423A35C7/LLaMA-Factory
1
0
Fork 0
mirror of https://github.com/hiyouga/LLaMA-Factory.git synced 2025-10-15 16:18:10 +08:00
Code Issues Packages Projects Releases Wiki Activity

Merge pull request #3876 from dongdongqiang2018/main

Browse Source 
added adapted to 910B image

Former-commit-id: 0708cc8a24589b9f22ad3df6685e57d1da0336f2
This commit is contained in:
hoshi-hiyouga 2024-05-24 01:54:30 +08:00 committed by GitHub
commit 1078611259
2 changed files with 2 additions and 2 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

2
README.md
View File

@ -359,7 +359,7 @@ To utilize Ascend NPU devices for (distributed) training and inference, you need
Docker image:
- 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.

2
README_zh.md
View File

@ -359,7 +359,7 @@ pip install https://github.com/jllllll/bitsandbytes-windows-webui/releases/downl
Docker 镜像：
- 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。