Future plans and the project general idea
- Dominant language
- Python
- Stars
- 100
- Forks
- 30
- Avg merge
- 3d 14h
- Merged PRs (30d)
- 1
Description
Hello, thank you for your great work. I really liked this project and would gladly contribute to it's development. Looks like that now the project is mainly focused on multi-gpu setups (correct me if I'm wrong). Thus the question is: is it a priority to support more lite setups. It would be cool to add the support of cases where one card is being used to launch several models (and therefore not 100% of memory is available for this model), because as I can see KV Cache now occupies all the remaining memory. And also I'd like to see more graphic cards available (I'm personally interested in A100). What do you think about all of this, let me know if it's not a priority or if you have another view on this project.
Contributor guide
No contributing guide indexed for this repository
Research direction
The issue names no files, tests, or entry points. Start by reviewing the project’s current GPU and KV-cache support to determine how multi-model single-card use and additional cards such as A100 fit the simulator. The scope and acceptance criteria need maintainer agreement before implementation can begin.
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
- Quiet
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100