← MIC coverage of Transformers model types

ai21labs/Jamba-tiny-dev

huggingface-mic/Jamba-tiny-dev-mic@d03ef8cc4d1f ← ai21labs/Jamba-tiny-dev@ed303361004a · JambaForCausalLM · random weights

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Original318.7Mparameters
Fixture8.8Mparameters
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 · 16
Fixture · 5
KindOriginalFixture
Conv1d, MLP, MambaDecoderLayer …62✓ kept
Conv1d, Experts, MambaDecoderLayer …82✓ kept
is_causal=True, Attention, AttentionDecoderLayer …21✓ 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.layers251.6M78.9%443.3K5.0%
lm_head33.6M10.5%4.2M47.5%
model.embed_tokens33.6M10.5%4.2M47.5%
model.final_layernorm5120.0%640.0%

Preserved properties

ConfigPropertyOriginalFixture
modelattention styleGQA (8 heads, 2 KV)GQA (4 heads, 2 KV)✓ kept
modelMoE routingtop-2 of 8 expertstop-2 of 4 experts✓ kept
modelmodel_typejambajamba✓ kept
modelvocab_size6553665536✓ kept
modeltie_word_embeddingsFalseFalse✓ kept
modelhidden_actsilusilu✓ kept
modelmax_position_embeddings262144262144✓ kept

Module classes

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

ClassOriginalFixture
Linear8930
RMSNorm7523
SiLUActivation309
Conv1d144
MambaDecoderLayer144
MambaMixer144
Experts82
MLP83
SparseMoeBlock82
TopKRouter82
Attention21
AttentionDecoderLayer21
Embedding11
ForCausalLM11
Model11
ModuleList11

Config changes

5 fields changed, 39 unchanged.

FieldOriginalFixture
hidden_size51264
intermediate_size2048128
num_attention_heads84
num_experts84
num_hidden_layers165