deepspeedai / deepspeedai/DeepSpeed

[BUG] Why are the checkpoints saved during deepspeed-zero0 training larger than the safetensors of the original base model?

Open
#7,471 0 comments 0 reactions 0 assignees View on GitHub

Nobody has claimed this yet.

bug training
Dominant language
Python
Stars
43.1k
Forks
5k
Avg merge
4d 15h
Merged PRs (30d)
112

Description

Describe the bug
A clear and concise description of what the bug is.

To Reproduce
Steps to reproduce the behavior:

  1. Go to '...'
  2. Click on '....'
  3. Scroll down to '....'
  4. See error

Expected behavior
A clear and concise description of what you expected to happen.

ds_report output
Please run ds_report to give us details about your setup.

Screenshots
If applicable, add screenshots to help explain your problem.

System info (please complete the following information):

  • OS: [e.g. Ubuntu 18.04]
  • GPU count and types [e.g. two machines with x8 A100s each]
  • Interconnects (if applicable) [e.g., two machines connected with 100 Gbps IB]
  • Python version
  • Any other relevant info about your setup

Launcher context
Are you launching your experiment with the deepspeed launcher, MPI, or something else?

Docker context
Are you using a specific docker image that you can share?

Additional context
Add any other context about the problem here.

Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

The report names no source files, tests, or concrete reproduction steps; start by collecting the requested ds_report output and complete checkpoint details. Compare the deepspeed-zero0 checkpoint with the original safetensors and document a reproducible case, with the size discrepancy explained or a focused failing test identified as done.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
distributed-systems, machine-learning
Issue type
Bug
Difficulty
5/5
Estimated time
Over a week
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
15/100

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.