Add 4-bit Groupwise Weight-Only Quantization for Core ML #4866
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/4866
Note: Links to docs will display an error until the docs builds have been completed. ⏳ No Failures, 30 PendingAs of commit ac94cd9 with merge base d3da92d ( This comment was automatically generated by Dr. CI and updates every 15 minutes. |
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Turns out, we may prefer Core ML quantization at this moment. Landed the alternative in #5228 Locally confirmed performance gain & accuracy preservation |
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4-bit groupwise weight-only quantization is well supported in Core ML. Since torchao offers the same quantization, let's use torchao to quantize llama then delegate to Core ML.