File size: 6,132 Bytes
088443f 9c3ed14 088443f 9c3ed14 088443f 9c3ed14 088443f 9c3ed14 088443f |
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 |
{
"_name_or_path": "BlackSamorez/Mixtral-8x7b-AQLM-2Bit-1x16-hf",
"architectures": [
"MixtralForCausalLM"
],
"attention_dropout": 0.0,
"bos_token_id": 1,
"eos_token_id": 2,
"hidden_act": "silu",
"hidden_size": 4096,
"initializer_range": 0.02,
"intermediate_size": 14336,
"max_position_embeddings": 32768,
"model_type": "mixtral",
"num_attention_heads": 32,
"num_experts_per_tok": 2,
"num_hidden_layers": 32,
"num_key_value_heads": 8,
"num_local_experts": 8,
"output_router_logits": false,
"quantization_config": {
"in_group_size": 8,
"linear_weights_not_to_quantize": [
"model.layers.0.block_sparse_moe.gate.weight",
"model.layers.0.input_layernorm.weight",
"model.layers.0.post_attention_layernorm.weight",
"model.layers.1.block_sparse_moe.gate.weight",
"model.layers.1.input_layernorm.weight",
"model.layers.1.post_attention_layernorm.weight",
"model.layers.2.block_sparse_moe.gate.weight",
"model.layers.2.input_layernorm.weight",
"model.layers.2.post_attention_layernorm.weight",
"model.layers.3.block_sparse_moe.gate.weight",
"model.layers.3.input_layernorm.weight",
"model.layers.3.post_attention_layernorm.weight",
"model.layers.4.block_sparse_moe.gate.weight",
"model.layers.4.input_layernorm.weight",
"model.layers.4.post_attention_layernorm.weight",
"model.layers.5.block_sparse_moe.gate.weight",
"model.layers.5.input_layernorm.weight",
"model.layers.5.post_attention_layernorm.weight",
"model.layers.6.block_sparse_moe.gate.weight",
"model.layers.6.input_layernorm.weight",
"model.layers.6.post_attention_layernorm.weight",
"model.layers.7.block_sparse_moe.gate.weight",
"model.layers.7.input_layernorm.weight",
"model.layers.7.post_attention_layernorm.weight",
"model.layers.8.block_sparse_moe.gate.weight",
"model.layers.8.input_layernorm.weight",
"model.layers.8.post_attention_layernorm.weight",
"model.layers.9.block_sparse_moe.gate.weight",
"model.layers.9.input_layernorm.weight",
"model.layers.9.post_attention_layernorm.weight",
"model.layers.10.block_sparse_moe.gate.weight",
"model.layers.10.input_layernorm.weight",
"model.layers.10.post_attention_layernorm.weight",
"model.layers.11.block_sparse_moe.gate.weight",
"model.layers.11.input_layernorm.weight",
"model.layers.11.post_attention_layernorm.weight",
"model.layers.12.block_sparse_moe.gate.weight",
"model.layers.12.input_layernorm.weight",
"model.layers.12.post_attention_layernorm.weight",
"model.layers.13.block_sparse_moe.gate.weight",
"model.layers.13.input_layernorm.weight",
"model.layers.13.post_attention_layernorm.weight",
"model.layers.14.block_sparse_moe.gate.weight",
"model.layers.14.input_layernorm.weight",
"model.layers.14.post_attention_layernorm.weight",
"model.layers.15.block_sparse_moe.gate.weight",
"model.layers.15.input_layernorm.weight",
"model.layers.15.post_attention_layernorm.weight",
"model.layers.16.block_sparse_moe.gate.weight",
"model.layers.16.input_layernorm.weight",
"model.layers.16.post_attention_layernorm.weight",
"model.layers.17.block_sparse_moe.gate.weight",
"model.layers.17.input_layernorm.weight",
"model.layers.17.post_attention_layernorm.weight",
"model.layers.18.block_sparse_moe.gate.weight",
"model.layers.18.input_layernorm.weight",
"model.layers.18.post_attention_layernorm.weight",
"model.layers.19.block_sparse_moe.gate.weight",
"model.layers.19.input_layernorm.weight",
"model.layers.19.post_attention_layernorm.weight",
"model.layers.20.block_sparse_moe.gate.weight",
"model.layers.20.input_layernorm.weight",
"model.layers.20.post_attention_layernorm.weight",
"model.layers.21.block_sparse_moe.gate.weight",
"model.layers.21.input_layernorm.weight",
"model.layers.21.post_attention_layernorm.weight",
"model.layers.22.block_sparse_moe.gate.weight",
"model.layers.22.input_layernorm.weight",
"model.layers.22.post_attention_layernorm.weight",
"model.layers.23.block_sparse_moe.gate.weight",
"model.layers.23.input_layernorm.weight",
"model.layers.23.post_attention_layernorm.weight",
"model.layers.24.block_sparse_moe.gate.weight",
"model.layers.24.input_layernorm.weight",
"model.layers.24.post_attention_layernorm.weight",
"model.layers.25.block_sparse_moe.gate.weight",
"model.layers.25.input_layernorm.weight",
"model.layers.25.post_attention_layernorm.weight",
"model.layers.26.block_sparse_moe.gate.weight",
"model.layers.26.input_layernorm.weight",
"model.layers.26.post_attention_layernorm.weight",
"model.layers.27.block_sparse_moe.gate.weight",
"model.layers.27.input_layernorm.weight",
"model.layers.27.post_attention_layernorm.weight",
"model.layers.28.block_sparse_moe.gate.weight",
"model.layers.28.input_layernorm.weight",
"model.layers.28.post_attention_layernorm.weight",
"model.layers.29.block_sparse_moe.gate.weight",
"model.layers.29.input_layernorm.weight",
"model.layers.29.post_attention_layernorm.weight",
"model.layers.30.block_sparse_moe.gate.weight",
"model.layers.30.input_layernorm.weight",
"model.layers.30.post_attention_layernorm.weight",
"model.layers.31.block_sparse_moe.gate.weight",
"model.layers.31.input_layernorm.weight",
"model.layers.31.post_attention_layernorm.weight",
"model.embed_tokens.weight",
"model.norm.weight",
"lm_head.weight"
],
"nbits_per_codebook": 16,
"num_codebooks": 1,
"out_group_size": 1,
"quant_method": "aqlm"
},
"rms_norm_eps": 1e-05,
"rope_theta": 1000000.0,
"router_aux_loss_coef": 0.02,
"sliding_window": null,
"tie_word_embeddings": false,
"torch_dtype": "float16",
"transformers_version": "4.38.0",
"use_cache": true,
"vocab_size": 32000
}
|