{
  "_name_or_path": "MiniMaxAI/MiniMax-Text-01",
  "architectures": [
    "MiniMaxText01ForCausalLM"
  ],
  "attention_dropout": 0.0,
  "attn_type_list": [
    0,
    0,
    0,
    0,
    0,
    0,
    0,
    1,
    0,
    0,
    0,
    0,
    0,
    0,
    0,
    1,
    0,
    0,
    0,
    0,
    0,
    0,
    0,
    1,
    0,
    0,
    0,
    0,
    0,
    0,
    0,
    1,
    0,
    0,
    0,
    0,
    0,
    0,
    0,
    1,
    0,
    0,
    0,
    0,
    0,
    0,
    0,
    1,
    0,
    0,
    0,
    0,
    0,
    0,
    0,
    1,
    0,
    0,
    0,
    0,
    0,
    0,
    0,
    1,
    0,
    0,
    0,
    0,
    0,
    0,
    0,
    1,
    0,
    0,
    0,
    0,
    0,
    0,
    0,
    1
  ],
  "auto_map": {
    "AutoConfig": "MiniMaxAI/MiniMax-Text-01--configuration_minimax_text_01.MiniMaxText01Config",
    "AutoModelForCausalLM": "MiniMaxAI/MiniMax-Text-01--modeling_minimax_text_01.MiniMaxText01ForCausalLM"
  },
  "head_dim": 128,
  "hidden_act": "silu",
  "hidden_size": 6144,
  "initializer_range": 0.02,
  "intermediate_size": 9216,
  "layernorm_full_attention_alpha": 3.5565588200778455,
  "layernorm_full_attention_beta": 1.0,
  "layernorm_linear_attention_alpha": 3.5565588200778455,
  "layernorm_linear_attention_beta": 1.0,
  "layernorm_mlp_alpha": 3.5565588200778455,
  "layernorm_mlp_beta": 1.0,
  "max_position_embeddings": 10240000,
  "model_type": "MiniMaxText01",
  "num_attention_heads": 64,
  "num_experts_per_tok": 2,
  "num_hidden_layers": 80,
  "num_key_value_heads": 8,
  "num_local_experts": 32,
  "output_router_logits": false,
  "postnorm": true,
  "quantization_config": {
    "amp": true,
    "autoround_version": "0.4.4",
    "backend": "auto_round:gptq",
    "batch_size": 1,
    "bits": 4,
    "data_type": "int",
    "dataset": "NeelNanda/pile-10k",
    "enable_minmax_tuning": true,
    "enable_norm_bias_tuning": false,
    "enable_quanted_input": true,
    "extra_config": {
      "model.layers.0.block_sparse_moe.gate": {
        "bits": 16,
        "data_type": "bfloat"
      },
      "model.layers.1.block_sparse_moe.gate": {
        "bits": 16,
        "data_type": "bfloat"
      },
      "model.layers.10.block_sparse_moe.gate": {
        "bits": 16,
        "data_type": "bfloat"
      },
      "model.layers.11.block_sparse_moe.gate": {
        "bits": 16,
        "data_type": "bfloat"
      },
      "model.layers.12.block_sparse_moe.gate": {
        "bits": 16,
        "data_type": "bfloat"
      },
      "model.layers.13.block_sparse_moe.gate": {
        "bits": 16,
        "data_type": "bfloat"
      },
      "model.layers.14.block_sparse_moe.gate": {
        "bits": 16,
        "data_type": "bfloat"
      },
      "model.layers.15.block_sparse_moe.gate": {
        "bits": 16,
        "data_type": "bfloat"
      },
      "model.layers.16.block_sparse_moe.gate": {
        "bits": 16,
        "data_type": "bfloat"
      },
      "model.layers.17.block_sparse_moe.gate": {
        "bits": 16,
        "data_type": "bfloat"
      },
      "model.layers.18.block_sparse_moe.gate": {
        "bits": 16,
        "data_type": "bfloat"
      },
      "model.layers.19.block_sparse_moe.gate": {
        "bits": 16,
        "data_type": "bfloat"
      },
      "model.layers.2.block_sparse_moe.gate": {
        "bits": 16,
        "data_type": "bfloat"
      },
      "model.layers.20.block_sparse_moe.gate": {
        "bits": 16,
        "data_type": "bfloat"
      },
      "model.layers.21.block_sparse_moe.gate": {
        "bits": 16,
        "data_type": "bfloat"
      },
      "model.layers.22.block_sparse_moe.gate": {
        "bits": 16,
        "data_type": "bfloat"
      },
      "model.layers.23.block_sparse_moe.gate": {
        "bits": 16,
        "data_type": "bfloat"
