File size: 15,113 Bytes
47325ae | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 | {
"architectures": [
"MiniMaxM2ForCausalLM"
],
"attention_dropout": 0.0,
"attn_type_list": [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
],
"auto_map": {
"AutoConfig": "configuration_minimax_m2.MiniMaxM2Config",
"AutoModelForCausalLM": "modeling_minimax_m2.MiniMaxM2ForCausalLM"
},
"bos_token_id": 1,
"dtype": "bfloat16",
"eos_token_id": 2,
"head_dim": 128,
"hidden_act": "silu",
"hidden_size": 3072,
"initializer_range": 0.02,
"intermediate_size": 1536,
"max_position_embeddings": 196608,
"model_type": "minimax_m2",
"mtp_transformer_layers": 1,
"num_attention_heads": 48,
"num_experts_per_tok": 8,
"num_hidden_layers": 62,
"num_key_value_heads": 8,
"num_local_experts": 256,
"num_mtp_modules": 3,
"output_router_logits": false,
"partial_rotary_factor": 0.5,
"qk_norm_type": "per_layer",
"quantization_config": {
"config_groups": {
"group_0": {
"input_activations": {
"dynamic": false,
"num_bits": 4,
"type": "float",
"group_size": 16
},
"weights": {
"dynamic": false,
"num_bits": 4,
"type": "float",
"group_size": 16
},
"targets": [
"Linear"
]
}
},
"ignore": [
"lm_head",
"model.layers.0.block_sparse_moe.gate",
"model.layers.0.self_attn.k_proj",
"model.layers.0.self_attn.q_proj",
"model.layers.0.self_attn.v_proj",
"model.layers.1.block_sparse_moe.gate",
"model.layers.1.self_attn.k_proj",
"model.layers.1.self_attn.q_proj",
"model.layers.1.self_attn.v_proj",
"model.layers.10.block_sparse_moe.gate",
"model.layers.10.self_attn.k_proj",
"model.layers.10.self_attn.q_proj",
"model.layers.10.self_attn.v_proj",
"model.layers.11.block_sparse_moe.gate",
"model.layers.11.self_attn.k_proj",
"model.layers.11.self_attn.q_proj",
"model.layers.11.self_attn.v_proj",
"model.layers.12.block_sparse_moe.gate",
"model.layers.12.self_attn.k_proj",
"model.layers.12.self_attn.q_proj",
"model.layers.12.self_attn.v_proj",
"model.layers.13.block_sparse_moe.gate",
"model.layers.13.self_attn.k_proj",
"model.layers.13.self_attn.q_proj",
"model.layers.13.self_attn.v_proj",
"model.layers.14.block_sparse_moe.gate",
"model.layers.14.self_attn.k_proj",
"model.layers.14.self_attn.q_proj",
"model.layers.14.self_attn.v_proj",
"model.layers.15.block_sparse_moe.gate",
"model.layers.15.self_attn.k_proj",
"model.layers.15.self_attn.q_proj",
"model.layers.15.self_attn.v_proj",
"model.layers.16.block_sparse_moe.gate",
"model.layers.16.self_attn.k_proj",
"model.layers.16.self_attn.q_proj",
"model.layers.16.self_attn.v_proj",
"model.layers.17.block_sparse_moe.gate",
"model.layers.17.self_attn.k_proj",
"model.layers.17.self_attn.q_proj",
"model.layers.17.self_attn.v_proj",
"model.layers.18.block_sparse_moe.gate",
"model.layers.18.self_attn.k_proj",
"model.layers.18.self_attn.q_proj",
"model.layers.18.self_attn.v_proj",
"model.layers.19.block_sparse_moe.gate",
"model.layers.19.self_attn.k_proj",
"model.layers.19.self_attn.q_proj",
"model.layers.19.self_attn.v_proj",
"model.layers.2.block_sparse_moe.gate",
"model.layers.2.self_attn.k_proj",
"model.layers.2.self_attn.q_proj",
"model.layers.2.self_attn.v_proj",
"model.layers.20.block_sparse_moe.gate",
"model.layers.20.self_attn.k_proj",
"model.layers.20.self_attn.q_proj",
"model.layers.20.self_attn.v_proj",
"model.layers.21.block_sparse_moe.gate",
"model.layers.21.self_attn.k_proj",
"model.layers.21.self_attn.q_proj",
"model.layers.21.self_attn.v_proj",
"model.layers.22.block_sparse_moe.gate",
"model.layers.22.self_attn.k_proj",
"model.layers.22.self_attn.q_proj",
"model.layers.22.self_attn.v_proj",
"model.layers.23.block_sparse_moe.gate",
"model.layers.23.self_attn.k_proj",
"model.layers.23.self_attn.q_proj",
