Upload config.json with huggingface_hub
Browse files- config.json +432 -0
config.json
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| 1 |
+
{
|
| 2 |
+
"architectures": [
|
| 3 |
+
"Qwen3MoeForCausalLM"
|
| 4 |
+
],
|
| 5 |
+
"attention_bias": false,
|
| 6 |
+
"attention_dropout": 0.0,
|
| 7 |
+
"bos_token_id": 151643,
|
| 8 |
+
"decoder_sparse_step": 1,
|
| 9 |
+
"eos_token_id": 151645,
|
| 10 |
+
"head_dim": 128,
|
| 11 |
+
"hidden_act": "silu",
|
| 12 |
+
"hidden_size": 2048,
|
| 13 |
+
"initializer_range": 0.02,
|
| 14 |
+
"intermediate_size": 6144,
|
| 15 |
+
"max_position_embeddings": 262144,
|
| 16 |
+
"max_window_layers": 48,
|
| 17 |
+
"mlp_only_layers": [],
|
| 18 |
+
"model_type": "qwen3_moe",
|
| 19 |
+
"moe_intermediate_size": 768,
|
| 20 |
+
"norm_topk_prob": true,
|
| 21 |
+
"num_attention_heads": 32,
|
| 22 |
+
"num_experts": 128,
|
| 23 |
+
"num_experts_per_tok": 8,
|
| 24 |
+
"num_hidden_layers": 48,
|
| 25 |
+
"num_key_value_heads": 4,
|
| 26 |
+
"output_router_logits": false,
|
| 27 |
+
"quantization": {
|
| 28 |
+
"group_size": 64,
|
| 29 |
+
"bits": 8,
|
| 30 |
+
"mode": "affine",
|
| 31 |
+
"model.layers.0.mlp.gate": {
|
| 32 |
+
"group_size": 64,
|
| 33 |
+
"bits": 8
|
| 34 |
+
},
|
| 35 |
+
"model.layers.1.mlp.gate": {
|
| 36 |
+
"group_size": 64,
|
| 37 |
+
"bits": 8
|
| 38 |
+
},
|
| 39 |
+
"model.layers.2.mlp.gate": {
|
| 40 |
+
"group_size": 64,
|
| 41 |
+
"bits": 8
|
| 42 |
+
},
|
| 43 |
+
"model.layers.3.mlp.gate": {
|
| 44 |
+
"group_size": 64,
|
| 45 |
+
"bits": 8
|
| 46 |
+
},
|
| 47 |
+
"model.layers.4.mlp.gate": {
|
| 48 |
+
"group_size": 64,
|
| 49 |
+
"bits": 8
|
| 50 |
+
},
|
| 51 |
+
"model.layers.5.mlp.gate": {
|
| 52 |
+
"group_size": 64,
|
| 53 |
+
"bits": 8
|
| 54 |
+
},
|
| 55 |
+
"model.layers.6.mlp.gate": {
|
| 56 |
+
"group_size": 64,
|
| 57 |
+
"bits": 8
|
| 58 |
+
},
|
| 59 |
+
"model.layers.7.mlp.gate": {
|
| 60 |
+
"group_size": 64,
|
| 61 |
+
"bits": 8
|
| 62 |
+
},
|
| 63 |
+
"model.layers.8.mlp.gate": {
|
| 64 |
+
"group_size": 64,
|
| 65 |
+
"bits": 8
|
| 66 |
+
},
|
| 67 |
+
"model.layers.9.mlp.gate": {
|
| 68 |
+
"group_size": 64,
|
| 69 |
+
"bits": 8
|
| 70 |
+
},
|
| 71 |
+
"model.layers.10.mlp.gate": {
|
| 72 |
+
"group_size": 64,
|
| 73 |
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"bits": 8
|
| 74 |
+
},
|
| 75 |
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"model.layers.11.mlp.gate": {
|
| 76 |
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"group_size": 64,
|
| 77 |
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"bits": 8
|
| 78 |
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},
|
| 79 |
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"model.layers.12.mlp.gate": {
|
| 80 |
+
"group_size": 64,
|
| 81 |
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"bits": 8
|
| 82 |
+
},
|
| 83 |
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"model.layers.13.mlp.gate": {
|
| 84 |
+
"group_size": 64,
|
| 85 |
+
"bits": 8
|
| 86 |
+
},
|
| 87 |
+
"model.layers.14.mlp.gate": {
|
| 88 |
+
"group_size": 64,
|
| 89 |
+
"bits": 8
|
| 90 |
+
},
|
| 91 |
+
"model.layers.15.mlp.gate": {
|
| 92 |
+
"group_size": 64,
|
| 93 |
+
"bits": 8
|
| 94 |
+
},
|
| 95 |
+
"model.layers.16.mlp.gate": {
|
| 96 |
+
"group_size": 64,
|
| 97 |
+
"bits": 8
|
| 98 |
+
},
|
| 99 |
+
"model.layers.17.mlp.gate": {
|
| 100 |
+
"group_size": 64,
|
| 101 |
+
"bits": 8
|
| 102 |
+
},
|
| 103 |
+
"model.layers.18.mlp.gate": {
|
| 104 |
+
"group_size": 64,
|
| 105 |
+
"bits": 8
|
| 106 |
+
},
|
| 107 |
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"model.layers.19.mlp.gate": {
|
| 108 |
+
"group_size": 64,
|
| 109 |
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"bits": 8
|
| 110 |
+
},
|
| 111 |
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"model.layers.20.mlp.gate": {
|
| 112 |
+
"group_size": 64,
|
| 113 |
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"bits": 8
|
| 114 |
+
},
|
| 115 |
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"model.layers.21.mlp.gate": {
|
| 116 |
+
"group_size": 64,
|
| 117 |
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"bits": 8
|
| 118 |
+
},
|
| 119 |
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"model.layers.22.mlp.gate": {
|
| 120 |
+
"group_size": 64,
|
| 121 |
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"bits": 8
|
| 122 |
+
},
|
| 123 |
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"model.layers.23.mlp.gate": {
|
| 124 |
+
"group_size": 64,
