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update muon slice func #4378

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Merged
sneaxiy merged 1 commit into from
Apr 29, 2026
+11 −0
Merged

update muon slice func #4378

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11 changes: 11 additions & 0 deletions paddleformers/transformers/minimax_m2/modeling.py
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Original file line number Diff line number Diff line change
Expand Up @@ -171,6 +171,7 @@ def _add_layer_slice_config(prefix):
# FFN gate_up weights
if ffn_slice_fn is not None:
moe_intermediate_size = config.moe_intermediate_size
intermediate_size = config.intermediate_size

# Fused experts
param_name = f"{prefix}.mlp.experts.up_gate_proj.weight"
Expand All @@ -181,6 +182,13 @@ def _add_layer_slice_config(prefix):
ffn_slice_fn,
{"intermediate_size": moe_intermediate_size},
)
slice_config[f"{prefix}.mlp.grouped_gemm_experts.weight1"] = (
ffn_slice_fn,
{"intermediate_size": moe_intermediate_size},
)
# Common experts
param_name = f"{prefix}.mlp.up_gate_proj.weight"
slice_config[param_name] = (ffn_slice_fn, {"intermediate_size": intermediate_size})

# Routed experts (per-expert)
if hasattr(config, "n_routed_experts") and config.n_routed_experts > 0:
Expand All @@ -193,6 +201,7 @@ def _add_layer_slice_config(prefix):
# Fused MoE weights (grouped_gemm)
if moe_grouped_gemm and fused_moe_fn is not None:
slice_config[f"{prefix}.mlp.experts.down_proj.weight"] = (fused_moe_fn, {})
slice_config[f"{prefix}.mlp.grouped_gemm_experts.weight2"] = (fused_moe_fn, {})

# MLA weights
if use_mla and mla_slice_fn is not None:
Expand Down Expand Up @@ -244,6 +253,8 @@ def _add_layer_slice_config(prefix):
num_nextn_predict_layers = config.num_nextn_predict_layers if config.num_nextn_predict_layers else 0
for layer_idx in range(num_nextn_predict_layers):
_add_layer_slice_config(f"model.layers.{num_hidden_layers + layer_idx}")
for layer_idx in range(num_nextn_predict_layers):
_add_layer_slice_config(f"model.layers.{num_hidden_layers + layer_idx}.transformer_layer")

return slice_config

Expand Down
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