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5 changes: 3 additions & 2 deletions vllm/model_executor/layers/fused_moe/activation.py
Original file line number Diff line number Diff line change
Expand Up @@ -272,7 +272,7 @@ def _apply_moe_activation_masked(
"SWIGLUOAI_UNINTERLEAVE requires clamp_limit"
)
elif activation == MoEActivation.SWIGLUSTEP:
masked_clamp_limit = 7.0
masked_clamp_limit = 7.0 if config.clamp_limit is None else config.clamp_limit

torch.ops._C.masked_moe_activation(
output,
Expand Down Expand Up @@ -390,7 +390,8 @@ def apply_moe_activation(
elif activation == MoEActivation.SWIGLUSTEP:
from vllm.model_executor.layers.activation import swiglustep_and_mul_triton

swiglustep_and_mul_triton(output, input)
limit = 7.0 if config.clamp_limit is None else config.clamp_limit
swiglustep_and_mul_triton(output, input, limit=limit)

# Activations without gated multiplication
elif activation == MoEActivation.SILU_NO_MUL:
Expand Down
4 changes: 3 additions & 1 deletion vllm/model_executor/models/bailing_moe_v3.py
Original file line number Diff line number Diff line change
Expand Up @@ -1203,7 +1203,9 @@ def __init__(
intermediate_size=config.moe_intermediate_size,
renormalize=True,
quant_config=quant_config,
activation="silu",
activation=(
"swiglustep" if self.expert_swiglu_limit is not None else "silu"
),
swiglu_limit=self.expert_swiglu_limit,
prefix=f"{prefix}.experts",
scoring_func="sigmoid",
Expand Down