[GPTQ Modifier UX] Update tests to use GPTQModifier for obcq style quantization #2294
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bfineran
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May 20, 2024
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* Split WandaPruningModifier and SparseGPTModifier Make sparsegpt not inherit from wanda modifier Decouple SparseGPTModifierPyTorch from WandaPruningModifier Fix docstrings * Split SparseGPT and GPTQ modifiers (#2272) * Update OBCQ * Extract GPTQ Modifier * [GPTQ Modifier UX] Update tests to use GPTQModifier for obcq style quantization (#2294) * Update OBCQ * Extract GPTQ Modifier * Update test recipes * GPTQ UX config groups support (#2273) * Update OBCQ * Extract GPTQ Modifier * Update test recipes * Add config_groups support to GPTQModifier * mask_structure preservation test (#2284) * test * Preserve weight sparsity if greater than threshold * Add argument to preserve sparsity mask in SPARSEGPT * fix case when mask is none * Add test to check mask_structure - initial mask structure should be preserved b/w consecutive runs; added test to check this * Update tensor_follows_mask_structure to check for atleast n zeros --------- Co-authored-by: Sara Adkins <sara@neuralmagic.com> * PR comments --------- Co-authored-by: Sara Adkins <sara@neuralmagic.com> * Fix default case * Update test to use new vLLMQuantizationModifier * Style --------- Co-authored-by: Sara Adkins <sara@neuralmagic.com>
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This PR updates test recipes and readme to use new GPTQ modifier for quantization