      },
      "model.layers.24.block_sparse_moe.gate": {
        "bits": 16,
        "data_type": "bfloat"
      },
      "model.layers.25.block_sparse_moe.gate": {
        "bits": 16,
        "data_type": "bfloat"
      },
      "model.layers.26.block_sparse_moe.gate": {
        "bits": 16,
        "data_type": "bfloat"
      },
      "model.layers.27.block_sparse_moe.gate": {
        "bits": 16,
        "data_type": "bfloat"
      },
      "model.layers.28.block_sparse_moe.gate": {
        "bits": 16,
        "data_type": "bfloat"
      },
      "model.layers.29.block_sparse_moe.gate": {
        "bits": 16,
        "data_type": "bfloat"
      },
      "model.layers.3.block_sparse_moe.gate": {
        "bits": 16,
        "data_type": "bfloat"
      },
      "model.layers.30.block_sparse_moe.gate": {
        "bits": 16,
        "data_type": "bfloat"
      },
      "model.layers.31.block_sparse_moe.gate": {
        "bits": 16,
        "data_type": "bfloat"
      },
      "model.layers.32.block_sparse_moe.gate": {
        "bits": 16,
        "data_type": "bfloat"
      },
      "model.layers.33.block_sparse_moe.gate": {
        "bits": 16,
        "data_type": "bfloat"
      },
      "model.layers.34.block_sparse_moe.gate": {
        "bits": 16,
        "data_type": "bfloat"
      },
      "model.layers.35.block_sparse_moe.gate": {
        "bits": 16,
        "data_type": "bfloat"
      },
      "model.layers.36.block_sparse_moe.gate": {
        "bits": 16,
        "data_type": "bfloat"
      },
      "model.layers.37.block_sparse_moe.gate": {
        "bits": 16,
        "data_type": "bfloat"
      },
      "model.layers.38.block_sparse_moe.gate": {
        "bits": 16,
        "data_type": "bfloat"
      },
      "model.layers.39.block_sparse_moe.gate": {
        "bits": 16,
        "data_type": "bfloat"
      },
      "model.layers.4.block_sparse_moe.gate": {
        "bits": 16,
        "data_type": "bfloat"
      },
      "model.layers.40.block_sparse_moe.gate": {
        "bits": 16,
        "data_type": "bfloat"
      },
      "model.layers.41.block_sparse_moe.gate": {
        "bits": 16,
        "data_type": "bfloat"
      },
      "model.layers.42.block_sparse_moe.gate": {
        "bits": 16,
        "data_type": "bfloat"
      },
      "model.layers.43.block_sparse_moe.gate": {
        "bits": 16,
        "data_type": "bfloat"
      },
      "model.layers.44.block_sparse_moe.gate": {
        "bits": 16,
        "data_type": "bfloat"
      },
      "model.layers.45.block_sparse_moe.gate": {
        "bits": 16,
        "data_type": "bfloat"
      },
      "model.layers.46.block_sparse_moe.gate": {
        "bits": 16,
        "data_type": "bfloat"
      },
      "model.layers.47.block_sparse_moe.gate": {
        "bits": 16,
        "data_type": "bfloat"
      },
      "model.layers.48.block_sparse_moe.gate": {
        "bits": 16,
        "data_type": "bfloat"
      },
      "model.layers.49.block_sparse_moe.gate": {
        "bits": 16,
        "data_type": "bfloat"
      },
      "model.layers.5.block_sparse_moe.gate": {
        "bits": 16,
        "data_type": "bfloat"
      },
      "model.layers.50.block_sparse_moe.gate": {
        "bits": 16,
        "data_type": "bfloat"
      },
      "model.layers.51.block_sparse_moe.gate": {
        "bits": 16,
        "data_type": "bfloat"
      },
      "model.layers.52.block_sparse_moe.gate": {
        "bits": 16,
        "data_type": "bfloat"
      },
      "model.layers.53.block_sparse_moe.gate": {
        "bits": 16,
        "data_type": "bfloat"
      },
      "model.layers.54.block_sparse_moe.gate": {
        "bits": 16,
        "data_type": "bfloat"
      },
      "model.layers.55.block_sparse_moe.gate": {
        "bits": 16,