"model.layers.23.self_attn.v_proj",
"model.layers.24.block_sparse_moe.gate",
"model.layers.24.self_attn.k_proj",
"model.layers.24.self_attn.q_proj",
"model.layers.24.self_attn.v_proj",
"model.layers.25.block_sparse_moe.gate",
"model.layers.25.self_attn.k_proj",
"model.layers.25.self_attn.q_proj",
"model.layers.25.self_attn.v_proj",
"model.layers.26.block_sparse_moe.gate",
"model.layers.26.self_attn.k_proj",
"model.layers.26.self_attn.q_proj",
"model.layers.26.self_attn.v_proj",
"model.layers.27.block_sparse_moe.gate",
"model.layers.27.self_attn.k_proj",
"model.layers.27.self_attn.q_proj",
"model.layers.27.self_attn.v_proj",
"model.layers.28.block_sparse_moe.gate",
"model.layers.28.self_attn.k_proj",
"model.layers.28.self_attn.q_proj",
"model.layers.28.self_attn.v_proj",
"model.layers.29.block_sparse_moe.gate",
"model.layers.29.self_attn.k_proj",
"model.layers.29.self_attn.q_proj",
"model.layers.29.self_attn.v_proj",
"model.layers.3.block_sparse_moe.gate",
"model.layers.3.self_attn.k_proj",
"model.layers.3.self_attn.q_proj",
"model.layers.3.self_attn.v_proj",
"model.layers.30.block_sparse_moe.gate",
"model.layers.30.self_attn.k_proj",
"model.layers.30.self_attn.q_proj",
"model.layers.30.self_attn.v_proj",
"model.layers.31.block_sparse_moe.gate",
"model.layers.31.self_attn.k_proj",
"model.layers.31.self_attn.q_proj",
"model.layers.31.self_attn.v_proj",
"model.layers.32.block_sparse_moe.gate",
"model.layers.32.self_attn.k_proj",
"model.layers.32.self_attn.q_proj",
"model.layers.32.self_attn.v_proj",
"model.layers.33.block_sparse_moe.gate",
"model.layers.33.self_attn.k_proj",
"model.layers.33.self_attn.q_proj",
"model.layers.33.self_attn.v_proj",
"model.layers.34.block_sparse_moe.gate",
"model.layers.34.self_attn.k_proj",
"model.layers.34.self_attn.q_proj",
"model.layers.34.self_attn.v_proj",
"model.layers.35.block_sparse_moe.gate",
"model.layers.35.self_attn.k_proj",
"model.layers.35.self_attn.q_proj",
"model.layers.35.self_attn.v_proj",
"model.layers.36.block_sparse_moe.gate",
"model.layers.36.self_attn.k_proj",
"model.layers.36.self_attn.q_proj",
"model.layers.36.self_attn.v_proj",
"model.layers.37.block_sparse_moe.gate",
"model.layers.37.self_attn.k_proj",
"model.layers.37.self_attn.q_proj",
"model.layers.37.self_attn.v_proj",
"model.layers.38.block_sparse_moe.gate",
"model.layers.38.self_attn.k_proj",
"model.layers.38.self_attn.q_proj",
"model.layers.38.self_attn.v_proj",
"model.layers.39.block_sparse_moe.gate",
"model.layers.39.self_attn.k_proj",
"model.layers.39.self_attn.q_proj",
"model.layers.39.self_attn.v_proj",
"model.layers.4.block_sparse_moe.gate",
"model.layers.4.self_attn.k_proj",
"model.layers.4.self_attn.q_proj",
"model.layers.4.self_attn.v_proj",
"model.layers.40.block_sparse_moe.gate",
"model.layers.40.self_attn.k_proj",
"model.layers.40.self_attn.q_proj",
"model.layers.40.self_attn.v_proj",
"model.layers.41.block_sparse_moe.gate",
"model.layers.41.self_attn.k_proj",
"model.layers.41.self_attn.q_proj",
"model.layers.41.self_attn.v_proj",
"model.layers.42.block_sparse_moe.gate",
"model.layers.42.self_attn.k_proj",
"model.layers.42.self_attn.q_proj",
"model.layers.42.self_attn.v_proj",
"model.layers.43.block_sparse_moe.gate",
"model.layers.43.self_attn.k_proj",
"model.layers.43.self_attn.q_proj",
"model.layers.43.self_attn.v_proj",
"model.layers.44.block_sparse_moe.gate",
"model.layers.44.self_attn.k_proj",
"model.layers.44.self_attn.q_proj",
"model.layers.44.self_attn.v_proj",
"model.layers.45.block_sparse_moe.gate",
"model.layers.45.self_attn.k_proj",
"model.layers.45.self_attn.q_proj",
"model.layers.45.self_attn.v_proj",
"model.layers.46.block_sparse_moe.gate",