|
| 125 |
+
"bits": 8
|
| 126 |
+
},
|
| 127 |
+
"model.layers.24.mlp.gate": {
|
| 128 |
+
"group_size": 64,
|
| 129 |
+
"bits": 8
|
| 130 |
+
},
|
| 131 |
+
"model.layers.25.mlp.gate": {
|
| 132 |
+
"group_size": 64,
|
| 133 |
+
"bits": 8
|
| 134 |
+
},
|
| 135 |
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"model.layers.26.mlp.gate": {
|
| 136 |
+
"group_size": 64,
|
| 137 |
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"bits": 8
|
| 138 |
+
},
|
| 139 |
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"model.layers.27.mlp.gate": {
|
| 140 |
+
"group_size": 64,
|
| 141 |
+
"bits": 8
|
| 142 |
+
},
|
| 143 |
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"model.layers.28.mlp.gate": {
|
| 144 |
+
"group_size": 64,
|
| 145 |
+
"bits": 8
|
| 146 |
+
},
|
| 147 |
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"model.layers.29.mlp.gate": {
|
| 148 |
+
"group_size": 64,
|
| 149 |
+
"bits": 8
|
| 150 |
+
},
|
| 151 |
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"model.layers.30.mlp.gate": {
|
| 152 |
+
"group_size": 64,
|
| 153 |
+
"bits": 8
|
| 154 |
+
},
|
| 155 |
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"model.layers.31.mlp.gate": {
|
| 156 |
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"group_size": 64,
|
| 157 |
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"bits": 8
|
| 158 |
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},
|
| 159 |
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"model.layers.32.mlp.gate": {
|
| 160 |
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"group_size": 64,
|
| 161 |
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"bits": 8
|
| 162 |
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},
|
| 163 |
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"model.layers.33.mlp.gate": {
|
| 164 |
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"group_size": 64,
|
| 165 |
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"bits": 8
|
| 166 |
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},
|
| 167 |
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"model.layers.34.mlp.gate": {
|
| 168 |
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"group_size": 64,
|
| 169 |
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"bits": 8
|
| 170 |
+
},
|
| 171 |
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"model.layers.35.mlp.gate": {
|
| 172 |
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"group_size": 64,
|
| 173 |
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"bits": 8
|
| 174 |
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},
|
| 175 |
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"model.layers.36.mlp.gate": {
|
| 176 |
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"group_size": 64,
|
| 177 |
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"bits": 8
|
| 178 |
+
},
|
| 179 |
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"model.layers.37.mlp.gate": {
|
| 180 |
+
"group_size": 64,
|
| 181 |
+
"bits": 8
|
| 182 |
+
},
|
| 183 |
+
"model.layers.38.mlp.gate": {
|
| 184 |
+
"group_size": 64,
|
| 185 |
+
"bits": 8
|
| 186 |
+
},
|
| 187 |
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"model.layers.39.mlp.gate": {
|
| 188 |
+
"group_size": 64,
|
| 189 |
+
"bits": 8
|
| 190 |
+
},
|
| 191 |
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"model.layers.40.mlp.gate": {
|
| 192 |
+
"group_size": 64,
|
| 193 |
+
"bits": 8
|
| 194 |
+
},
|
| 195 |
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"model.layers.41.mlp.gate": {
|
| 196 |
+
"group_size": 64,
|
| 197 |
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"bits": 8
|
| 198 |
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},
|
| 199 |
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"model.layers.42.mlp.gate": {
|
| 200 |
+
"group_size": 64,
|
| 201 |
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"bits": 8
|
| 202 |
+
},
|
| 203 |
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"model.layers.43.mlp.gate": {
|
| 204 |
+
"group_size": 64,
|
| 205 |
+
"bits": 8
|
| 206 |
+
},
|
| 207 |
+
"model.layers.44.mlp.gate": {
|
| 208 |
+
"group_size": 64,
|
| 209 |
+
"bits": 8
|
| 210 |
+
},
|
| 211 |
+
"model.layers.45.mlp.gate": {
|
| 212 |
+
"group_size": 64,
|
| 213 |
+
"bits": 8
|
| 214 |
+
},
|
| 215 |
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"model.layers.46.mlp.gate": {
|
| 216 |
+
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