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LLaMA-Factory-Mirror
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Merge pull request #3876 from dongdongqiang2018/main 

added adapted to 910B image
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hoshi-hiyouga 2024-05-24 01:54:30 +08:00 committed by GitHub
parent de0e67aff1 2f68a71fc0
commit a506f3628b
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2 changed files with 2 additions and 2 deletions
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README.md
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@ -359,7 +359,7 @@ To utilize Ascend NPU devices for (distributed) training and inference, you need
Docker image: Docker image:
- 32GB: [Download page](http://mirrors.cn-central-221.ovaijisuan.com/detail/130.html) - 32GB: [Download page](http://mirrors.cn-central-221.ovaijisuan.com/detail/130.html)
- 64GB: Coming soon - 64GB: [Download page](http://mirrors.cn-central-221.ovaijisuan.com/detail/131.html)
Remember to use `ASCEND_RT_VISIBLE_DEVICES` instead of `CUDA_VISIBLE_DEVICES` to specify the device to use. Remember to use `ASCEND_RT_VISIBLE_DEVICES` instead of `CUDA_VISIBLE_DEVICES` to specify the device to use.

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README_zh.md
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@ -359,7 +359,7 @@ pip install https://github.com/jllllll/bitsandbytes-windows-webui/releases/downl
Docker 镜像： Docker 镜像：
- 32GB：[下载地址](http://mirrors.cn-central-221.ovaijisuan.com/detail/130.html) - 32GB：[下载地址](http://mirrors.cn-central-221.ovaijisuan.com/detail/130.html)
- 64GB：敬请期待 - 64GB：[下载地址](http://mirrors.cn-central-221.ovaijisuan.com/detail/131.html)
请记得使用 `ASCEND_RT_VISIBLE_DEVICES` 而非 `CUDA_VISIBLE_DEVICES` 来指定您使用的设备。 请记得使用 `ASCEND_RT_VISIBLE_DEVICES` 而非 `CUDA_VISIBLE_DEVICES` 来指定您使用的设备。