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[Misc] Update compressed-tensors
WNA16 to support zero-points
#14211
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compressed-tensors
WNA16 to support zero-points
This pull request has merge conflicts that must be resolved before it can be |
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This looks clean and good to me, could you add an e2e/lm-eval test?
vllm/model_executor/layers/quantization/compressed_tensors/schemes/compressed_tensors_wNa16.py
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There is a TODO comment about a more efficient implementation, but we will tackle that at a later date?
Signed-off-by: ElizaWszola <[email protected]>
Signed-off-by: ElizaWszola <[email protected]>
Signed-off-by: Dipika <[email protected]>
Signed-off-by: ElizaWszola <[email protected]>
Signed-off-by: Dipika Sikka <[email protected]>
Signed-off-by: Dipika Sikka <[email protected]>
Signed-off-by: Dipika Sikka <[email protected]>
Do you mind leaving a comment where you see? |
Signed-off-by: Dipika Sikka <[email protected]>
Signed-off-by: mgoin <[email protected]>
Signed-off-by: Dipika Sikka <[email protected]>
Signed-off-by: ElizaWszola <[email protected]>
@brian-dellabetta @dsikka I think it's good enough, it ended up similar to what we do in some other parts of the code. I removed the TODO. |
…-project#14211) Signed-off-by: Yang Wang <[email protected]>
…-project#14211) Signed-off-by: Mu Huai <[email protected]>
Summary
Testing Models: