[CoreML] quantizer supports 4-bit affine (groupwise and channelwise)
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- Dominant language
- Python
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Description
🚀 The feature, motivation and pitch
Add 4-bit support to PT2E CoreMLQuantizer
Alternatives
No response
Additional context
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RFC (Optional)
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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 locating the PT2E CoreMLQuantizer entry point and reading how its existing affine quantization support is structured. Then inspect nearby quantizer tests, if present, for groupwise and channelwise cases; done means both modes support 4-bit quantization with passing coverage.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100