Comments (7)
einsflash
commented on July 21, 2024
没事了
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zephyrkz
commented on July 21, 2024
你怎么解决的呀
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einsflash
commented on July 21, 2024
我看b站别人发的，在web_demo.py或者demo2.py里最开头加个东西（适用n卡）
量化要8g显存
model = AutoModel.from_pretrained("E:\Chatglm3\chatglm3-6b", trust_remote_code=True).quantize(8).half().cuda()
不加量化要13g显存
model = AutoModel.from_pretrained("E:\Chatglm3\chatglm3-6b", trust_remote_code=True).cuda()
"E:\Chatglm3\chatglm3-6b"是下载的11个g的模型目录
https://huggingface.co/THUDM/chatglm3-6b huggingface里有模型
然后tokenizer里的目录也要改
tokenizer = AutoTokenizer.from_pretrained("E:\Chatglm3\chatglm3-6b", trust_remote_code=True)
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scut-pzy
commented on July 21, 2024
我按照题主的方法试过没啥用啊，题主能具体命令也说一下吗
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einsflash
commented on July 21, 2024
我当时看的这个视频
https://b23.tv/LRDA0vR
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scut-pzy
commented on July 21, 2024
跑起来但是只要一提问，量化要19g显存，非量化23G现存，有什么头绪吗
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einsflash
commented on July 21, 2024
不清楚，我3070 8g能跑，不量化就是13g加上内存一起跑
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