OpenGVLab / OpenGVLab/InternVideo
Internvideo2.5显存占用情况
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Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 2.4k
- Forks
- 160
- PR merge metrics
- No merged PRs in 30d
Description
我想在一张4090 24g上跑InternVideo2_5_Chat_8B，报段错误(核心已转储)，是不是显存不够？
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
The report only identifies InternVideo2_5_Chat_8B, a 24 GB RTX 4090, and a segmentation fault; it names no files, tests, or entry points. Start by locating the model's documented inference entry point and reproducing the run while recording memory use and the crash output. Done means the cause is identified and the supported memory or configuration guidance is documented.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- computer-vision, machine-learning
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100