{
    "architectures": [
        "BailingMoeV2ForCausalLM"
    ],
    "attention_dropout": 0.0,
    "auto_map": {
        "AutoConfig": "configuration_bailing_moe_v2.BailingMoeV2Config",
        "AutoModel": "modeling_bailing_moe_v2.BailingMoeV2Model",
        "AutoModelForCausalLM": "modeling_bailing_moe_v2.BailingMoeV2ForCausalLM"
    },
    "embedding_dropout": 0.0,
    "eos_token_id": 156895,
    "first_k_dense_replace": 1,
    "head_dim": 128,
    "hidden_act": "silu",
    "hidden_size": 2048,
    "intermediate_size": 5120,
    "max_position_embeddings": 32768,
    "model_type": "bailing_moe",
    "moe_intermediate_size": 512,
    "moe_router_enable_expert_bias": true,
    "moe_shared_expert_intermediate_size": 512,
    "n_group": 8,
    "norm_topk_prob": true,
    "num_attention_heads": 16,
    "num_experts": 256,
    "num_experts_per_tok": 8,
    "num_hidden_layers": 20,
    "num_key_value_heads": 4,
    "num_nextn_predict_layers": 0,
    "num_shared_experts": 1,
    "output_dropout": 0.0,
    "pad_token_id": 156892,
    "partial_rotary_factor": 0.5,
    "quantization": {
        "group_size": 32,
        "bits": 3,
        "model.layers.1.mlp.gate.gate_proj": {
            "group_size": 64,
            "bits": 8
        },
        "model.layers.2.mlp.gate.gate_proj": {
            "group_size": 64,
            "bits": 8
        },
        "model.layers.3.mlp.gate.gate_proj": {
            "group_size": 64,
            "bits": 8
        },
        "model.layers.4.mlp.gate.gate_proj": {
            "group_size": 64,
            "bits": 8
        },
        "model.layers.5.mlp.gate.gate_proj": {
            "group_size": 64,
            "bits": 8
        },
        "model.layers.6.mlp.gate.gate_proj": {
            "group_size": 64,
            "bits": 8
        },
        "model.layers.7.mlp.gate.gate_proj": {
            "group_size": 64,
            "bits": 8
        },
        "model.layers.8.mlp.gate.gate_proj": {
            "group_size": 64,
            "bits": 8
        },
        "model.layers.9.mlp.gate.gate_proj": {
            "group_size": 64,
            "bits": 8
        },
        "model.layers.10.mlp.gate.gate_proj": {
            "group_size": 64,
            "bits": 8
        },
        "model.layers.11.mlp.gate.gate_proj": {
            "group_size": 64,
            "bits": 8
        },
        "model.layers.12.mlp.gate.gate_proj": {
            "group_size": 64,
            "bits": 8
        },
        "model.layers.13.mlp.gate.gate_proj": {
            "group_size": 64,
            "bits": 8
        },
        "model.layers.14.mlp.gate.gate_proj": {
            "group_size": 64,
            "bits": 8
        },
        "model.layers.15.mlp.gate.gate_proj": {
            "group_size": 64,
            "bits": 8
        },
        "model.layers.16.mlp.gate.gate_proj": {
            "group_size": 64,
            "bits": 8
        },
        "model.layers.17.mlp.gate.gate_proj": {
            "group_size": 64,
            "bits": 8
        },
        "model.layers.18.mlp.gate.gate_proj": {
            "group_size": 64,
            "bits": 8
        },
        "model.layers.19.mlp.gate.gate_proj": {
            "group_size": 64,
            "bits": 8
        }
    },
    "quantization_config": {
        "group_size": 32,
        "bits": 3,
        "model.layers.1.mlp.gate.gate_proj": {
            "group_size": 64,
            "bits": 8
        },
        "model.layers.2.mlp.gate.gate_proj": {
            "group_size": 64,
            "bits": 8
        },
        "model.layers.3.mlp.gate.gate_proj": {
            "group_size": 64,
            "bits": 8
        },
        "model.layers.4.mlp.gate.gate_proj": {
            "group_size": 64,
            "bits": 8
        },
        "model.layers.5.mlp.gate.gate_proj": {
            "group_size": 64,
            "bits": 8
        },
        "model.layers.6.mlp.gate.gate_proj": {
            "group_size": 64,
            "bits": 8
        },
        "model.layers.7.mlp.gate.gate_proj": {
            "group_size": 64,
            "bits": 8
        },
        "model.layers.8.mlp.gate.gate_proj": {
            "group_size": 64,
            "bits": 8
        },
        "model.layers.9.mlp.gate.gate_proj": {
            "group_size": 64,
            "bits": 8
        },
        "model.layers.10.mlp.gate.gate_proj": {
            "group_size": 64,
            "bits": 8
        },
        "model.layers.11.mlp.gate.gate_proj": {
            "group_size": 64,
            "bits": 8
        },
        "model.layers.12.mlp.gate.gate_proj": {
            "group_size": 64,
            "bits": 8
        },
        "model.layers.13.mlp.gate.gate_proj": {
            "group_size": 64,
            "bits": 8
        },
        "model.layers.14.mlp.gate.gate_proj": {
            "group_size": 64,
            "bits": 8
        },
        "model.layers.15.mlp.gate.gate_proj": {
            "group_size": 64,
            "bits": 8
        },
        "model.layers.16.mlp.gate.gate_proj": {
            "group_size": 64,
            "bits": 8
        },
        "model.layers.17.mlp.gate.gate_proj": {
            "group_size": 64,
            "bits": 8
        },
        "model.layers.18.mlp.gate.gate_proj": {
            "group_size": 64,
            "bits": 8
        },
        "model.layers.19.mlp.gate.gate_proj": {
            "group_size": 64,
            "bits": 8
        }
    },
    "rms_norm_eps": 1e-06,
    "rope_scaling": null,
    "rope_theta": 600000,
    "routed_scaling_factor": 2.5,
    "router_dtype": "fp32",
    "score_function": "sigmoid",
    "tie_word_embeddings": false,
    "topk_group": 4,
    "torch_dtype": "bfloat16",
    "transformers_version": "4.52.3",
    "use_bias": false,
    "use_cache": true,
    "use_qk_norm": true,
    "use_qkv_bias": false,
    "use_rmsnorm": true,
    "vocab_size": 157184
}