config.json

{
  "_name_or_path": "/model/mistralai/Mixtral-8x7B-Instruct-v0.1-MLCommons",
  "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": {
    "activation_scheme": "static",
    "export": {
      "kv_cache_group": [
        "*k_proj",
        "*v_proj"
      ],
      "pack_method": "reorder",
      "weight_format": "real_quantized",
      "weight_merge_groups": null
    },
    "ignored_layers": [
      "model.layers.0.block_sparse_moe.gate",
      "model.layers.1.block_sparse_moe.gate",
      "model.layers.2.block_sparse_moe.gate",
      "model.layers.3.block_sparse_moe.gate",
      "model.layers.4.block_sparse_moe.gate",
      "model.layers.5.block_sparse_moe.gate",
      "model.layers.6.block_sparse_moe.gate",
      "model.layers.7.block_sparse_moe.gate",
      "model.layers.8.block_sparse_moe.gate",
      "model.layers.9.block_sparse_moe.gate",
      "model.layers.10.block_sparse_moe.gate",
      "model.layers.11.block_sparse_moe.gate",
      "model.layers.12.block_sparse_moe.gate",
      "model.layers.13.block_sparse_moe.gate",
      "model.layers.14.block_sparse_moe.gate",
      "model.layers.15.block_sparse_moe.gate",
      "model.layers.16.block_sparse_moe.gate",
      "model.layers.17.block_sparse_moe.gate",
      "model.layers.18.block_sparse_moe.gate",
      "model.layers.19.block_sparse_moe.gate",
      "model.layers.20.block_sparse_moe.gate",
      "model.layers.21.block_sparse_moe.gate",
      "model.layers.22.block_sparse_moe.gate",
      "model.layers.23.block_sparse_moe.gate",
      "model.layers.24.block_sparse_moe.gate",
      "model.layers.25.block_sparse_moe.gate",
      "model.layers.26.block_sparse_moe.gate",
      "model.layers.27.block_sparse_moe.gate",
      "model.layers.28.block_sparse_moe.gate",
      "model.layers.29.block_sparse_moe.gate",
      "model.layers.30.block_sparse_moe.gate",
      "model.layers.31.block_sparse_moe.gate",
      "lm_head"
    ],
    "kv_cache_scheme": "static",
    "quant_method": "fp8"
  },
  "rms_norm_eps": 1e-05,
  "rope_theta": 1000000.0,
  "router_aux_loss_coef": 0.02,
  "router_jitter_noise": 0.0,
  "sliding_window": null,
  "tie_word_embeddings": false,
  "torch_dtype": "float16",
  "transformers_version": "4.46.3",
  "use_cache": true,
  "vocab_size": 32000
}