Efficient ChatGLM Fine-tuning Tool Based on PEFT
ChatGLM-Efficient-Tuning is a project aimed at optimizing the fine-tuning of the ChatGLM-6B model. By utilizing Parameter-Efficient Fine-Tuning (PEFT) techniques, it can significantly reduce training time and resource requirements while maintaining model performance. This project is suitable for researchers and developers who wish to quickly fine-tune large language models with limited resources.
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