Upload complete model
Browse files- config.json +614 -0
config.json
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| 1 |
+
{
|
| 2 |
+
"architectures": [
|
| 3 |
+
"MiniMaxM2ForCausalLM"
|
| 4 |
+
],
|
| 5 |
+
"attention_dropout": 0.0,
|
| 6 |
+
"attn_type_list": [
|
| 7 |
+
1,
|
| 8 |
+
1,
|
| 9 |
+
1,
|
| 10 |
+
1,
|
| 11 |
+
1,
|
| 12 |
+
1,
|
| 13 |
+
1,
|
| 14 |
+
1,
|
| 15 |
+
1,
|
| 16 |
+
1,
|
| 17 |
+
1,
|
| 18 |
+
1,
|
| 19 |
+
1,
|
| 20 |
+
1,
|
| 21 |
+
1,
|
| 22 |
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1,
|
| 23 |
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1,
|
| 24 |
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1,
|
| 25 |
+
1,
|
| 26 |
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1,
|
| 27 |
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1,
|
| 28 |
+
1,
|
| 29 |
+
1,
|
| 30 |
+
1,
|
| 31 |
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|
| 32 |
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|
| 33 |
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|
| 34 |
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|
| 35 |
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|
| 36 |
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|
| 37 |
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|
| 38 |
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|
| 39 |
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|
| 40 |
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|
| 41 |
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|
| 42 |
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|
| 43 |
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|
| 44 |
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| 45 |
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| 46 |
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| 47 |
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|
| 48 |
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| 49 |
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|
| 50 |
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| 51 |
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| 52 |
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|
| 53 |
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|
| 54 |
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|
| 55 |
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|
| 56 |
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|
| 57 |
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|
| 58 |
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|
| 59 |
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|
| 60 |
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|
| 61 |
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|
| 62 |
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1,
|
| 63 |
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1,
|
| 64 |
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1,
|
| 65 |
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1,
|
| 66 |
+
1,
|
| 67 |
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1,
|
| 68 |
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1
|
| 69 |
+
],
|
| 70 |
+
"bos_token_id": null,
|
| 71 |
+
"eos_token_id": null,
|
| 72 |
+
"head_dim": 128,
|
| 73 |
+
"hidden_act": "silu",
|
| 74 |
+
"hidden_size": 3072,
|
| 75 |
+
"initializer_range": 0.02,
|
| 76 |
+
"intermediate_size": 1536,
|
| 77 |
+
"layernorm_full_attention_beta": 1.0,
|
| 78 |
+
"layernorm_linear_attention_beta": 1.0,
|
| 79 |
+
"layernorm_mlp_beta": 1.0,
|
| 80 |
+
"max_position_embeddings": 196608,
|
| 81 |
+
"mlp_intermediate_size": 8192,
|
| 82 |
+
"model_type": "minimax",
|
| 83 |
+
"mtp_transformer_layers": 1,
|
| 84 |
+
"num_attention_heads": 48,
|
| 85 |
+
"num_experts_per_tok": 8,
|
| 86 |
+
"num_hidden_layers": 62,
|
| 87 |
+
"num_key_value_heads": 8,
|
| 88 |
+
"num_local_experts": 256,
|
| 89 |
+
"num_mtp_modules": 3,
|
| 90 |
+
"output_router_logits": false,
|
| 91 |
+
"qk_norm_type": "per_layer",
|
| 92 |
+
"quantization": {
|
| 93 |
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"group_size": 64,
|
| 94 |
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"bits": 6,
|
| 95 |
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"mode": "affine",
|
| 96 |
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"model.layers.0.block_sparse_moe.gate": {
|
| 97 |
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"group_size": 64,
|
| 98 |
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"bits": 8
|
| 99 |
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},
|
| 100 |
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"model.layers.1.block_sparse_moe.gate": {
|
| 101 |
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"group_size": 64,
|
| 102 |
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"bits": 8
|
| 103 |
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},
|
| 104 |
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"model.layers.2.block_sparse_moe.gate": {
|
| 105 |
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"group_size": 64,
|
| 106 |
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"bits": 8
|
| 107 |
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},
|
| 108 |
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"model.layers.3.block_sparse_moe.gate": {
|
| 109 |
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"group_size": 64,
|
| 110 |
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"bits": 8
|
| 111 |
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},
|
| 112 |
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"model.layers.4.block_sparse_moe.gate": {
|
| 113 |
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"group_size": 64,
|
| 114 |
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"bits": 8
|
| 115 |
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},
|
| 116 |
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"model.layers.5.block_sparse_moe.gate": {
|
| 117 |
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"group_size": 64,
|
| 118 |
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"bits": 8
|
| 119 |
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},
|
| 120 |
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"model.layers.6.block_sparse_moe.gate": {
|
| 121 |
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"group_size": 64,
|
| 122 |
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"bits": 8
|
| 123 |
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},
|
| 124 |
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"model.layers.7.block_sparse_moe.gate": {
|
| 125 |
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"group_size": 64,
|
| 126 |
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"bits": 8
|
| 127 |
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},
|
| 128 |
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"model.layers.8.block_sparse_moe.gate": {
|
| 129 |
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"group_size": 64,
|
| 130 |
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"bits": 8
|
| 131 |
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},
|
| 132 |
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"model.layers.9.block_sparse_moe.gate": {
|
| 133 |
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"group_size": 64,
|
| 134 |
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"bits": 8
|
| 135 |
+
},
|
| 136 |
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"model.layers.10.block_sparse_moe.gate": {
|
| 137 |
+
"group_size": 64,
|
| 138 |
+
"bits": 8
|
| 139 |
+
},
|
| 140 |
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"model.layers.11.block_sparse_moe.gate": {
|
| 141 |
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