openai/privacy-filter
Original1.4Bparameters
Fixture13.0Mparameters
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 · 8
Fixture · 2
| Kind | Original | Fixture | |
|---|---|---|---|
| EncoderLayer | 8 | 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 | 1.3B | 90.8% | 224.9K | 1.7% |
| model.embed_tokens | 128.0M | 9.1% | 12.8M | 98.3% |
| score | 21.2K | 0.0% | 2.1K | 0.0% |
| model.norm | 640 | 0.0% | 64 | 0.0% |
Preserved properties
| Config | Property | Original | Fixture | |
|---|---|---|---|---|
| model | attention style | GQA (14 heads, 2 KV) | GQA (4 heads, 2 KV) | ✓ kept |
| model | MoE routing | top-4 of 128 experts | top-2 of 4 experts | ✓ kept |
| model | RoPE type | yarn | yarn | ✓ kept |
| model | model_type | openai_privacy_filter | openai_privacy_filter | ✓ kept |
| model | vocab_size | 200064 | 200064 | ✓ kept |
| model | tie_word_embeddings | False | False | ✓ kept |
| model | hidden_act | silu | silu | ✓ kept |
| model | max_position_embeddings | 131072 | 131072 | ✓ kept |
Module classes
Instances of each class in the built model (prefix OpenAIPrivacyFilter omitted).
| Class | Original | Fixture |
|---|---|---|
| Linear | 33 | 9 |
| RMSNorm | 17 | 5 |
| Attention | 8 | 2 |
| EncoderLayer | 8 | 2 |
| Experts | 8 | 2 |
| MLP | 8 | 2 |
| TopKRouter | 8 | 2 |
| Dropout | 1 | 1 |
| Embedding | 1 | 1 |
| ModuleList | 1 | 1 |
| ForTokenClassification | 1 | 1 |
| Model | 1 | 1 |
| RotaryEmbedding | 1 | 1 |
Config changes
7 fields changed, 32 unchanged.
| Field | Original | Fixture |
|---|---|---|
| head_dim | 64 | 16 |
| hidden_size | 640 | 64 |
| intermediate_size | 640 | 128 |
| num_attention_heads | 14 | 4 |
| num_experts_per_tok | 4 | 2 |
| num_hidden_layers | 8 | 2 |
| num_local_experts | 128 | 4 |