tencent/Hunyuan-0.5B-Instruct
Original539.0Mparameters
Fixture7.8Mparameters
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 · 24
Fixture · 2
| Kind | Original | Fixture | |
|---|---|---|---|
| DecoderLayer | 24 | 2 | ✓ 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
| Component | Original | Share | Fixture | Share |
|---|---|---|---|---|
| model.layers | 415.3M | 77.0% | 74.0K | 0.9% |
| model.embed_tokens | 123.7M | 23.0% | 7.7M | 99.1% |
| model.norm | 1.0K | 0.0% | 64 | 0.0% |
Preserved properties
| Config | Property | Original | Fixture | |
|---|---|---|---|---|
| model | attention style | GQA (16 heads, 8 KV) | GQA (4 heads, 2 KV) | ✓ kept |
| model | RoPE type | dynamic | dynamic | ✓ kept |
| model | model_type | hunyuan_v1_dense | hunyuan_v1_dense | ✓ kept |
| model | vocab_size | 120818 | 120818 | ✓ kept |
| model | tie_word_embeddings | True | True | ✓ kept |
| model | hidden_act | silu | silu | ✓ kept |
| model | max_position_embeddings | 262144 | 262144 | ✓ kept |
Module classes
Instances of each class in the built model (prefix HunYuanDenseV1 omitted).
| Class | Original | Fixture |
|---|---|---|
| Linear | 169 | 15 |
| RMSNorm | 97 | 9 |
| Attention | 24 | 2 |
| DecoderLayer | 24 | 2 |
| MLP | 24 | 2 |
| SiLUActivation | 24 | 2 |
| Embedding | 1 | 1 |
| ForCausalLM | 1 | 1 |
| Model | 1 | 1 |
| RotaryEmbedding | 1 | 1 |
| ModuleList | 1 | 1 |
Config changes
7 fields changed, 43 unchanged.
| Field | Original | Fixture |
|---|---|---|
| attention_head_dim | 128 | 16 |
| head_dim | 128 | 16 |
| hidden_size | 1024 | 64 |
| intermediate_size | 3584 | 128 |
| num_attention_heads | 16 | 4 |
| num_hidden_layers | 24 | 2 |
| num_key_value_heads | 8 | 2 |