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[Bugfix] Propagate VLLM_MARLIN_INPUT_DTYPE into INC/AutoRound quant path #49039

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[Bugfix] Propagate VLLM_MARLIN_INPUT_DTYPE into INC/AutoRound quant path #49039

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5 changes: 4 additions & 1 deletion vllm/model_executor/layers/quantization/inc/schemes/inc_wna16_linear.py
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Original file line number Diff line number Diff line change
Expand Up @@ -10,6 +10,7 @@
from vllm.model_executor.layers.quantization.auto_gptq import AutoGPTQConfig
from vllm.model_executor.layers.quantization.utils.marlin_utils import (
check_marlin_supported,
get_marlin_input_dtype,
)
from vllm.model_executor.parameter import (
GroupQuantScaleParameter,
Expand Down Expand Up @@ -62,7 +63,7 @@ def _build_gptq_method(self):
AutoGPTQLinearMethod,
)

return AutoGPTQLinearMethod(
method = AutoGPTQLinearMethod(
AutoGPTQConfig(
weight_bits=self.layer_config.bits,
group_size=self.layer_config.group_size,
Expand All @@ -73,6 +74,8 @@ def _build_gptq_method(self):
full_config={},
)
)
method.input_dtype = get_marlin_input_dtype()
return method

raise NotImplementedError(
f"INC quantization with bits={self.layer_config.bits}, "
Expand Down
7 changes: 6 additions & 1 deletion vllm/model_executor/layers/quantization/inc/schemes/inc_wna16_scheme.py
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Original file line number Diff line number Diff line change
Expand Up @@ -6,6 +6,9 @@
from vllm.logger import init_logger
from vllm.model_executor.layers.quantization.auto_awq import AutoAWQConfig
from vllm.model_executor.layers.quantization.auto_gptq import AutoGPTQConfig
from vllm.model_executor.layers.quantization.utils.marlin_utils import (
get_marlin_input_dtype,
)
from vllm.platforms import current_platform
from vllm.scalar_type import scalar_types

Expand Down Expand Up @@ -137,7 +140,7 @@ def _resolve_gptq_moe(layer: "torch.nn.Module", layer_config: "INCLayerConfig"):
) and check_moe_marlin_supports_layer(layer, layer_config.group_size)

if use_marlin:
return AutoGPTQMoEMethod(
moe_method = AutoGPTQMoEMethod(
AutoGPTQConfig(
weight_bits=layer_config.bits,
group_size=layer_config.group_size,
Expand All @@ -149,6 +152,8 @@ def _resolve_gptq_moe(layer: "torch.nn.Module", layer_config: "INCLayerConfig"):
),
layer.moe_config,
)
moe_method.input_dtype = get_marlin_input_dtype()
return moe_method

moe_config = MoeWNA16Config.from_config(
{
Expand Down
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