Inquiry about training compute setup
Nobody has claimed this yet.
Assessment
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Newbie friendliness
- 25/100
- Issue type
- Documentation
- Clarity
- Mostly clear
- Activity status
- Stale
- Domain
- documentation, machine-learning
Research direction
The issue names no file, test, or entry point. Start by reviewing the repository's available training documentation or experiment records for GPU type, count, and per-stage and overall training time. Done means those requested compute details are documented, but the issue is 394 days old and has only one comment.
Written by the indexing model from the issue text.
Description
Hey, thanks a ton for open-sourcing this — awesome work!
I was curious if you could share a bit about the compute setup you used to train the model:
-
what kind of GPUs you ran on (and how many)
-
about how long training took (days or GPU hours) , both per stage and overall
Just trying to get a sense of the scale involved. Appreciate any details you can share!
- Dominant language
- Python
- Stars
- 875
- Forks
- 43
- PR merge metrics
- No merged PRs in 30d
Contributor guide
No contributing guide indexed for this repository
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
More from SkyworkAI/UniPic
-
Difficulty 4/5 3-5 days Newbie friendliness 25/100
-
Difficulty 2/5 1-3 hours Newbie friendliness 45/100
-
Difficulty 5/5 Over a week Newbie friendliness 15/100
-
Difficulty 5/5 Over a week Newbie friendliness 25/100
-
Difficulty 5/5 Over a week Newbie friendliness 10/100
All issues in SkyworkAI/UniPic
Similar issues
-
Difficulty 2/5 1-3 hours Newbie friendliness 74/100
bancolombia/sentinel#23 ·
-
test md OpenCI
Difficulty 2/5 1-3 hours Newbie friendliness 74/100
-
integration:quickjs org:external priority:backlog topic:code-interpreter topic:middleware type:feature
Difficulty 2/5 1-3 hours Newbie friendliness 74/100
langchain-ai/deepagents#6450 ·
-
bug client
Difficulty 2/5 1-3 hours Newbie friendliness 88/100
-
Difficulty 2/5 1-3 hours Newbie friendliness 74/100