Making LLMs even more accessible with bitsandbytes, 4-bit quantization and QLoRA

In three linesHugging Face introduces 4-bit quantization with bitsandbytes and QLoRA to reduce LLM memory requirements. The technique enables fine-tuning 65B parameter models on a single 24GB GPU, making training accessible to more users.

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