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correctly report the actual kernel names #2016

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Merged
merged 1 commit into from
Oct 14, 2025
Merged

correctly report the actual kernel names #2016

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2 changes: 1 addition & 1 deletion gptqmodel/nn_modules/qlinear/awq_gemv.py
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Expand Up @@ -37,7 +37,7 @@ class AwqGEMVQuantLinear(AWQuantLinear):
SUPPORTS_DTYPES = [torch.float16, torch.bfloat16]

# for transformers/optimum tests compat
QUANT_TYPE = "awq_gemm"
QUANT_TYPE = "awq_gemv"

def __init__(
self,
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2 changes: 1 addition & 1 deletion gptqmodel/nn_modules/qlinear/awq_gemv_fast.py
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Expand Up @@ -37,7 +37,7 @@ class AwqGEMVFastQuantLinear(AWQuantLinear):
SUPPORTS_DTYPES = [torch.float16]

# for transformers/optimum tests compat
QUANT_TYPE = "awq_gemm"
QUANT_TYPE = "awq_gemv_fast"

def __init__(
self,
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2 changes: 1 addition & 1 deletion gptqmodel/nn_modules/qlinear/awq_marlin.py
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Expand Up @@ -58,7 +58,7 @@ class AwqMarlinQuantLinear(AWQuantLinear):
REQUIRES_FORMAT_V2 = False

# for transformers/optimum tests compat
QUANT_TYPE = "marlin"
QUANT_TYPE = "awq_marlin"

# num_bits -> type
TYPE_MAP = {
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2 changes: 1 addition & 1 deletion gptqmodel/nn_modules/qlinear/torch_fused.py
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Expand Up @@ -54,7 +54,7 @@ class TorchFusedQuantLinear(PackableQuantLinear):
REQUIRES_FORMAT_V2 = True

# for transformers/optimum tests compat
QUANT_TYPE = "torch"
QUANT_TYPE = "torch_fused"

def __init__(
self,
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