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[Bug fix] fix Qwen3VLMoe #2104

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[Bug fix] fix Qwen3VLMoe #2104

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22 changes: 9 additions & 13 deletions src/llmcompressor/modeling/qwen3_vl_moe.py
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Original file line number Diff line number Diff line change
Expand Up @@ -97,22 +97,18 @@ def __init__(self, config, original):
from transformers.models.qwen3_vl_moe.modeling_qwen3_vl_moe import (
Qwen3VLMoeTextMLP,
)

super().__init__()
self.num_experts = original.gate_up_proj.shape[0]
with skip_weights_initialize():
super().__init__(
[Qwen3VLMoeTextMLP(config) for _ in range(self.num_experts)]
)

intermediate_size = original.down_proj.shape[1]

for i in range(self.num_experts):
gate_up = original.gate_up_proj[i]
down = original.down_proj[i]

gate_proj = gate_up[:, :intermediate_size]
up_proj = gate_up[:, intermediate_size:]

self[i].gate_proj.weight.data = gate_proj.t().clone().contiguous()
self[i].up_proj.weight.data = up_proj.t().clone().contiguous()
self[i].down_proj.weight.data = down.t().clone().contiguous()
mlp = Qwen3VLMoeTextMLP(config, config.moe_intermediate_size)
mlp.gate_proj.weight = torch.nn.Parameter(
gate_up[:, :intermediate_size].t(), requires_grad=False)
mlp.up_proj.weight = torch.nn.Parameter(
gate_up[:, intermediate_size:].t(), requires_grad=False)
mlp.down_proj.weight = torch.nn.Parameter(
down.t(), requires_grad=False)
self.append(mlp)