TIGER-AI-Lab / TIGER-AI-Lab/VLM2Vec
one gpu oom
Open
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 684
- Forks
- 64
- Avg merge
- 8m
- Merged PRs (30d)
- 1
Description
When I train the model using just one gpu, it will occur OOM issue after training several steps. Do you have any idea about this?
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.
Research direction
Start by reproducing the reported training run with one GPU and monitor memory usage across the first several steps. Identify whether memory keeps growing or exceeds available capacity, then verify that the same run completes without an out-of-memory error.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100