GPU memory keeps growing with more talks, but the GPU memory is not released when the tallk is closed.
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- Dominant language
- Python
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Description
I used the local model about 40GB, then increased it to 50GB as the coversation increased, but couldn't free the GPU when exited the conversations
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First steps
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Research direction
The report names no files, tests, or entry points. First reproduce the local-model conversation growth and identify the serving and conversation-close path responsible for GPU allocation; done means GPU memory is released after a conversation is exited without regressing continued local-model use.
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