$ python3 -m pip install SpongeExt --upgrade 1. 没有报错即为安装成功。 使用方法 在开源仓库的example路径中,我们已经存放了一个完整的演示案例。其目录结构大致是这样的: . |-- README.md |-- protein | |-- alad_LJ.txt | |-- alad_angle.txt | |-- alad_atom_name.txt | |-- alad_ato...
You don't need 2.3 to run ExLlamaV2 if you're not installing it with a prebuilt wheel. In fact it likely works with Torch 2.0 and maybe 1.x as well. But I've mostly tested on 2.2 so I set that as a minimum req out of caution. Sadly I don't know of a good way to release...
note:1. 将第一步的https换为git2. 在第三步出错(因为nvidia-smi 版本cuda11.0,但是nvcc --version 版本10.0)再重新安装torch.cuda版本时出错。无法解决。方案:将第三步转为 python setup.py install问题解决。 发布于 2021-05-27 19:54 赞同 分享收藏 写下你的评论... 还没有评论,发表...
Closed Description zccoder Lin-Zhipeng commentedon Dec 7, 2018 Lin-Zhipeng CharlesShang commentedon Dec 7, 2018 CharlesShang everjesse commentedon Dec 7, 2018 everjesse CharlesShang commentedon Dec 7, 2018 CharlesShang CharlesShang commentedon Dec 7, 2018 ...