"model.layers.46.self_attn.k_proj",
"model.layers.46.self_attn.q_proj",
"model.layers.46.self_attn.v_proj",
"model.layers.47.block_sparse_moe.gate",
"model.layers.47.self_attn.k_proj",
"model.layers.47.self_attn.q_proj",
"model.layers.47.self_attn.v_proj",
"model.layers.48.block_sparse_moe.gate",
"model.layers.48.self_attn.k_proj",
"model.layers.48.self_attn.q_proj",
"model.layers.48.self_attn.v_proj",
"model.layers.49.block_sparse_moe.gate",
"model.layers.49.self_attn.k_proj",
"model.layers.49.self_attn.q_proj",
"model.layers.49.self_attn.v_proj",
"model.layers.5.block_sparse_moe.gate",
"model.layers.5.self_attn.k_proj",
"model.layers.5.self_attn.q_proj",
"model.layers.5.self_attn.v_proj",
"model.layers.50.block_sparse_moe.gate",
"model.layers.50.self_attn.k_proj",
"model.layers.50.self_attn.q_proj",
"model.layers.50.self_attn.v_proj",
"model.layers.51.block_sparse_moe.gate",
"model.layers.51.self_attn.k_proj",
"model.layers.51.self_attn.q_proj",
"model.layers.51.self_attn.v_proj",
"model.layers.52.block_sparse_moe.gate",
"model.layers.52.self_attn.k_proj",
"model.layers.52.self_attn.q_proj",
"model.layers.52.self_attn.v_proj",
"model.layers.53.block_sparse_moe.gate",
"model.layers.53.self_attn.k_proj",
"model.layers.53.self_attn.q_proj",
"model.layers.53.self_attn.v_proj",
"model.layers.54.block_sparse_moe.gate",
"model.layers.54.self_attn.k_proj",
"model.layers.54.self_attn.q_proj",
"model.layers.54.self_attn.v_proj",
"model.layers.55.block_sparse_moe.gate",
"model.layers.55.self_attn.k_proj",
"model.layers.55.self_attn.q_proj",
"model.layers.55.self_attn.v_proj",
"model.layers.56.block_sparse_moe.gate",
"model.layers.56.self_attn.k_proj",
"model.layers.56.self_attn.q_proj",
"model.layers.56.self_attn.v_proj",
"model.layers.57.block_sparse_moe.gate",
"model.layers.57.self_attn.k_proj",
"model.layers.57.self_attn.q_proj",
"model.layers.57.self_attn.v_proj",
"model.layers.58.block_sparse_moe.gate",
"model.layers.58.self_attn.k_proj",
"model.layers.58.self_attn.q_proj",
"model.layers.58.self_attn.v_proj",
"model.layers.59.block_sparse_moe.gate",
"model.layers.59.self_attn.k_proj",
"model.layers.59.self_attn.q_proj",
"model.layers.59.self_attn.v_proj",
"model.layers.6.block_sparse_moe.gate",
"model.layers.6.self_attn.k_proj",
"model.layers.6.self_attn.q_proj",
"model.layers.6.self_attn.v_proj",
"model.layers.60.block_sparse_moe.gate",
"model.layers.60.self_attn.k_proj",
"model.layers.60.self_attn.q_proj",
"model.layers.60.self_attn.v_proj",
"model.layers.61.block_sparse_moe.gate",
"model.layers.61.self_attn.k_proj",
"model.layers.61.self_attn.q_proj",
"model.layers.61.self_attn.v_proj",
"model.layers.7.block_sparse_moe.gate",
"model.layers.7.self_attn.k_proj",
"model.layers.7.self_attn.q_proj",
"model.layers.7.self_attn.v_proj",
"model.layers.8.block_sparse_moe.gate",
"model.layers.8.self_attn.k_proj",
"model.layers.8.self_attn.q_proj",
"model.layers.8.self_attn.v_proj",
"model.layers.9.block_sparse_moe.gate",
"model.layers.9.self_attn.k_proj",
"model.layers.9.self_attn.q_proj",
"model.layers.9.self_attn.v_proj"
],
"quant_algo": "NVFP4",
"kv_cache_scheme": {
"dynamic": false,
"num_bits": 8,
"type": "float"
},
"producer": {
"name": "modelopt",
"version": "0.43.0.dev69+ga4fde491c"
},
"quant_method": "modelopt"
},
"rms_norm_eps": 1e-06,
"rope_theta": 5000000,
"rotary_dim": 64,
"router_aux_loss_coef": 0.001,
"router_jitter_noise": 0.0,
"scoring_func": "sigmoid",
"shared_intermediate_size": 0,
"sliding_window": null,
"tie_word_embeddings": false,
"transformers_version": "4.56.0",
"use_cache": true,
"use_mtp": true,
"use_qk_norm": true,
"use_routing_bias": true,
"vocab_size": 200064
} |