deepspeedai / deepspeedai/DeepSpeed
[BUG] run_zero_quant.sh seems not working
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Description
Describe the bug
I am trying run_zero_quant for GPT-J model, but I find the output model size is not compressed, the model file size is the same as origin model, also after I load the model, the GPU memory is the same as origin model,
To Reproduce
Steps to reproduce the behavior:
- Go to DeepSpeedExamples/model_compression/bert
- Run:
pip install -r requirements.txt
bash bash_script/run_zero_quant.sh
If I don't do any change to sh, it will use origin gpt-2 model, also I tried gpt-j model. Neither output model file size are compressed
Is there a bug? Could you please check if this issue can be reproduced?
Contributor guide
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 in DeepSpeedExamples/model_compression/bert and inspect bash_script/run_zero_quant.sh, first reproducing the GPT-2 and GPT-J runs described. Compare the saved model size and GPU memory after loading with the original model. Done means determining whether the script produces a quantized model and documenting or fixing the discrepancy with a focused check.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning, performance
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 25/100