i have built an app to quantize and distill models
Nobody has claimed this yet.
- Dominant language
- C++
- Stars
- 13.4k
- Forks
- 2.4k
- Avg merge
- 5d 3h
- Merged PRs (30d)
- 2
Description
I’d appreciate any help in improving my application, which I’ve been building on my own to make it easy for people to quantize and distill models with just one click. I’ve added multiple strategies and done extensive research, even though before starting this project I had never actually done any quantizing or distilling myself. My background is in building and deploying AI applications, so I decided to give this a try. I’ve reached out to plenty of developers for help but have mostly been ignored, which has been really frustrating. My main goal is to help people run heavier AI workflows on less powerful NVIDIA GPUs. this is my repository https://github.com/manat0912/QTinker.git
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
The issue does not name a TensorRT file, test, or concrete change; it links to the external QTinker repository instead. Review that repository first and identify whether there is a specific TensorRT integration request, with an agreed scope and completion criteria, before starting work.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- machine-learning
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 15/100