OptimalScale / OptimalScale/LMFlow

About using multiple GPUs to do lisa fine-tuning

Open
#774 4 comments 0 reactions 0 assignees View on GitHub

Nobody has claimed this yet.

Dominant language
Python
Stars
8.5k
Forks
822
PR merge metrics
No merged PRs in 30d

Description

If there are multiple GPUs, using the lisa method is also a direct script./scripts/run_finetune_with_lisa.sh? Do I need to set multi-GPU parameters?

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

Start with scripts/run_finetune_with_lisa.sh and inspect the LISA fine-tuning entry point for its handling of multiple GPUs. Confirm whether additional multi-GPU parameters are required, then clarify the supported invocation and expected setup in the issue documentation.

Written by the indexing model from the issue text.

Assessment

Tech stack
python, pytorch, shell
Domain
machine-learning
Issue type
Documentation
Difficulty
3/5
Estimated time
1-2 days
Activity status
Stale
Clarity
Mostly clear
Newbie friendliness
35/100

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.