ml-explore / ml-explore/mlx-examples
Usage of convert and fuse ?
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Description
In the first step, if I didn't use python convert.py -q to generate a quantized model, is that mean it is unnecessay to use -d, --de-quantize parameter to generate a de-quantized model when running the command python fuse.py ?
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
Start by reading convert.py and fuse.py, focusing on the -q and -d/--de-quantize options and how the two commands interact. Confirm the behavior using the commands described in the issue, then document whether de-quantization is needed when conversion did not produce a quantized model.
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Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Documentation
- Difficulty
- 2/5
- Estimated time
- 1-3 hours
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100