Fix quantization w/ DeepSpeed not working#32640
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muellerzr wants to merge 2 commits into
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The docs for this PR live here. All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update. |
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This fixed the issue with finetuning I reported here, thanks! |
SunMarc
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Aug 13, 2024
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Thanks for fixing this ! Left a comment
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| if ( | ||
| not (hasattr(model, "hf_quantizer") and model.hf_quantizer.is_trainable) | ||
| and is_deepspeed_zero3_enabled() | ||
| and not getattr(model, "_transformers_zero3_init_used", True) | ||
| ): |
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What's the difference when the model is quantized vs no quantized ?
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For my own understanding - why doesn't the user need to create the model after TrainingArguments in the quantized case but does in the unquantized case? |
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Quantized weights aren't thrown into the |
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Closing since we're doing a full revert |
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What does this PR do?
This PR tweaks the logic check introduced in #32299 to specifically exclude when Zero-3 is enabled and we're using a quantization method (which skips this chunk of the zero3 init use)
Fixes # (issue)
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@SunMarc can you check if what I've done here makes sense given the comment we're trying to fix?
#32299 (comment)
I believe so and I think the test makes sense, but you're quant eyes would be appreciated :)