Suggested GPU to run the demo code of step2_reward_model_finetuning (DeepSpeed-Chat)
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Assessment
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Newbie friendliness
- 20/100
- Issue type
- Bug
- Clarity
- Needs clarification
- Activity status
- Stale
- Tech stack
- python
- Domain
- machine-learning
Research direction
Start with the step2_reward_model_finetuning instructions and training_scripts/opt/single_gpu/run_350m.sh, then reproduce the out-of-memory failure on the reported V100 setups. Done means identifying a documented configuration that runs successfully or clearly recording the GPU requirements and required changes.
Written by the indexing model from the issue text.
Description
I follow the instructions of this page to do step2_reward_model_finetuning with demo code.
On the Google Cloud platform, I create one instance with a single V100(16GB) and another instance with double V100(16GB). I directly use this command bash training_scripts/opt/single_gpu/run_350m.sh but always meet the out-of-memory issues.
Are there any modifications I could do to run this demo code on double V100(16BG)? Or Are there recommendations about which type of GPU I should use to run this demo code successfully?
Appreciate the help!
- Dominant language
- Python
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- Avg merge
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- Merged PRs (30d)
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