin Fabian Lim <[email protected]>
Signed-off-by: Yu Chin Fabian Lim <[email protected]>
Signed-off-by: Yu Chin Fabian Lim <[email protected]>
Signed-off-by: Yu Chin Fabian Lim <[email protected]>
@fabianlim fabianlim requested a review from anhuong October 14, 2024 06:25
@fabianlim fabianlim marked this pull request as ready for review October 14, 2024 06:25
Signed-off-by: Yu Chin Fabian Lim <[email protected]>
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Left a few questions for my understanding, I don't know if I'm the best person to review this change but overall if the changes were tested and it successfully loaded the model for GPTQ with low_cpu_mem_usage set then that seems good to me

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Thanks for answering my questions, this looks good to me but might want someone else to give it a closer review

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Distributed Training Problems for QLoRA models with Transformers pre-release 4.45
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