# gpt-oss-20b

Hugging Face: `openai/gpt-oss-20b`
Reconstructed from `config.json` alone. No weights were read.

| | |
|---|---|
| Derived from structure | 20,908,128,448 |
| In the published checkpoint | 20,914,757,184 (safetensors.total, 2026-09-06) |
| Delta | -0.03% |
| Comparability | quantized |
| Layers | 148 |
| Priced on | A10G (24GB) |
| Est. one run | $80906.55 |

> This checkpoint is stored quantized (mxfp4). The tensor count in the file counts stored elements under a packing scheme, not logical parameters, so the two numbers below are not measuring the same thing in either direction.

## Structure

| # | Layer | Type | Output shape |
|---|---|---|---|
| 1 | Input | Input | 1 × 131072 |
| 2 | Embedding | Embedding | 1 × 131072 × 2880 |
| 3 | RoPE | RoPE | 1 × 131072 × 2880 |
| 4 | RMSNorm_1_1 | RMSNorm | 1 × 131072 × 2880 |
| 5 | Attention_1 | Grouped Query Attn | 1 × 131072 × 2880 |
| 6 | Add_1_attn | Add | 1 × 131072 × 2880 |
| 7 | RMSNorm_1_2 | RMSNorm | 1 × 131072 × 2880 |
| 8 | MoE_1 | MoE Layer | 1 × 131072 × 2880 |
| 9 | Add_1_ffn | Add | 1 × 131072 × 2880 |
| 10 | RMSNorm_2_1 | RMSNorm | 1 × 131072 × 2880 |
| 11 | Attention_2 | Grouped Query Attn | 1 × 131072 × 2880 |
| 12 | Add_2_attn | Add | 1 × 131072 × 2880 |
| 13 | RMSNorm_2_2 | RMSNorm | 1 × 131072 × 2880 |
| 14 | MoE_2 | MoE Layer | 1 × 131072 × 2880 |
| 15 | Add_2_ffn | Add | 1 × 131072 × 2880 |
| 16 | RMSNorm_3_1 | RMSNorm | 1 × 131072 × 2880 |
| 17 | Attention_3 | Grouped Query Attn | 1 × 131072 × 2880 |
| 18 | Add_3_attn | Add | 1 × 131072 × 2880 |
| 19 | RMSNorm_3_2 | RMSNorm | 1 × 131072 × 2880 |
| 20 | MoE_3 | MoE Layer | 1 × 131072 × 2880 |
| 21 | Add_3_ffn | Add | 1 × 131072 × 2880 |
| 22 | RMSNorm_4_1 | RMSNorm | 1 × 131072 × 2880 |
| 23 | Attention_4 | Grouped Query Attn | 1 × 131072 × 2880 |
| 24 | Add_4_attn | Add | 1 × 131072 × 2880 |
| 25 | RMSNorm_4_2 | RMSNorm | 1 × 131072 × 2880 |
| 26 | MoE_4 | MoE Layer | 1 × 131072 × 2880 |
| 27 | Add_4_ffn | Add | 1 × 131072 × 2880 |
| 28 | RMSNorm_5_1 | RMSNorm | 1 × 131072 × 2880 |
| 29 | Attention_5 | Grouped Query Attn | 1 × 131072 × 2880 |
| 30 | Add_5_attn | Add | 1 × 131072 × 2880 |
| 31 | RMSNorm_5_2 | RMSNorm | 1 × 131072 × 2880 |
| 32 | MoE_5 | MoE Layer | 1 × 131072 × 2880 |
| 33 | Add_5_ffn | Add | 1 × 131072 × 2880 |
| 34 | RMSNorm_6_1 | RMSNorm | 1 × 131072 × 2880 |
| 35 | Attention_6 | Grouped Query Attn | 1 × 131072 × 2880 |
| 36 | Add_6_attn | Add | 1 × 131072 × 2880 |
| 37 | RMSNorm_6_2 | RMSNorm | 1 × 131072 × 2880 |
| 38 | MoE_6 | MoE Layer | 1 × 131072 × 2880 |
| 39 | Add_6_ffn | Add | 1 × 131072 × 2880 |
| 40 | RMSNorm_7_1 | RMSNorm | 1 × 131072 × 2880 |
| 41 | Attention_7 | Grouped Query Attn | 1 × 131072 × 2880 |
| 42 | Add_7_attn | Add | 1 × 131072 × 2880 |
| 43 | RMSNorm_7_2 | RMSNorm | 1 × 131072 × 2880 |
| 44 | MoE_7 | MoE Layer | 1 × 131072 × 2880 |
