← MIC coverage of Transformers model types

skt/A.X-K1

huggingface-mic/A.X-K1-mic@17772fdabaed ← skt/A.X-K1@bb56f50f36b6 · AXK1ForCausalLM · random weights

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Original519.0Bparameters
Fixture21.0Mparameters
Layer stacks1compared
Findings0to review

✓ Same architecture, smaller

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

Model tester (advisory)

The model's own small test config in its ModelTester (29 literal values, 13 set by the model's own tester, the rest generic base-tester defaults). Testers are usually representative but not always, so these notes are for review, not rules.

The fixture covers every per-layer kind the tester sets, and shrinks every size it does.

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 · 61
Fixture · 2
KindOriginalFixture
no Experts11✓ kept
Experts, MoE, TopkRouter601✓ 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.layers516.6B99.5%76.4K0.4%
model.embed_tokens1.2B0.2%10.5M49.8%
lm_head1.2B0.2%10.5M49.8%
model.norm7.2K0.0%640.0%

Preserved properties

ConfigPropertyOriginalFixture
modelattention styleMHA (64 heads, 64 KV)MHA (4 heads, 4 KV)✓ kept
modelMoE routingtop-8 of 192 expertstop-2 of 4 experts✓ kept
modelRoPE typeyarnyarn✓ kept
modelmodel_typeaxk1axk1✓ kept
modelvocab_size163840163840✓ kept
modeltie_word_embeddingsFalseFalse✓ kept
modelhidden_actsilusilu✓ kept
modelmax_position_embeddings131072131072✓ kept

Module classes

Instances of each class in the built model (prefix AXK1 omitted).

ClassOriginalFixture
Linear48917
RMSNorm30510
SiLUActivation1213
Attention612
DecoderLayer612
MLP612
Experts601
MoE601
TopkRouter601
ForCausalLM11
Model11
RotaryEmbedding11
Embedding11
ModuleList11

Config changes

17 fields changed, 34 unchanged.

FieldOriginalFixture
head_dim648
hidden_size716864
intermediate_size18432128
kv_lora_rank51216
mlp_layer_types61 entries: 60× sparse, 1× dense["dense", "sparse"]
moe_intermediate_size204832
n_group81
n_routed_experts1924
num_attention_heads644
num_experts_per_tok82
num_hidden_layers612
num_key_value_heads644
q_lora_rank153616
qk_nope_head_dim12816
qk_rope_head_dim648
topk_group41
v_head_dim12816