# esm2_t33_650M_UR50D

Hugging Face: `facebook/esm2_t33_650M_UR50D`
Reconstructed from `config.json` alone. No weights were read.

| | |
|---|---|
| Derived from structure | 650,626,560 |
| In the published checkpoint | 652,358,616 (safetensors.total, 2026-09-06) |
| Delta | -0.27% |
| Comparability | comparable |
| Layers | 134 |
| Priced on | A10G (24GB) |
| Est. one run | $26.62 |

## Structure

| # | Layer | Type | Output shape |
|---|---|---|---|
| 1 | Input | Input | 1 × 1026 |
| 2 | Embedding | Embedding | 1 × 1026 × 1280 |
| 3 | Positional_Embedding | Learned Pos Embed | 1 × 1026 × 1280 |
| 4 | Attention_1 | Multi-Head Attention | 1 × 1026 × 1280 |
| 5 | Add_1 | Add | 1 × 1026 × 1280 |
| 6 | LayerNorm_1_1 | LayerNorm | 1 × 1026 × 1280 |
| 7 | FFN_1 | Feed Forward | 1 × 1026 × 1280 |
| 8 | Attention_2 | Multi-Head Attention | 1 × 1026 × 1280 |
| 9 | Add_2 | Add | 1 × 1026 × 1280 |
| 10 | LayerNorm_2_1 | LayerNorm | 1 × 1026 × 1280 |
| 11 | FFN_2 | Feed Forward | 1 × 1026 × 1280 |
| 12 | Attention_3 | Multi-Head Attention | 1 × 1026 × 1280 |
| 13 | Add_3 | Add | 1 × 1026 × 1280 |
| 14 | LayerNorm_3_1 | LayerNorm | 1 × 1026 × 1280 |
| 15 | FFN_3 | Feed Forward | 1 × 1026 × 1280 |
| 16 | Attention_4 | Multi-Head Attention | 1 × 1026 × 1280 |
| 17 | Add_4 | Add | 1 × 1026 × 1280 |
| 18 | LayerNorm_4_1 | LayerNorm | 1 × 1026 × 1280 |
| 19 | FFN_4 | Feed Forward | 1 × 1026 × 1280 |
| 20 | Attention_5 | Multi-Head Attention | 1 × 1026 × 1280 |
| 21 | Add_5 | Add | 1 × 1026 × 1280 |
| 22 | LayerNorm_5_1 | LayerNorm | 1 × 1026 × 1280 |
| 23 | FFN_5 | Feed Forward | 1 × 1026 × 1280 |
| 24 | Attention_6 | Multi-Head Attention | 1 × 1026 × 1280 |
| 25 | Add_6 | Add | 1 × 1026 × 1280 |
| 26 | LayerNorm_6_1 | LayerNorm | 1 × 1026 × 1280 |
| 27 | FFN_6 | Feed Forward | 1 × 1026 × 1280 |
| 28 | Attention_7 | Multi-Head Attention | 1 × 1026 × 1280 |
| 29 | Add_7 | Add | 1 × 1026 × 1280 |
| 30 | LayerNorm_7_1 | LayerNorm | 1 × 1026 × 1280 |
| 31 | FFN_7 | Feed Forward | 1 × 1026 × 1280 |
| 32 | Attention_8 | Multi-Head Attention | 1 × 1026 × 1280 |
| 33 | Add_8 | Add | 1 × 1026 × 1280 |
| 34 | LayerNorm_8_1 | LayerNorm | 1 × 1026 × 1280 |
| 35 | FFN_8 | Feed Forward | 1 × 1026 × 1280 |
| 36 | Attention_9 | Multi-Head Attention | 1 × 1026 × 1280 |
| 37 | Add_9 | Add | 1 × 1026 × 1280 |
| 38 | LayerNorm_9_1 | LayerNorm | 1 × 1026 × 1280 |
| 39 | FFN_9 | Feed Forward | 1 × 1026 × 1280 |
| 40 | Attention_10 | Multi-Head Attention | 1 × 1026 × 1280 |
| 41 | Add_10 | Add | 1 × 1026 × 1280 |
| 42 | LayerNorm_10_1 | LayerNorm | 1 × 1026 × 1280 |
| 43 | FFN_10 | Feed Forward | 1 × 1026 × 1280 |
| 44 | Attention_11 | Multi-Head Attention | 1 × 1026 × 1280 |
| 45 | Add_11 | Add | 1 × 1026 × 1280 |
| 46 | LayerNorm_11_1 | LayerNorm | 1 × 1026 × 1280 |
| 47 | FFN_11 | Feed Forward | 1 × 1026 × 1280 |
| 48 | Attention_12 | Multi-Head Attention | 1 × 1026 × 1280 |
| 49 | Add_12 | Add | 1 × 1026 × 1280 |
| 50 | LayerNorm_12_1 | LayerNorm | 1 × 1026 × 1280 |
| 51 | FFN_12 | Feed Forward | 1 × 1026 × 1280 |
| 52 | Attention_13 | Multi-Head Attention | 1 × 1026 × 1280 |
| 53 | Add_13 | Add | 1 × 1026 × 1280 |
| 54 | LayerNorm_13_1 | LayerNorm | 1 × 1026 × 1280 |
| 55 | FFN_13 | Feed Forward | 1 × 1026 × 1280 |
| 56 | Attention_14 | Multi-Head Attention | 1 × 1026 × 1280 |
| 57 | Add_14 | Add | 1 × 1026 × 1280 |
| 58 | LayerNorm_14_1 | LayerNorm | 1 × 1026 × 1280 |
| 59 | FFN_14 | Feed Forward | 1 × 1026 × 1280 |
| 60 | Attention_15 | Multi-Head Attention | 1 × 1026 × 1280 |
| 61 | Add_15 | Add | 1 × 1026 × 1280 |
| 62 | LayerNorm_15_1 | LayerNorm | 1 × 1026 × 1280 |
| 63 | FFN_15 | Feed Forward | 1 × 1026 × 1280 |
| 64 | Attention_16 | Multi-Head Attention | 1 × 1026 × 1280 |
| 65 | Add_16 | Add | 1 × 1026 × 1280 |
| 66 | LayerNorm_16_1 | LayerNorm | 1 × 1026 × 1280 |
| 67 | FFN_16 | Feed Forward | 1 × 1026 × 1280 |
| 68 | Attention_17 | Multi-Head Attention | 1 × 1026 × 1280 |
| 69 | Add_17 | Add | 1 × 1026 × 1280 |
| 70 | LayerNorm_17_1 | LayerNorm | 1 × 1026 × 1280 |
| 71 | FFN_17 | Feed Forward | 1 × 1026 × 1280 |
| 72 | Attention_18 | Multi-Head Attention | 1 × 1026 × 1280 |
| 73 | Add_18 | Add | 1 × 1026 × 1280 |
| 74 | LayerNorm_18_1 | LayerNorm | 1 × 1026 × 1280 |
| 75 | FFN_18 | Feed Forward | 1 × 1026 × 1280 |
| 76 | Attention_19 | Multi-Head Attention | 1 × 1026 × 1280 |
| 77 | Add_19 | Add | 1 × 1026 × 1280 |
| 78 | LayerNorm_19_1 | LayerNorm | 1 × 1026 × 1280 |
| 79 | FFN_19 | Feed Forward | 1 × 1026 × 1280 |
| 80 | Attention_20 | Multi-Head Attention | 1 × 1026 × 1280 |
| 81 | Add_20 | Add | 1 × 1026 × 1280 |
| 82 | LayerNorm_20_1 | LayerNorm | 1 × 1026 × 1280 |
| 83 | FFN_20 | Feed Forward | 1 × 1026 × 1280 |
| 84 | Attention_21 | Multi-Head Attention | 1 × 1026 × 1280 |
| 85 | Add_21 | Add | 1 × 1026 × 1280 |
| 86 | LayerNorm_21_1 | LayerNorm | 1 × 1026 × 1280 |
| 87 | FFN_21 | Feed Forward | 1 × 1026 × 1280 |
| 88 | Attention_22 | Multi-Head Attention | 1 × 1026 × 1280 |
| 89 | Add_22 | Add | 1 × 1026 × 1280 |
| 90 | LayerNorm_22_1 | LayerNorm | 1 × 1026 × 1280 |
| 91 | FFN_22 | Feed Forward | 1 × 1026 × 1280 |
| 92 | Attention_23 | Multi-Head Attention | 1 × 1026 × 1280 |
