[WIP] Generalize AWQ quantization #1961
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Signed-off-by: Kyle Sayers <[email protected]>
Signed-off-by: Kyle Sayers <[email protected]>
Signed-off-by: Kyle Sayers <[email protected]>
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👋 Hi! Thank you for contributing to llm-compressor. Please add the ready label when the PR is ready for review. Note: This is required to complete the testing suite, please only add the label once the PR is code complete and local testing has been performed. |
kylesayrs
commented
Oct 29, 2025
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| # [STEP 1]: Compute per-channel mean of normalised weights | ||
| # All layer weights are concatted together | ||
| weight = torch.cat([bl.weight for bl in balance_layers], dim=0) |
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Rather than concatting all these and using a ton of memory, we should just compute the mean/sum of each weight individually, then mean those.
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