关于GCU、沐曦GPGPU、MLU、0卡V100资源4月7日恢复上架的公告>>> 关于共建具身智能开源数据集的倡议>>> 关于云脑任务中统一路径访问方式的公告>>> 关于将启智集群GPU资源迁移至智算集群的公告>>>
FoundationModel
/
GLM-130B
mirror of https://github.com/THUDM/GLM-130B.git
Not watched
7
1
Fork 2
Code
Releases 0 Wiki Activity
Issues 0 Datasets Model Cloudbrain
You can not select more than 25 topics Topics must start with a chinese character,a letter or number, can include dashes ('-') and can be up to 35 characters long.
92 Commits
5 Branches
9.0 MiB
17 Download
 
 
 
 
 
 
Branch: main
Branches Tags
${ item.name }
Create branch ${ searchTerm }
from 'main'
${ noResults }
GLM-130B/logs
Aohan Zeng 9fd8394f1b
Update links 		1 year ago
..
README.md Update links 1 year ago
main-log-en.md update English version of the training logs 1 year ago
main-log.md Initial commit 1 year ago

README.md

Training Logs

main-log.md contains detailed information about each restart of training during GLM-130B training.

Tensorboard logs is available at here.

Delete task

Are you sure you want to delete this task? Once this task is deleted, it cannot be recovered.

cancel
confirm

GLM-130B 是一个开源开放的双语（中文和英文）双向稠密模型，基于 GLM 架构，拥有 1300 亿参数。它旨在支持在一台 A100（40G * 8） 或 V100（32G * 8）服务器上对千亿规模参数的模型进行推理。

Python Markdown Shell Cuda Text other

Please read the following content carefully:

Dear OpenI User

Thank you for your continuous support to the Openl Qizhi Community AI Collaboration Platform. In order to protect your usage rights and ensure network security, we updated the Openl Qizhi Community AI Collaboration Platform Usage Agreement in January 2024. The updated agreement specifies that users are prohibited from using intranet penetration tools. After you click "Agree and continue", you can continue to use our services. Thank you for your cooperation and understanding.

For more agreement content, please refer to the《Openl Qizhi Community AI Collaboration Platform Usage Agreement》

Agree and continue
Disagree, exit