modelscope / modelscope/ms-swift
多模态数据支持离线cpu packing
Open
Nobody has claimed this yet.
stale
- Dominant language
- Python
- Stars
- 15.7k
- Forks
- 1.7k
- Avg merge
- 1d 16h
- Merged PRs (30d)
- 136
Description
Describe the feature
多模态数据支持离线cpu packing，用于加速mllm的大规模训练
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
No files, tests, or entry points are identified. Start by locating the multimodal data-loading and large-scale training paths, then determine where offline CPU packing would fit. Done means multimodal data can be packed offline on CPU and used to accelerate large-scale MLLM training, with evidence of the intended speedup.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning, performance
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100