config.json

{
  "architectures": [
    "Qwen3NextForCausalLM"
  ],
  "attention_bias": false,
  "attention_dropout": 0.0,
  "bos_token_id": 151643,
  "decoder_sparse_step": 1,
  "dtype": "bfloat16",
  "eos_token_id": 151645,
  "full_attention_interval": 4,
  "head_dim": 256,
  "hidden_act": "silu",
  "hidden_size": 2048,
  "initializer_range": 0.02,
  "intermediate_size": 5120,
  "layer_types": [
    "linear_attention",
    "linear_attention",
    "linear_attention",
    "full_attention",
    "linear_attention",
    "linear_attention",
    "linear_attention",
    "full_attention",
    "linear_attention",
    "linear_attention",
    "linear_attention",
    "full_attention",
    "linear_attention",
    "linear_attention",
    "linear_attention",
    "full_attention",
    "linear_attention",
    "linear_attention",
    "linear_attention",
    "full_attention",
    "linear_attention",
    "linear_attention",
    "linear_attention",
    "full_attention",
    "linear_attention",
    "linear_attention",
    "linear_attention",
    "full_attention",
    "linear_attention",
    "linear_attention",
    "linear_attention",
    "full_attention",
    "linear_attention",
    "linear_attention",
    "linear_attention",
    "full_attention",
    "linear_attention",
    "linear_attention",
    "linear_attention",
    "full_attention",
    "linear_attention",
    "linear_attention",
    "linear_attention",
    "full_attention",
    "linear_attention",
    "linear_attention",
    "linear_attention",
    "full_attention"
  ],
  "linear_conv_kernel_dim": 4,
  "linear_key_head_dim": 128,
  "linear_num_key_heads": 16,
  "linear_num_value_heads": 32,
  "linear_value_head_dim": 128,
  "max_position_embeddings": 262144,
  "mlp_only_layers": [],
  "model_type": "qwen3_next",
  "moe_intermediate_size": 512,
  "norm_topk_prob": true,
  "num_attention_heads": 16,
  "num_experts": 512,
  "num_experts_per_tok": 10,
  "num_hidden_layers": 48,
  "num_key_value_heads": 2,
  "output_router_logits": false,
  "partial_rotary_factor": 0.25,
  "quantization_config": {
    "format": "float-quantized",
    "quant_method": "compressed-tensors",
    "quantization_status": "compressed",
    "version": "0.11.0",
    "kv_cache_scheme": null,
    "global_compression_ratio": null,
    "transform_config": {},
    "sparsity_config": {},
    "config_groups": {
      "group_0": {
        "targets": [
          "Linear"
        ],
        "input_activations": {
          "type": "float",
          "num_bits": 8,
          "strategy": "token",
          "symmetric": true,
          "dynamic": true,
          "observer": null,
          "observer_kwargs": {},
          "group_size": null,
          "block_structure": null,
          "actorder": null
        },
        "output_activations": null,
        "weights": {
          "type": "float",
          "num_bits": 8,
          "strategy": "channel",
          "symmetric": true,
          "dynamic": false,
          "observer": "minmax",
          "observer_kwargs": {},
          "group_size": null,
          "block_structure": null,
          "actorder": null
        }
      }
    },
    "ignore": [
      "lm_head",
      "re:.*mlp.gate$",
      "re:.*router$",
      "re:.*shared_expert_gate$"
    ]
  },
  "rms_norm_eps": 1e-06,
  "rope_scaling": null,
  "rope_theta": 10000000,
  "router_aux_loss_coef": 0.001,
  "shared_expert_intermediate_size": 512,
  "tie_word_embeddings": false,
  "transformers_version": "4.57.0.dev0",
  "use_cache": true,
  "use_sliding_window": false,
  "vocab_size": 151936
}