eagle3 vlm训练，数据预处理过程很慢，而且内存占用很高
Open
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 1.7k
- Forks
- 181
- Avg merge
- 1d 3h
- Merged PRs (30d)
- 2
Description
This issue has no description.
Contributor guide
No contributing guide indexed for this repository
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 by locating the Eagle3 VLM training data-preprocessing entry point and measuring its runtime and memory use on the reported workflow. The issue provides no file or test to run, so completion would require confirming that preprocessing is faster and uses less memory without breaking training.
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
- Needs clarification
- Newbie friendliness
- 25/100