facebook/mbart-large-50

Original610.9Mparameters

Fixture16.3Mparameters

Layer stacks2compared

Findings0to review

✓ Same architecture, smaller

Every module class, layer kind and checked property of the original is in the fixture.

One square per layer, colored by kind: the layer's module classes and type attributes. Hover a square for its index and kind.

Original · 12

Fixture · 2

Kind	Original	Fixture
EncoderLayer	12	2	✓ kept

Original · 12

Fixture · 2

Kind	Original	Fixture
DecoderLayer	12	2	✓ kept

Share of each model's parameters per component. Vocabulary and patch sizes are kept, so embeddings usually take a larger share of the fixture.

Original

Fixture

Component	Original	Share	Fixture	Share
model.shared	256.1M	41.9%	16.0M	98.2%
model.decoder.layers	201.6M	33.0%	100.5K	0.6%
model.encoder.layers	151.2M	24.7%	66.9K	0.4%
model.encoder	1.1M	0.2%	65.9K	0.4%
model.decoder	1.1M	0.2%	65.9K	0.4%

Config	Property	Original	Fixture
model	model_type	mbart	mbart	✓ kept
model	vocab_size	250054	250054	✓ kept
model	tie_word_embeddings	True	True	✓ kept
model	max_position_embeddings	1024	1024	✓ kept

Instances of each class in the built model (prefix MBart omitted).

Class	Original	Fixture
Linear	193	33
LayerNorm	64	14
Attention	36	6
GELUActivation	24	4
DecoderLayer	12	2
EncoderLayer	12	2
ScaledWordEmbedding	3	3
LearnedPositionalEmbedding	2	2
ModuleList	2	2
Decoder	1	1
Encoder	1	1
ForConditionalGeneration	1	1
Model	1	1

7 fields changed, 38 unchanged.