        "data_type": "bfloat"
      },
      "model.layers.56.block_sparse_moe.gate": {
        "bits": 16,
        "data_type": "bfloat"
      },
      "model.layers.57.block_sparse_moe.gate": {
        "bits": 16,
        "data_type": "bfloat"
      },
      "model.layers.58.block_sparse_moe.gate": {
        "bits": 16,
        "data_type": "bfloat"
      },
      "model.layers.59.block_sparse_moe.gate": {
        "bits": 16,
        "data_type": "bfloat"
      },
      "model.layers.6.block_sparse_moe.gate": {
        "bits": 16,
        "data_type": "bfloat"
      },
      "model.layers.60.block_sparse_moe.gate": {
        "bits": 16,
        "data_type": "bfloat"
      },
      "model.layers.61.block_sparse_moe.gate": {
        "bits": 16,
        "data_type": "bfloat"
      },
      "model.layers.62.block_sparse_moe.gate": {
        "bits": 16,
        "data_type": "bfloat"
      },
      "model.layers.63.block_sparse_moe.gate": {
        "bits": 16,
        "data_type": "bfloat"
      },
      "model.layers.64.block_sparse_moe.gate": {
        "bits": 16,
        "data_type": "bfloat"
      },
      "model.layers.65.block_sparse_moe.gate": {
        "bits": 16,
        "data_type": "bfloat"
      },
      "model.layers.66.block_sparse_moe.gate": {
        "bits": 16,
        "data_type": "bfloat"
      },
      "model.layers.67.block_sparse_moe.gate": {
        "bits": 16,
        "data_type": "bfloat"
      },
      "model.layers.68.block_sparse_moe.gate": {
        "bits": 16,
        "data_type": "bfloat"
      },
      "model.layers.69.block_sparse_moe.gate": {
        "bits": 16,
        "data_type": "bfloat"
      },
      "model.layers.7.block_sparse_moe.gate": {
        "bits": 16,
        "data_type": "bfloat"
      },
      "model.layers.70.block_sparse_moe.gate": {
        "bits": 16,
        "data_type": "bfloat"
      },
      "model.layers.71.block_sparse_moe.gate": {
        "bits": 16,
        "data_type": "bfloat"
      },
      "model.layers.72.block_sparse_moe.gate": {
        "bits": 16,
        "data_type": "bfloat"
      },
      "model.layers.73.block_sparse_moe.gate": {
        "bits": 16,
        "data_type": "bfloat"
      },
      "model.layers.74.block_sparse_moe.gate": {
        "bits": 16,
        "data_type": "bfloat"
      },
      "model.layers.75.block_sparse_moe.gate": {
        "bits": 16,
        "data_type": "bfloat"
      },
      "model.layers.76.block_sparse_moe.gate": {
        "bits": 16,
        "data_type": "bfloat"
      },
      "model.layers.77.block_sparse_moe.gate": {
        "bits": 16,
        "data_type": "bfloat"
      },
      "model.layers.78.block_sparse_moe.gate": {
        "bits": 16,
        "data_type": "bfloat"
      },
      "model.layers.79.block_sparse_moe.gate": {
        "bits": 16,
        "data_type": "bfloat"
      },
      "model.layers.8.block_sparse_moe.gate": {
        "bits": 16,
        "data_type": "bfloat"
      },
      "model.layers.9.block_sparse_moe.gate": {
        "bits": 16,
        "data_type": "bfloat"
      }
    },
    "gradient_accumulate_steps": 4,
    "group_size": 128,
    "iters": 200,
    "low_gpu_mem_usage": false,
    "lr": 0.005,
    "minmax_lr": 0.005,
    "nsamples": 128,
    "quant_method": "intel/auto-round",
    "scale_dtype": "torch.float16",
    "seqlen": 512,
    "sym": true,
    "to_quant_block_names": null
  },
  "rms_norm_eps": 1e-05,
  "rope_theta": 10000000,
  "rotary_dim": 64,
  "router_aux_loss_coef": 0.001,
  "router_jitter_noise": 0.0,
  "shared_intermediate_size": 0,
  "shared_moe_mode": "sigmoid",
  "sliding_window": null,
  "tie_word_embeddings": false,
  "torch_dtype": "bfloat16",
  "transformers_version": "4.48.0",
  "use_cache": true,
  "vocab_size": 200064
}