[Feature]: Save important AutoRound hyperparameters in the llmc format, just like in the AutoRound format.
Maintainers usually reply within 1 day
Assessment
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Newbie friendliness
- 45/100
- Issue type
- Feature
- Clarity
- Mostly clear
- Activity status
- Active
- Tech stack
- python
- Domain
- machine-learning
Research direction
The issue asks for the iters and lr hyperparameters to be written into config.json in the llmc export format, matching what the AutoRound format already does. Start by finding where the AutoRound format writes these values to config.json and where the llmc format writes its config, then compare the two. Done means a quantized model exported in llmc format has iters and lr in its config.json, confirmed by a test or a saved export.
Written by the indexing model from the issue text.
Description
Feature Description
iters ,lr,etc to config.json, thus we could easily know how the model is quantized
Motivation and Use Case
~
Alternatives Considered
No response
Definition of Done
No response
Additional Context
No response
- Dominant language
- Python
- Stars
- 1.7k
- Forks
- 193
- Avg merge
- 2d 4h
- Merged PRs (30d)
- 52
Getting set up
- No Dockerfile or Docker Compose file
- Has a pull request template
- Read the contributing 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.
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