| 45 | Add_7_ffn | Add | 1 × 131072 × 2880 |
| 46 | RMSNorm_8_1 | RMSNorm | 1 × 131072 × 2880 |
| 47 | Attention_8 | Grouped Query Attn | 1 × 131072 × 2880 |
| 48 | Add_8_attn | Add | 1 × 131072 × 2880 |
| 49 | RMSNorm_8_2 | RMSNorm | 1 × 131072 × 2880 |
| 50 | MoE_8 | MoE Layer | 1 × 131072 × 2880 |
| 51 | Add_8_ffn | Add | 1 × 131072 × 2880 |
| 52 | RMSNorm_9_1 | RMSNorm | 1 × 131072 × 2880 |
| 53 | Attention_9 | Grouped Query Attn | 1 × 131072 × 2880 |
| 54 | Add_9_attn | Add | 1 × 131072 × 2880 |
| 55 | RMSNorm_9_2 | RMSNorm | 1 × 131072 × 2880 |
| 56 | MoE_9 | MoE Layer | 1 × 131072 × 2880 |
| 57 | Add_9_ffn | Add | 1 × 131072 × 2880 |
| 58 | RMSNorm_10_1 | RMSNorm | 1 × 131072 × 2880 |
| 59 | Attention_10 | Grouped Query Attn | 1 × 131072 × 2880 |
| 60 | Add_10_attn | Add | 1 × 131072 × 2880 |
| 61 | RMSNorm_10_2 | RMSNorm | 1 × 131072 × 2880 |
| 62 | MoE_10 | MoE Layer | 1 × 131072 × 2880 |
| 63 | Add_10_ffn | Add | 1 × 131072 × 2880 |
| 64 | RMSNorm_11_1 | RMSNorm | 1 × 131072 × 2880 |
| 65 | Attention_11 | Grouped Query Attn | 1 × 131072 × 2880 |
| 66 | Add_11_attn | Add | 1 × 131072 × 2880 |
| 67 | RMSNorm_11_2 | RMSNorm | 1 × 131072 × 2880 |
| 68 | MoE_11 | MoE Layer | 1 × 131072 × 2880 |
| 69 | Add_11_ffn | Add | 1 × 131072 × 2880 |
| 70 | RMSNorm_12_1 | RMSNorm | 1 × 131072 × 2880 |
| 71 | Attention_12 | Grouped Query Attn | 1 × 131072 × 2880 |
| 72 | Add_12_attn | Add | 1 × 131072 × 2880 |
| 73 | RMSNorm_12_2 | RMSNorm | 1 × 131072 × 2880 |
| 74 | MoE_12 | MoE Layer | 1 × 131072 × 2880 |
| 75 | Add_12_ffn | Add | 1 × 131072 × 2880 |
| 76 | RMSNorm_13_1 | RMSNorm | 1 × 131072 × 2880 |
| 77 | Attention_13 | Grouped Query Attn | 1 × 131072 × 2880 |
| 78 | Add_13_attn | Add | 1 × 131072 × 2880 |
| 79 | RMSNorm_13_2 | RMSNorm | 1 × 131072 × 2880 |
| 80 | MoE_13 | MoE Layer | 1 × 131072 × 2880 |
| 81 | Add_13_ffn | Add | 1 × 131072 × 2880 |
| 82 | RMSNorm_14_1 | RMSNorm | 1 × 131072 × 2880 |
| 83 | Attention_14 | Grouped Query Attn | 1 × 131072 × 2880 |
| 84 | Add_14_attn | Add | 1 × 131072 × 2880 |
| 85 | RMSNorm_14_2 | RMSNorm | 1 × 131072 × 2880 |
| 86 | MoE_14 | MoE Layer | 1 × 131072 × 2880 |
| 87 | Add_14_ffn | Add | 1 × 131072 × 2880 |
| 88 | RMSNorm_15_1 | RMSNorm | 1 × 131072 × 2880 |
| 89 | Attention_15 | Grouped Query Attn | 1 × 131072 × 2880 |
| 90 | Add_15_attn | Add | 1 × 131072 × 2880 |
| 91 | RMSNorm_15_2 | RMSNorm | 1 × 131072 × 2880 |
| 92 | MoE_15 | MoE Layer | 1 × 131072 × 2880 |
| 93 | Add_15_ffn | Add | 1 × 131072 × 2880 |
| 94 | RMSNorm_16_1 | RMSNorm | 1 × 131072 × 2880 |
| 95 | Attention_16 | Grouped Query Attn | 1 × 131072 × 2880 |
| 96 | Add_16_attn | Add | 1 × 131072 × 2880 |
| 97 | RMSNorm_16_2 | RMSNorm | 1 × 131072 × 2880 |
| 98 | MoE_16 | MoE Layer | 1 × 131072 × 2880 |
| 99 | Add_16_ffn | Add | 1 × 131072 × 2880 |
| 100 | RMSNorm_17_1 | RMSNorm | 1 × 131072 × 2880 |
