Added 4-bit quantization support for local fine-tuning #8107
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asad-aali
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Oh wow, super cool, thanks @asad-aali !! Tagging @Ziems |
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This PR adds optional 4-bit quantization via
BitsAndBytesConfigintrain_sft_locallywithinlm_local.py. Whenuse_quantization=Trueis passed intrain_kwargs, the model is loaded in 4-bit (NF4) with double quantization, enabling memory-efficient fine-tuning of LLMs on limited hardware.