[Bugfix]Fix Phi-3 BNB online quantization

[jeejeelee]

FIX #9937

Work

• 1. Fix Phi-3 BNB config
• 2. For current models like Phi-3,Baichuan, ChaGLM, there is a bug in BNB quantization. This is because their merged linear( mlp )weights are already merged in the disk, and the current BNB implementation doesn't account for this scenario,fix this

TODO

For these types of models, there is still a remaining issue regarding TP weight partitioning during online quantization. This will be addressed in the following PR.

ping @mgoin

[github-actions]

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[Isotr0py]

FYI, I have implemented the TP support for Phi-3 BNB in my branch, it might be useful for addressing the issue you mentioned: https://github.com/Isotr0py/vllm/blob/79f0b5f725ea74f19d8f4a73b9c9df72fb3ac605/vllm/model_executor/model_loader/loader.py#L909-L934

[jeejeelee]

FYI, I have implemented the TP support for Phi-3 BNB in my branch, it might be useful for addressing the issue you mentioned: https://github.com/Isotr0py/vllm/blob/79f0b5f725ea74f19d8f4a73b9c9df72fb3ac605/vllm/model_executor/model_loader/loader.py#L909-L934

thanks,I will look at this asap

[jeejeelee]

@Isotr0py Very useful code, thank you. PS: I've seen your PR before, but I completely forgot about it, my bad!

[mgoin]

Thanks for improving the comments as well