TIGER-AI-Lab / TIGER-AI-Lab/VideoScore2
About RL training
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- Dominant language
- Python
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- Merged PRs (30d)
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Description
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I'm trying to reproduce the training pipeline. The sft training went well, however the RL training went into OOM.
8 * L40S is used for training. Is it necessary to use 8 * A100 for RL training ? And Is there any alternative to RL train with less GPU occupancy?
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Research direction
The issue does not mention any files, tests, or entry points. Start by locating the RL training pipeline and reproducing the out-of-memory failure with 8 L40S GPUs; done would require confirming the cause and establishing whether a lower-GPU alternative is supported.
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Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100