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fix nkpad #709

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Merged
merged 1 commit into from
Sep 25, 2025
Merged

fix nkpad #709

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7 changes: 4 additions & 3 deletions vllm/model_executor/layers/quantization/mxfp4.py
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Original file line number Diff line number Diff line change
Expand Up @@ -194,6 +194,7 @@ def create_weights(self, layer: torch.nn.Module, num_experts: int,

self.intermediate_size = intermediate_size_per_partition_after_pad
self.hidden_size = hidden_size
self.intermediate_pad = (intermediate_size_per_partition_after_pad - intermediate_size_per_partition)
# Fused gate_up_proj (column parallel)
w13_weight = torch.nn.Parameter(
torch.zeros(
Expand Down Expand Up @@ -708,7 +709,7 @@ def apply(
sorted_expert_ids,
num_valid_ids,
top_k,
192, # n_pad_zeros
self.intermediate_pad // 64 * 64 * 2,
128, # k_pad_zeros
None, # sorted_weights
None,
Expand All @@ -725,7 +726,7 @@ def apply(
num_valid_ids,
top_k,
192, # n_pad_zeros
128, # k_pad_zeros
self.intermediate_pad // 128 * 128,
sorted_weights, # sorted_weights
None,
self.w2_scale_aiter_tensor,
Expand All @@ -750,4 +751,4 @@ def apply(
w1_precision=self.w13_precision_config,
w2_precision=self.w2_precision_config,
apply_router_weight_on_input=apply_router_weight_on_input,
)
)
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