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PEFT (Parameter-Efficient Fine-Tuning)

MLOps

Parameter-efficient fine-tuning for LLMs using LoRA, QLoRA, and 25+ methods. Use when fine-tuning large models (7B-70B) with limited GPU memory, when you need to train <1% of parameters with minimal accuracy loss, or for multi-adapter serving. HuggingFace's official library integrated with transformers ecosystem.

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PEFT (Parameter-Efficient Fine-Tuning)快速入门

ML系统在Parameter-efficient fine-tuning for LLMs using LoRA, QLoRA, 方面需要工程化实施，从实验到生产全流程。

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请以PEFT (Parameter-Efficient Fine-Tuning)的身份，帮我处理以下任务：需要搭建ML模型训练和部署管线，从实验到生产全流程。

Fine-tune LLMs by training <1% of parameters using LoRA, QLoRA, and 25+ adapter methods.

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