← MIC coverage of Transformers model types

google/gemma-3-4b-it

huggingface-mic/gemma3-mic@97b8077b83d6 ← google/gemma-3-4b-it@093f9f388b31 · Gemma3ForConditionalGeneration · random weights · built before the shrink rule (no recorded recipe)

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Original4.3Bparameters
Fixture17.2Mparameters
Layer stacks2compared
Findings0to review

✓ Same architecture, smaller

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

Layer stacks

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

model.vision_tower.encoder.layers

Original · 27
Fixture · 2
KindOriginalFixture
SiglipEncoderLayer272✓ kept

model.language_model.layers

Original · 34
Fixture · 2
KindOriginalFixture
sliding_attention291✓ kept
full_attention51✓ kept

Where the parameters are

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
ComponentOriginalShareFixtureShare
model.language_model.layers3.2B74.6%74.3K0.4%
model.language_model671.3M15.6%16.8M97.4%
model.vision_tower.encoder.layers411.5M9.6%66.9K0.4%
model.vision_tower5.4M0.1%300.0K1.7%
model.multi_modal_projector3.0M0.1%4.2K0.0%

Preserved properties

ConfigPropertyOriginalFixture
modelmodel_typegemma3gemma3✓ kept
modeltie_word_embeddingsTrueTrue✓ kept
text_configattention styleGQA (8 heads, 4 KV)GQA (4 heads, 2 KV)✓ kept
text_configmodel_typegemma3_textgemma3_text✓ kept
text_configvocab_size262208262208✓ kept
text_configtie_word_embeddingsTrueTrue✓ kept
text_configmax_position_embeddings131072131072✓ kept
vision_configmodel_typesiglip_vision_modelsiglip_vision_model✓ kept
vision_confighidden_actgelu_pytorch_tanhgelu_pytorch_tanh✓ kept
vision_configimage_size896896✓ kept
vision_configpatch_size1414✓ kept
vision_confignum_channels33✓ kept

Module classes

Instances of each class in the built model (prefix Gemma3 omitted).

ClassOriginalFixture
Linear40127
RMSNorm20614
GELUTanh614
LayerNorm555
Attention342
DecoderLayer342
MLP342
SiglipAttention272
SiglipEncoderLayer272
SiglipMLP272
ModuleList22
AvgPool2d11
Conv2d11
Embedding11
ForConditionalGeneration11
Model11
MultiModalProjector11
RotaryEmbedding11
TextModel11
TextScaledWordEmbedding11
SiglipEncoder11
SiglipVisionEmbeddings11
SiglipVisionModel11

Config changes

11 fields changed, 60 unchanged.

FieldOriginalFixture
text_config.head_dim25616
text_config.hidden_size256064
text_config.intermediate_size10240128
text_config.layer_types34 entries: 29× sliding_attention, 5× full_attention["sliding_attention", "full_attention"]
text_config.num_attention_heads84
text_config.num_hidden_layers342
text_config.num_key_value_heads42
vision_config.hidden_size115264
vision_config.intermediate_size4304128
vision_config.num_attention_heads164
vision_config.num_hidden_layers272