| 93 | Add_23 | Add | 1 × 1026 × 1280 |
| 94 | LayerNorm_23_1 | LayerNorm | 1 × 1026 × 1280 |
| 95 | FFN_23 | Feed Forward | 1 × 1026 × 1280 |
| 96 | Attention_24 | Multi-Head Attention | 1 × 1026 × 1280 |
| 97 | Add_24 | Add | 1 × 1026 × 1280 |
| 98 | LayerNorm_24_1 | LayerNorm | 1 × 1026 × 1280 |
| 99 | FFN_24 | Feed Forward | 1 × 1026 × 1280 |
| 100 | Attention_25 | Multi-Head Attention | 1 × 1026 × 1280 |
| 101 | Add_25 | Add | 1 × 1026 × 1280 |
| 102 | LayerNorm_25_1 | LayerNorm | 1 × 1026 × 1280 |
| 103 | FFN_25 | Feed Forward | 1 × 1026 × 1280 |
| 104 | Attention_26 | Multi-Head Attention | 1 × 1026 × 1280 |
| 105 | Add_26 | Add | 1 × 1026 × 1280 |
| 106 | LayerNorm_26_1 | LayerNorm | 1 × 1026 × 1280 |
| 107 | FFN_26 | Feed Forward | 1 × 1026 × 1280 |
| 108 | Attention_27 | Multi-Head Attention | 1 × 1026 × 1280 |
| 109 | Add_27 | Add | 1 × 1026 × 1280 |
| 110 | LayerNorm_27_1 | LayerNorm | 1 × 1026 × 1280 |
| 111 | FFN_27 | Feed Forward | 1 × 1026 × 1280 |
| 112 | Attention_28 | Multi-Head Attention | 1 × 1026 × 1280 |
| 113 | Add_28 | Add | 1 × 1026 × 1280 |
| 114 | LayerNorm_28_1 | LayerNorm | 1 × 1026 × 1280 |
| 115 | FFN_28 | Feed Forward | 1 × 1026 × 1280 |
| 116 | Attention_29 | Multi-Head Attention | 1 × 1026 × 1280 |
| 117 | Add_29 | Add | 1 × 1026 × 1280 |
| 118 | LayerNorm_29_1 | LayerNorm | 1 × 1026 × 1280 |
| 119 | FFN_29 | Feed Forward | 1 × 1026 × 1280 |
| 120 | Attention_30 | Multi-Head Attention | 1 × 1026 × 1280 |
| 121 | Add_30 | Add | 1 × 1026 × 1280 |
| 122 | LayerNorm_30_1 | LayerNorm | 1 × 1026 × 1280 |
| 123 | FFN_30 | Feed Forward | 1 × 1026 × 1280 |
| 124 | Attention_31 | Multi-Head Attention | 1 × 1026 × 1280 |
| 125 | Add_31 | Add | 1 × 1026 × 1280 |
| 126 | LayerNorm_31_1 | LayerNorm | 1 × 1026 × 1280 |
| 127 | FFN_31 | Feed Forward | 1 × 1026 × 1280 |
| 128 | Attention_32 | Multi-Head Attention | 1 × 1026 × 1280 |
| 129 | Add_32 | Add | 1 × 1026 × 1280 |
| 130 | LayerNorm_32_1 | LayerNorm | 1 × 1026 × 1280 |
| 131 | FFN_32 | Feed Forward | 1 × 1026 × 1280 |
| 132 | Attention_33 | Multi-Head Attention | 1 × 1026 × 1280 |
| 133 | Add_33 | Add | 1 × 1026 × 1280 |
| 134 | LayerNorm_33_1 | LayerNorm | 1 × 1026 × 1280 |
| 135 | FFN_33 | Feed Forward | 1 × 1026 × 1280 |
| 136 | Output | Output | 1 × 1026 × 1280 |

## Do this to your own model

```
pip install neurarch-trace
neurarch-trace facebook/esm2_t33_650M_UR50D --plan --share
```

- Page: https://neurarch.com/m/esm2-t33-650m-ur50d.html
- All models: https://neurarch.com/m/index.json
- The checks: https://neurarch.com/r/index.json