# pythia-160m

Hugging Face: `EleutherAI/pythia-160m`
Reconstructed from `config.json` alone. No weights were read.

| | |
|---|---|
| Derived from structure | 163,946,112 |
| In the published checkpoint | 212,654,688 (safetensors.total, 2026-09-06) |
| Delta | -22.9% |
| Comparability | comparable |
| Layers | 76 |
| Priced on | A10G (24GB) |
| Est. one run | $10.96 |

## Structure

| # | Layer | Type | Output shape |
|---|---|---|---|
| 1 | Input | Input | 1 × 2048 |
| 2 | Embedding | Embedding | 1 × 2048 × 768 |
| 3 | Positional_Embedding | Learned Pos Embed | 1 × 2048 × 768 |
| 4 | LayerNorm_1_1 | LayerNorm | 1 × 2048 × 768 |
| 5 | Attention_1 | Multi-Head Attention | 1 × 2048 × 768 |
| 6 | Add_1_attn | Add | 1 × 2048 × 768 |
| 7 | LayerNorm_1_2 | LayerNorm | 1 × 2048 × 768 |
| 8 | FFN_1 | Feed Forward | 1 × 2048 × 768 |
| 9 | Add_1_ffn | Add | 1 × 2048 × 768 |
| 10 | LayerNorm_2_1 | LayerNorm | 1 × 2048 × 768 |
| 11 | Attention_2 | Multi-Head Attention | 1 × 2048 × 768 |
| 12 | Add_2_attn | Add | 1 × 2048 × 768 |
| 13 | LayerNorm_2_2 | LayerNorm | 1 × 2048 × 768 |
| 14 | FFN_2 | Feed Forward | 1 × 2048 × 768 |
| 15 | Add_2_ffn | Add | 1 × 2048 × 768 |
| 16 | LayerNorm_3_1 | LayerNorm | 1 × 2048 × 768 |
| 17 | Attention_3 | Multi-Head Attention | 1 × 2048 × 768 |
| 18 | Add_3_attn | Add | 1 × 2048 × 768 |
| 19 | LayerNorm_3_2 | LayerNorm | 1 × 2048 × 768 |
| 20 | FFN_3 | Feed Forward | 1 × 2048 × 768 |
| 21 | Add_3_ffn | Add | 1 × 2048 × 768 |
| 22 | LayerNorm_4_1 | LayerNorm | 1 × 2048 × 768 |
| 23 | Attention_4 | Multi-Head Attention | 1 × 2048 × 768 |
| 24 | Add_4_attn | Add | 1 × 2048 × 768 |
| 25 | LayerNorm_4_2 | LayerNorm | 1 × 2048 × 768 |
| 26 | FFN_4 | Feed Forward | 1 × 2048 × 768 |
| 27 | Add_4_ffn | Add | 1 × 2048 × 768 |
| 28 | LayerNorm_5_1 | LayerNorm | 1 × 2048 × 768 |
| 29 | Attention_5 | Multi-Head Attention | 1 × 2048 × 768 |
| 30 | Add_5_attn | Add | 1 × 2048 × 768 |
| 31 | LayerNorm_5_2 | LayerNorm | 1 × 2048 × 768 |
| 32 | FFN_5 | Feed Forward | 1 × 2048 × 768 |
| 33 | Add_5_ffn | Add | 1 × 2048 × 768 |
| 34 | LayerNorm_6_1 | LayerNorm | 1 × 2048 × 768 |
| 35 | Attention_6 | Multi-Head Attention | 1 × 2048 × 768 |
| 36 | Add_6_attn | Add | 1 × 2048 × 768 |
| 37 | LayerNorm_6_2 | LayerNorm | 1 × 2048 × 768 |
| 38 | FFN_6 | Feed Forward | 1 × 2048 × 768 |
| 39 | Add_6_ffn | Add | 1 × 2048 × 768 |
| 40 | LayerNorm_7_1 | LayerNorm | 1 × 2048 × 768 |
| 41 | Attention_7 | Multi-Head Attention | 1 × 2048 × 768 |
| 42 | Add_7_attn | Add | 1 × 2048 × 768 |
| 43 | LayerNorm_7_2 | LayerNorm | 1 × 2048 × 768 |
| 44 | FFN_7 | Feed Forward | 1 × 2048 × 768 |
| 45 | Add_7_ffn | Add | 1 × 2048 × 768 |
| 46 | LayerNorm_8_1 | LayerNorm | 1 × 2048 × 768 |
| 47 | Attention_8 | Multi-Head Attention | 1 × 2048 × 768 |
| 48 | Add_8_attn | Add | 1 × 2048 × 768 |
| 49 | LayerNorm_8_2 | LayerNorm | 1 × 2048 × 768 |
| 50 | FFN_8 | Feed Forward | 1 × 2048 × 768 |
| 51 | Add_8_ffn | Add | 1 × 2048 × 768 |
| 52 | LayerNorm_9_1 | LayerNorm | 1 × 2048 × 768 |
| 53 | Attention_9 | Multi-Head Attention | 1 × 2048 × 768 |
| 54 | Add_9_attn | Add | 1 × 2048 × 768 |
| 55 | LayerNorm_9_2 | LayerNorm | 1 × 2048 × 768 |
| 56 | FFN_9 | Feed Forward | 1 × 2048 × 768 |
| 57 | Add_9_ffn | Add | 1 × 2048 × 768 |
| 58 | LayerNorm_10_1 | LayerNorm | 1 × 2048 × 768 |
| 59 | Attention_10 | Multi-Head Attention | 1 × 2048 × 768 |
| 60 | Add_10_attn | Add | 1 × 2048 × 768 |
| 61 | LayerNorm_10_2 | LayerNorm | 1 × 2048 × 768 |
| 62 | FFN_10 | Feed Forward | 1 × 2048 × 768 |
| 63 | Add_10_ffn | Add | 1 × 2048 × 768 |
| 64 | LayerNorm_11_1 | LayerNorm | 1 × 2048 × 768 |
| 65 | Attention_11 | Multi-Head Attention | 1 × 2048 × 768 |
| 66 | Add_11_attn | Add | 1 × 2048 × 768 |
| 67 | LayerNorm_11_2 | LayerNorm | 1 × 2048 × 768 |
| 68 | FFN_11 | Feed Forward | 1 × 2048 × 768 |
| 69 | Add_11_ffn | Add | 1 × 2048 × 768 |
| 70 | LayerNorm_12_1 | LayerNorm | 1 × 2048 × 768 |
| 71 | Attention_12 | Multi-Head Attention | 1 × 2048 × 768 |
| 72 | Add_12_attn | Add | 1 × 2048 × 768 |
| 73 | LayerNorm_12_2 | LayerNorm | 1 × 2048 × 768 |
| 74 | FFN_12 | Feed Forward | 1 × 2048 × 768 |
| 75 | Add_12_ffn | Add | 1 × 2048 × 768 |
| 76 | Final_LayerNorm | LayerNorm | 1 × 2048 × 768 |
| 77 | LM_Head | Linear | 1 × 2048 × 50304 |
| 78 | Output | Output | 1 × 2048 × 50304 |

## Do this to your own model

```
pip install neurarch-trace
neurarch-trace EleutherAI/pythia-160m --plan --share
```

- Page: https://neurarch.com/m/pythia-160m.html
- All models: https://neurarch.com/m/index.json
- The checks: https://neurarch.com/r/index.json