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Fix TransformerConfig validation for mixed dense/MoE upcycling#3647

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rkteddy wants to merge 2 commits intoNVIDIA:mainfrom
rkteddy:fix/transformer-config-dense-moe-ffn
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Fix TransformerConfig validation for mixed dense/MoE upcycling#3647
rkteddy wants to merge 2 commits intoNVIDIA:mainfrom
rkteddy:fix/transformer-config-dense-moe-ffn

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@rkteddy rkteddy commented Mar 1, 2026

What does this PR do ?

Fix TransformerConfig validation for mixed dense/MoE upcycling (--moe-layer-freq + --moe-use-upcycling):

In a mixed model, dense layer configs inherit the global moe_ffn_hidden_size while having num_moe_experts=None. The existing assert in TransformerConfig.__post_init__ raises an error in this case. Replace the assert with a warning and set moe_ffn_hidden_size = None for dense layers.

Related: #3646 fixes the upcycling state dict conversion for the same scenario.

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@rkteddy rkteddy requested review from a team as code owners March 1, 2026 05:25
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@svcnvidia-nemo-ci svcnvidia-nemo-ci requested a review from a team March 1, 2026 05:26
assert (
self.moe_ffn_hidden_size is None
), "moe_ffn_hidden_size must be None when num_experts is not set."
if self.num_moe_experts is None and self.moe_ffn_hidden_size is not None:
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Can we make this check more robust at least by checking those flags + explicitly warning in which scenario we expect to see the warning? Thanks!

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Thanks for the suggestion! Updated the check to also inspect moe_layer_freq:

  • If moe_layer_freq indicates a mixed dense/MoE model, warn and reset moe_ffn_hidden_size, this is the expected scenario where dense layers inherit the global MoE config.
  • Otherwise, raise a ValueError when having moe_ffn_hidden_size set without num_moe_experts is a misconfiguration.

@rkteddy rkteddy force-pushed the fix/transformer-config-dense-moe-ffn branch from 65aac00 to 70ad756 Compare March 2, 2026 22:58
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