Use PEFT or Full-parameter to finetune 400+ LLMs or 100+ MLLMs. (LLM: Qwen2.5, Llama3.2, GLM4, Internlm2.5, Yi1.5, Mistral, Baichuan2, DeepSeek, Gemma2, ...; MLLM: Qwen2-VL, Qwen2-Audio, Llama3.2-Vision, Llava, InternVL2, MiniCPM-V-2.6, GLM4v, Xcomposer2.5, Yi-VL, DeepSeek-VL, Phi3.5-Vision, ...)
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微调minicpmv2时cpu占用率超高 #1008
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strawhatboy closed 2 months ago
Describe the bug 使用swift sft命令指定dataset 和val_dataset 进行微调:
20 个核心全部占用60%左右
Your hardware and system info CUDA:12.2 系统:Ubuntu22.04 GPU:RTX4090 Torch:2.2.2
Additional context Add any other context about the problem here(在这里补充其他信息)