| 101 | Attention_17 | Grouped Query Attn | 1 × 131072 × 2880 |
| 102 | Add_17_attn | Add | 1 × 131072 × 2880 |
| 103 | RMSNorm_17_2 | RMSNorm | 1 × 131072 × 2880 |
| 104 | MoE_17 | MoE Layer | 1 × 131072 × 2880 |
| 105 | Add_17_ffn | Add | 1 × 131072 × 2880 |
| 106 | RMSNorm_18_1 | RMSNorm | 1 × 131072 × 2880 |
| 107 | Attention_18 | Grouped Query Attn | 1 × 131072 × 2880 |
| 108 | Add_18_attn | Add | 1 × 131072 × 2880 |
| 109 | RMSNorm_18_2 | RMSNorm | 1 × 131072 × 2880 |
| 110 | MoE_18 | MoE Layer | 1 × 131072 × 2880 |
| 111 | Add_18_ffn | Add | 1 × 131072 × 2880 |
| 112 | RMSNorm_19_1 | RMSNorm | 1 × 131072 × 2880 |
| 113 | Attention_19 | Grouped Query Attn | 1 × 131072 × 2880 |
| 114 | Add_19_attn | Add | 1 × 131072 × 2880 |
| 115 | RMSNorm_19_2 | RMSNorm | 1 × 131072 × 2880 |
| 116 | MoE_19 | MoE Layer | 1 × 131072 × 2880 |
| 117 | Add_19_ffn | Add | 1 × 131072 × 2880 |
| 118 | RMSNorm_20_1 | RMSNorm | 1 × 131072 × 2880 |
| 119 | Attention_20 | Grouped Query Attn | 1 × 131072 × 2880 |
| 120 | Add_20_attn | Add | 1 × 131072 × 2880 |
| 121 | RMSNorm_20_2 | RMSNorm | 1 × 131072 × 2880 |
| 122 | MoE_20 | MoE Layer | 1 × 131072 × 2880 |
| 123 | Add_20_ffn | Add | 1 × 131072 × 2880 |
| 124 | RMSNorm_21_1 | RMSNorm | 1 × 131072 × 2880 |
| 125 | Attention_21 | Grouped Query Attn | 1 × 131072 × 2880 |
| 126 | Add_21_attn | Add | 1 × 131072 × 2880 |
| 127 | RMSNorm_21_2 | RMSNorm | 1 × 131072 × 2880 |
| 128 | MoE_21 | MoE Layer | 1 × 131072 × 2880 |
| 129 | Add_21_ffn | Add | 1 × 131072 × 2880 |
| 130 | RMSNorm_22_1 | RMSNorm | 1 × 131072 × 2880 |
| 131 | Attention_22 | Grouped Query Attn | 1 × 131072 × 2880 |
| 132 | Add_22_attn | Add | 1 × 131072 × 2880 |
| 133 | RMSNorm_22_2 | RMSNorm | 1 × 131072 × 2880 |
| 134 | MoE_22 | MoE Layer | 1 × 131072 × 2880 |
| 135 | Add_22_ffn | Add | 1 × 131072 × 2880 |
| 136 | RMSNorm_23_1 | RMSNorm | 1 × 131072 × 2880 |
| 137 | Attention_23 | Grouped Query Attn | 1 × 131072 × 2880 |
| 138 | Add_23_attn | Add | 1 × 131072 × 2880 |
| 139 | RMSNorm_23_2 | RMSNorm | 1 × 131072 × 2880 |
| 140 | MoE_23 | MoE Layer | 1 × 131072 × 2880 |
| 141 | Add_23_ffn | Add | 1 × 131072 × 2880 |
| 142 | RMSNorm_24_1 | RMSNorm | 1 × 131072 × 2880 |
| 143 | Attention_24 | Grouped Query Attn | 1 × 131072 × 2880 |
| 144 | Add_24_attn | Add | 1 × 131072 × 2880 |
| 145 | RMSNorm_24_2 | RMSNorm | 1 × 131072 × 2880 |
| 146 | MoE_24 | MoE Layer | 1 × 131072 × 2880 |
| 147 | Add_24_ffn | Add | 1 × 131072 × 2880 |
| 148 | Final_RMSNorm | RMSNorm | 1 × 131072 × 2880 |
| 149 | LM_Head | Linear | 1 × 131072 × 201088 |
| 150 | Output | Output | 1 × 131072 × 201088 |

## Do this to your own model

```
pip install neurarch-trace
neurarch-trace openai/gpt-oss-20b --plan --share
```

- Page: https://neurarch.com/m/gpt-oss-20b.html
- All models: https://neurarch.com/m/index.json
- The checks: https://neurarch.com/r/index.json