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[Bugfix] Only quant-compress modules with weight quantization #387

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Merged
merged 1 commit into from
Jul 11, 2025

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@kylesayrs kylesayrs commented Jul 10, 2025

Purpose

  • Skip compression for attention modules, which have a quantization config but do not have weights to quantize

Changes

  • map_module_to_scheme used to only quantize compress leaf modules. Now, this method only quantize compresses modules with weight quantization

Testing

Signed-off-by: Kyle Sayers <kylesayrs@gmail.com>
@kylesayrs kylesayrs changed the title [Bugfix] Only comp [Bugfix] Only quant-compress modules with weight quantization Jul 10, 2025
@dsikka dsikka merged commit d5aefd7 into main Jul 11, 2025
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@dsikka dsikka deleted the kylesayrs/bugfix-compress-only-weight branch July 11, 2025 18:50
kylesayrs added a commit to vllm-project/llm-compressor that referenced this pull request Jul 11, 2025
…uantization (#1635)

## Purpose ##
* Fix KV cache tests, whose models only have activation quantization

## Background
Previously, `is_model_quantized` would only check for quantization on
leaf modules. Now it checks on attention modules as well, but since we
have examples of attention modules with only activation quantization,
this triggers a bug in `infer_quantization_format`

## Testing ##
* Requires neuralmagic/compressed-tensors#387 to
pass KV cache tests

---------

Signed-off-by: Kyle Sayers <kylesayrs@gmail.com>
Co-authored-by: Dipika Sikka <dipikasikka1@gmail.com>
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3 participants