← MIC coverage of Transformers model types

allenai/Olmo-3-7B-Instruct

huggingface-mic/Olmo-3-7B-Instruct-mic@3d2269c8c387 ← allenai/Olmo-3-7B-Instruct@6e5971d9eba4 · Olmo3ForCausalLM · random weights

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Original7.3Bparameters
Fixture12.9Mparameters
Layer stacks1compared
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.layers

Original · 32
Fixture · 2
KindOriginalFixture
sliding_attention241✓ kept
full_attention81✓ 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.layers6.5B88.7%82.4K0.6%
lm_head410.7M5.6%6.4M49.7%
model.embed_tokens410.7M5.6%6.4M49.7%
model.norm4.1K0.0%640.0%

Preserved properties

ConfigPropertyOriginalFixture
modelattention styleMHA (32 heads, 32 KV)MHA (4 heads, 4 KV)✓ kept
modelmodel_typeolmo3olmo3✓ kept
modelvocab_size100278100278✓ kept
modeltie_word_embeddingsFalseFalse✓ kept
modelhidden_actsilusilu✓ kept
modelmax_position_embeddings6553665536✓ kept

Module classes

Instances of each class in the built model (prefix Olmo3 omitted).

ClassOriginalFixture
Linear22515
RMSNorm1299
Attention322
DecoderLayer322
MLP322
SiLUActivation322
Embedding11
ModuleList11
ForCausalLM11
Model11
RotaryEmbedding11

Config changes

6 fields changed, 23 unchanged.

FieldOriginalFixture
hidden_size409664
intermediate_size11008128
layer_types32 entries: 24× sliding_attention, 8× full_attention["sliding_attention", "full_attention"]
num_attention_heads324
num_hidden_layers322
num_key_value_heads324