File size: 6,059 Bytes
062c779 |
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 |
{
"architectures": [
"BailingMoeLinearV2ForCausalLM"
],
"attention_dropout": 0.0,
"auto_map": {
"AutoConfig": "configuration_bailing_moe_linear_v2.BailingMoeLinearV2Config",
"AutoModel": "modeling_bailing_moe_linear_v2.BailingMoeLinearV2Model",
"AutoModelForCausalLM": "modeling_bailing_moe_linear_v2.BailingMoeLinearV2ForCausalLM"
},
"embedding_dropout": 0.0,
"eos_token_id": 156892,
"first_k_dense_replace": 1,
"group_norm_size": 4,
"head_dim": 128,
"hidden_act": "silu",
"hidden_size": 2048,
"intermediate_size": 5120,
"layer_group_size": 5,
"linear_silu": false,
"max_position_embeddings": 131072,
"model_type": "bailing_moe_linear",
"moe_intermediate_size": 512,
"moe_router_enable_expert_bias": true,
"moe_shared_expert_intermediate_size": 512,
"n_group": 8,
"norm_topk_prob": true,
"num_attention_heads": 16,
"num_experts": 256,
"num_experts_per_tok": 8,
"num_hidden_layers": 20,
"num_key_value_heads": 4,
"num_nextn_predict_layers": 0,
"num_shared_experts": 1,
"output_dropout": 0.0,
"pad_token_id": 156892,
"partial_rotary_factor": 0.5,
"quantization": {
"group_size": 64,
"bits": 4,
"mode": "affine",
"model.layers.1.mlp.gate.gate_proj": {
"group_size": 64,
"bits": 8
},
"model.layers.2.mlp.gate.gate_proj": {
"group_size": 64,
"bits": 8
},
"model.layers.3.mlp.gate.gate_proj": {
"group_size": 64,
"bits": 8
},
"model.layers.4.mlp.gate.gate_proj": {
"group_size": 64,
"bits": 8
},
"model.layers.5.mlp.gate.gate_proj": {
"group_size": 64,
"bits": 8
},
"model.layers.6.mlp.gate.gate_proj": {
"group_size": 64,
"bits": 8
},
"model.layers.7.mlp.gate.gate_proj": {
"group_size": 64,
"bits": 8
},
"model.layers.8.mlp.gate.gate_proj": {
"group_size": 64,
"bits": 8
},
"model.layers.9.mlp.gate.gate_proj": {
"group_size": 64,
"bits": 8
},
"model.layers.10.mlp.gate.gate_proj": {
"group_size": 64,
"bits": 8
},
"model.layers.11.mlp.gate.gate_proj": {
"group_size": 64,
"bits": 8
},
"model.layers.12.mlp.gate.gate_proj": {
"group_size": 64,
"bits": 8
},
"model.layers.13.mlp.gate.gate_proj": {
"group_size": 64,
"bits": 8
},
"model.layers.14.mlp.gate.gate_proj": {
"group_size": 64,
"bits": 8
},
"model.layers.15.mlp.gate.gate_proj": {
"group_size": 64,
"bits": 8
},
"model.layers.16.mlp.gate.gate_proj": {
"group_size": 64,
"bits": 8
},
"model.layers.17.mlp.gate.gate_proj": {
"group_size": 64,
"bits": 8
},
"model.layers.18.mlp.gate.gate_proj": {
"group_size": 64,
"bits": 8
},
"model.layers.19.mlp.gate.gate_proj": {
"group_size": 64,
"bits": 8
}
},
"quantization_config": {
"group_size": 64,
"bits": 4,
"mode": "affine",
"model.layers.1.mlp.gate.gate_proj": {
"group_size": 64,
"bits": 8
},
"model.layers.2.mlp.gate.gate_proj": {
"group_size": 64,
"bits": 8
},
"model.layers.3.mlp.gate.gate_proj": {
"group_size": 64,
"bits": 8
},
"model.layers.4.mlp.gate.gate_proj": {
"group_size": 64,
"bits": 8
},
"model.layers.5.mlp.gate.gate_proj": {
"group_size": 64,
"bits": 8
},
"model.layers.6.mlp.gate.gate_proj": {
"group_size": 64,
"bits": 8
},
"model.layers.7.mlp.gate.gate_proj": {
"group_size": 64,
"bits": 8
},
"model.layers.8.mlp.gate.gate_proj": {
"group_size": 64,
"bits": 8
},
"model.layers.9.mlp.gate.gate_proj": {
"group_size": 64,
"bits": 8
},
"model.layers.10.mlp.gate.gate_proj": {
"group_size": 64,
"bits": 8
},
"model.layers.11.mlp.gate.gate_proj": {
"group_size": 64,
"bits": 8
},
"model.layers.12.mlp.gate.gate_proj": {
"group_size": 64,
"bits": 8
},
"model.layers.13.mlp.gate.gate_proj": {
"group_size": 64,
"bits": 8
},
"model.layers.14.mlp.gate.gate_proj": {
"group_size": 64,
"bits": 8
},
"model.layers.15.mlp.gate.gate_proj": {
"group_size": 64,
"bits": 8
},
"model.layers.16.mlp.gate.gate_proj": {
"group_size": 64,
"bits": 8
},
"model.layers.17.mlp.gate.gate_proj": {
"group_size": 64,
"bits": 8
},
"model.layers.18.mlp.gate.gate_proj": {
"group_size": 64,
"bits": 8
},
"model.layers.19.mlp.gate.gate_proj": {
"group_size": 64,
"bits": 8
}
},
"rms_norm_eps": 1e-06,
"rope_scaling": null,
"rope_theta": 1000000,
"routed_scaling_factor": 2.5,
"router_dtype": "fp32",
"score_function": "sigmoid",
"tie_word_embeddings": false,
"topk_group": 4,
"torch_dtype": "bfloat16",
"transformers_version": "4.56.1",
"use_bias": false,
"use_cache": true,
"use_qk_norm": true,
"use_qkv_bias": false,
"use_rmsnorm": true,
"vocab_size": 157184
} |